Hugging Face's logo

Thang203
/
us-only-mar11

Text Classification
BERTopic
Model card Files
xet
 Community
Thang203 commited on
Commit
d56c4f0
·
verified ·
1 Parent(s): fc90f6c

Add BERTopic model

Browse files
Files changed (6) hide show
  1. README.md +89 -0
  2. config.json +17 -0
  3. ctfidf.bin +3 -0
  4. ctfidf_config.json +0 -0
  5. topic_embeddings.bin +3 -0
  6. topics.json +5558 -0
README.md ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+ tags:
4
+ - bertopic
5
+ library_name: bertopic
6
+ pipeline_tag: text-classification
7
+ ---
8
+
9
+ # us-only-mar11
10
+
11
+ This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
12
+ BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
13
+
14
+ ## Usage
15
+
16
+ To use this model, please install BERTopic:
17
+
18
+ ```
19
+ pip install -U bertopic
20
+ ```
21
+
22
+ You can use the model as follows:
23
+
24
+ ```python
25
+ from bertopic import BERTopic
26
+ topic_model = BERTopic.load("Thang203/us-only-mar11")
27
+
28
+ topic_model.get_topic_info()
29
+ ```
30
+
31
+ ## Topic overview
32
+
33
+ * Number of topics: 20
34
+ * Number of training documents: 1908
35
+
36
+ <details>
37
+ <summary>Click here for an overview of all topics.</summary>
38
+
39
+ | Topic ID | Topic Keywords | Topic Frequency | Label |
40
+ |----------|----------------|-----------------|-------|
41
+ | -1 | models - language - model - language models - llms | 10 | -1_models_language_model_language models |
42
+ | 0 | models - language - reasoning - language models - large | 616 | 0_models_language_reasoning_language models |
43
+ | 1 | code - llms - language - models - programming | 467 | 1_code_llms_language_models |
44
+ | 2 | learning - reinforcement - reinforcement learning - planning - rl | 139 | 2_learning_reinforcement_reinforcement learning_planning |
45
+ | 3 | clinical - medical - models - language - data | 92 | 3_clinical_medical_models_language |
46
+ | 4 | language - models - language models - llms - scaling | 86 | 4_language_models_language models_llms |
47
+ | 5 | summarization - event - generation - events - text | 75 | 5_summarization_event_generation_events |
48
+ | 6 | dialogue - dialog - systems - conversational - conversations | 59 | 6_dialogue_dialog_systems_conversational |
49
+ | 7 | text - adversarial - attacks - detection - models | 58 | 7_text_adversarial_attacks_detection |
50
+ | 8 | bias - biases - social - gender - models | 52 | 8_bias_biases_social_gender |
51
+ | 9 | ai - chatgpt - ethical - artificial intelligence - intelligence | 49 | 9_ai_chatgpt_ethical_artificial intelligence |
52
+ | 10 | education - students - programming - educational - questions | 49 | 10_education_students_programming_educational |
53
+ | 11 | privacy - private - federated - attacks - models | 37 | 11_privacy_private_federated_attacks |
54
+ | 12 | speech - audio - asr - speech recognition - recognition | 21 | 12_speech_audio_asr_speech recognition |
55
+ | 13 | materials - chemistry - chemical - molecular - model | 20 | 13_materials_chemistry_chemical_molecular |
56
+ | 14 | recommendation - user - item - reviews - news | 20 | 14_recommendation_user_item_reviews |
57
+ | 15 | financial - sentiment - stock - data - market | 17 | 15_financial_sentiment_stock_data |
58
+ | 16 | game - games - state - generate - state information | 15 | 16_game_games_state_generate |
59
+ | 17 | legal - law - argumentative - court - standards | 14 | 17_legal_law_argumentative_court |
60
+ | 18 | metadata - language - keyphrase - large - user intents | 12 | 18_metadata_language_keyphrase_large |
61
+
62
+ </details>
63
+
64
+ ## Training hyperparameters
65
+
66
+ * calculate_probabilities: False
67
+ * language: english
68
+ * low_memory: False
69
+ * min_topic_size: 10
70
+ * n_gram_range: (1, 1)
71
+ * nr_topics: 20
72
+ * seed_topic_list: None
73
+ * top_n_words: 10
74
+ * verbose: True
75
+ * zeroshot_min_similarity: 0.7
76
+ * zeroshot_topic_list: None
77
+
78
+ ## Framework versions
79
+
80
+ * Numpy: 1.25.2
81
+ * HDBSCAN: 0.8.33
82
+ * UMAP: 0.5.5
83
+ * Pandas: 1.5.3
84
+ * Scikit-Learn: 1.2.2
85
+ * Sentence-transformers: 2.5.1
86
+ * Transformers: 4.38.2
87
+ * Numba: 0.58.1
88
+ * Plotly: 5.15.0
89
+ * Python: 3.10.12
config.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "calculate_probabilities": false,
3
+ "language": "english",
4
+ "low_memory": false,
5
+ "min_topic_size": 10,
6
+ "n_gram_range": [
7
+ 1,
8
+ 1
9
+ ],
10
+ "nr_topics": 20,
11
+ "seed_topic_list": null,
12
+ "top_n_words": 10,
13
+ "verbose": true,
14
+ "zeroshot_min_similarity": 0.7,
15
+ "zeroshot_topic_list": null,
16
+ "embedding_model": "sentence-transformers/all-MiniLM-L6-v2"
17
+ }
ctfidf.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:665bcf68514fbcea2764fa202dda117e3c7d2c1c62c53dcef2689755597b0bb0
3
+ size 1232387
ctfidf_config.json ADDED
The diff for this file is too large to render. See raw diff
 
topic_embeddings.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:59e719c8d16c8cebd21e92e56c040be8b20ac64bcc2a24c713b382de0f40d4e8
3
+ size 32009
topics.json ADDED
@@ -0,0 +1,5558 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "topic_representations": {
3
+ "-1": [
4
+ [
5
+ "models",
6
+ 0.023185208102591424
7
+ ],
8
+ [
9
+ "language",
10
+ 0.021241209563513157
11
+ ],
12
+ [
13
+ "model",
14
+ 0.017230200360880122
15
+ ],
16
+ [
17
+ "language models",
18
+ 0.015942996344974904
19
+ ],
20
+ [
21
+ "llms",
22
+ 0.015053164156791735
23
+ ],
24
+ [
25
+ "large",
26
+ 0.01503488403773869
27
+ ],
28
+ [
29
+ "data",
30
+ 0.013672206532556424
31
+ ],
32
+ [
33
+ "tasks",
34
+ 0.013288180905775757
35
+ ],
36
+ [
37
+ "large language",
38
+ 0.013226292013718157
39
+ ],
40
+ [
41
+ "large language models",
42
+ 0.012014622692192101
43
+ ]
44
+ ],
45
+ "0": [
46
+ [
47
+ "models",
48
+ 0.02510498727465879
49
+ ],
50
+ [
51
+ "language",
52
+ 0.022174943980480366
53
+ ],
54
+ [
55
+ "reasoning",
56
+ 0.020035009390582618
57
+ ],
58
+ [
59
+ "language models",
60
+ 0.01707514594735875
61
+ ],
62
+ [
63
+ "large",
64
+ 0.016786565537276456
65
+ ],
66
+ [
67
+ "model",
68
+ 0.016297694200264817
69
+ ],
70
+ [
71
+ "performance",
72
+ 0.014851589256924487
73
+ ],
74
+ [
75
+ "tasks",
76
+ 0.014622399825528846
77
+ ],
78
+ [
79
+ "large language",
80
+ 0.013766347887073836
81
+ ],
82
+ [
83
+ "llms",
84
+ 0.013409395529759541
85
+ ]
86
+ ],
87
+ "1": [
88
+ [
89
+ "code",
90
+ 0.06182675820279348
91
+ ],
92
+ [
93
+ "llms",
94
+ 0.023694826215074214
95
+ ],
96
+ [
97
+ "language",
98
+ 0.02115614473852905
99
+ ],
100
+ [
101
+ "models",
102
+ 0.021006565524786646
103
+ ],
104
+ [
105
+ "programming",
106
+ 0.018292637018830545
107
+ ],
108
+ [
109
+ "software",
110
+ 0.017624396624625883
111
+ ],
112
+ [
113
+ "large",
114
+ 0.017401492497123906
115
+ ],
116
+ [
117
+ "language models",
118
+ 0.016007727101462334
119
+ ],
120
+ [
121
+ "large language",
122
+ 0.015976209789711364
123
+ ],
124
+ [
125
+ "large language models",
126
+ 0.014735799151669358
127
+ ]
128
+ ],
129
+ "2": [
130
+ [
131
+ "learning",
132
+ 0.0279794134558349
133
+ ],
134
+ [
135
+ "reinforcement",
136
+ 0.024755374910131994
137
+ ],
138
+ [
139
+ "reinforcement learning",
140
+ 0.024542322381648593
141
+ ],
142
+ [
143
+ "planning",
144
+ 0.023967219613138028
145
+ ],
146
+ [
147
+ "rl",
148
+ 0.023326198647124742
149
+ ],
150
+ [
151
+ "robot",
152
+ 0.02287408968940891
153
+ ],
154
+ [
155
+ "language",
156
+ 0.022798928336628443
157
+ ],
158
+ [
159
+ "reward",
160
+ 0.020043586557211546
161
+ ],
162
+ [
163
+ "policy",
164
+ 0.01884019553067392
165
+ ],
166
+ [
167
+ "tasks",
168
+ 0.01858891539683542
169
+ ]
170
+ ],
171
+ "3": [
172
+ [
173
+ "clinical",
174
+ 0.04733355732409683
175
+ ],
176
+ [
177
+ "medical",
178
+ 0.02827191879296549
179
+ ],
180
+ [
181
+ "models",
182
+ 0.023100731258597528
183
+ ],
184
+ [
185
+ "language",
186
+ 0.021046904287728836
187
+ ],
188
+ [
189
+ "data",
190
+ 0.02048513587801478
191
+ ],
192
+ [
193
+ "biomedical",
194
+ 0.018979238283679405
195
+ ],
196
+ [
197
+ "llms",
198
+ 0.017355353730415454
199
+ ],
200
+ [
201
+ "health",
202
+ 0.01723365329348662
203
+ ],
204
+ [
205
+ "large",
206
+ 0.01647052930196912
207
+ ],
208
+ [
209
+ "large language",
210
+ 0.01585573112190014
211
+ ]
212
+ ],
213
+ "4": [
214
+ [
215
+ "language",
216
+ 0.033794292635253576
217
+ ],
218
+ [
219
+ "models",
220
+ 0.032107322861617923
221
+ ],
222
+ [
223
+ "language models",
224
+ 0.0279587486259568
225
+ ],
226
+ [
227
+ "llms",
228
+ 0.019566118796545906
229
+ ],
230
+ [
231
+ "scaling",
232
+ 0.01825715942620782
233
+ ],
234
+ [
235
+ "large",
236
+ 0.01735738149225036
237
+ ],
238
+ [
239
+ "hallucinations",
240
+ 0.01714318322601738
241
+ ],
242
+ [
243
+ "large language",
244
+ 0.01577711455829973
245
+ ],
246
+ [
247
+ "large language models",
248
+ 0.015648846559255893
249
+ ],
250
+ [
251
+ "training",
252
+ 0.015439074621313217
253
+ ]
254
+ ],
255
+ "5": [
256
+ [
257
+ "summarization",
258
+ 0.04463466634066914
259
+ ],
260
+ [
261
+ "event",
262
+ 0.04103003595285452
263
+ ],
264
+ [
265
+ "generation",
266
+ 0.03031506455924498
267
+ ],
268
+ [
269
+ "events",
270
+ 0.02550365905000357
271
+ ],
272
+ [
273
+ "text",
274
+ 0.02506509404114226
275
+ ],
276
+ [
277
+ "summaries",
278
+ 0.02378208035356918
279
+ ],
280
+ [
281
+ "evaluation",
282
+ 0.019212297566739294
283
+ ],
284
+ [
285
+ "language",
286
+ 0.019125426968921885
287
+ ],
288
+ [
289
+ "models",
290
+ 0.017618393215262627
291
+ ],
292
+ [
293
+ "human",
294
+ 0.01735748851184384
295
+ ]
296
+ ],
297
+ "6": [
298
+ [
299
+ "dialogue",
300
+ 0.06089244707585951
301
+ ],
302
+ [
303
+ "dialog",
304
+ 0.03597820614896331
305
+ ],
306
+ [
307
+ "systems",
308
+ 0.0307669938018014
309
+ ],
310
+ [
311
+ "conversational",
312
+ 0.029069372456884048
313
+ ],
314
+ [
315
+ "conversations",
316
+ 0.023652620136262067
317
+ ],
318
+ [
319
+ "dialogue systems",
320
+ 0.02100058262346145
321
+ ],
322
+ [
323
+ "responses",
324
+ 0.020454076608578883
325
+ ],
326
+ [
327
+ "models",
328
+ 0.02025266031416148
329
+ ],
330
+ [
331
+ "dialogues",
332
+ 0.019275640364323436
333
+ ],
334
+ [
335
+ "taskoriented",
336
+ 0.018200470049419794
337
+ ]
338
+ ],
339
+ "7": [
340
+ [
341
+ "text",
342
+ 0.045321788925605434
343
+ ],
344
+ [
345
+ "adversarial",
346
+ 0.0451013397350564
347
+ ],
348
+ [
349
+ "attacks",
350
+ 0.030782113308851645
351
+ ],
352
+ [
353
+ "detection",
354
+ 0.028559114807147335
355
+ ],
356
+ [
357
+ "models",
358
+ 0.023381237484127893
359
+ ],
360
+ [
361
+ "detectors",
362
+ 0.020983453744490618
363
+ ],
364
+ [
365
+ "aigenerated",
366
+ 0.017890606354019022
367
+ ],
368
+ [
369
+ "texts",
370
+ 0.017672649444691407
371
+ ],
372
+ [
373
+ "attack",
374
+ 0.01672728437149775
375
+ ],
376
+ [
377
+ "language",
378
+ 0.01668134474716543
379
+ ]
380
+ ],
381
+ "8": [
382
+ [
383
+ "bias",
384
+ 0.06150877587869747
385
+ ],
386
+ [
387
+ "biases",
388
+ 0.03463486759500172
389
+ ],
390
+ [
391
+ "social",
392
+ 0.033278171137863584
393
+ ],
394
+ [
395
+ "gender",
396
+ 0.028802419528210506
397
+ ],
398
+ [
399
+ "models",
400
+ 0.027125170267870653
401
+ ],
402
+ [
403
+ "language",
404
+ 0.02650527241268684
405
+ ],
406
+ [
407
+ "content",
408
+ 0.024780247012797206
409
+ ],
410
+ [
411
+ "language models",
412
+ 0.021717153995574487
413
+ ],
414
+ [
415
+ "online",
416
+ 0.018332418876652667
417
+ ],
418
+ [
419
+ "toxicity",
420
+ 0.017607821807315432
421
+ ]
422
+ ],
423
+ "9": [
424
+ [
425
+ "ai",
426
+ 0.07179719487118659
427
+ ],
428
+ [
429
+ "chatgpt",
430
+ 0.031035418927245643
431
+ ],
432
+ [
433
+ "ethical",
434
+ 0.020400710028308476
435
+ ],
436
+ [
437
+ "artificial intelligence",
438
+ 0.020117232695143986
439
+ ],
440
+ [
441
+ "intelligence",
442
+ 0.019943051853814658
443
+ ],
444
+ [
445
+ "use",
446
+ 0.01977415892036898
447
+ ],
448
+ [
449
+ "artificial",
450
+ 0.019392905070324748
451
+ ],
452
+ [
453
+ "generative",
454
+ 0.019067922761475866
455
+ ],
456
+ [
457
+ "social",
458
+ 0.017485097835642584
459
+ ],
460
+ [
461
+ "concerns",
462
+ 0.016979441190608267
463
+ ]
464
+ ],
465
+ "10": [
466
+ [
467
+ "education",
468
+ 0.04223278545779533
469
+ ],
470
+ [
471
+ "students",
472
+ 0.026923636191638636
473
+ ],
474
+ [
475
+ "programming",
476
+ 0.026912279996616887
477
+ ],
478
+ [
479
+ "educational",
480
+ 0.026147734336790903
481
+ ],
482
+ [
483
+ "questions",
484
+ 0.026117656027513248
485
+ ],
486
+ [
487
+ "chatgpt",
488
+ 0.025382056873597927
489
+ ],
490
+ [
491
+ "student",
492
+ 0.02535846851453436
493
+ ],
494
+ [
495
+ "assessments",
496
+ 0.024244594833435103
497
+ ],
498
+ [
499
+ "exam",
500
+ 0.023846352412897714
501
+ ],
502
+ [
503
+ "course",
504
+ 0.02254614359792551
505
+ ]
506
+ ],
507
+ "11": [
508
+ [
509
+ "privacy",
510
+ 0.07774691933665064
511
+ ],
512
+ [
513
+ "private",
514
+ 0.06437790534803121
515
+ ],
516
+ [
517
+ "federated",
518
+ 0.04079568951095784
519
+ ],
520
+ [
521
+ "attacks",
522
+ 0.029613296626096908
523
+ ],
524
+ [
525
+ "models",
526
+ 0.028967925641988922
527
+ ],
528
+ [
529
+ "pii",
530
+ 0.027945589517164058
531
+ ],
532
+ [
533
+ "differentially",
534
+ 0.026822035429275092
535
+ ],
536
+ [
537
+ "data",
538
+ 0.02651018514444028
539
+ ],
540
+ [
541
+ "privacypreserving",
542
+ 0.024867562054613622
543
+ ],
544
+ [
545
+ "language",
546
+ 0.022676897706425742
547
+ ]
548
+ ],
549
+ "12": [
550
+ [
551
+ "speech",
552
+ 0.10050473981996193
553
+ ],
554
+ [
555
+ "audio",
556
+ 0.06591588897799411
557
+ ],
558
+ [
559
+ "asr",
560
+ 0.05776730937764383
561
+ ],
562
+ [
563
+ "speech recognition",
564
+ 0.03981003097315224
565
+ ],
566
+ [
567
+ "recognition",
568
+ 0.03740298847730898
569
+ ],
570
+ [
571
+ "speaker",
572
+ 0.037220870721205786
573
+ ],
574
+ [
575
+ "spoken",
576
+ 0.030652923449979396
577
+ ],
578
+ [
579
+ "model",
580
+ 0.025861917897484234
581
+ ],
582
+ [
583
+ "error",
584
+ 0.024935325651539324
585
+ ],
586
+ [
587
+ "automatic speech",
588
+ 0.024736505021172816
589
+ ]
590
+ ],
591
+ "13": [
592
+ [
593
+ "materials",
594
+ 0.07014437417930033
595
+ ],
596
+ [
597
+ "chemistry",
598
+ 0.03453309097179555
599
+ ],
600
+ [
601
+ "chemical",
602
+ 0.033179570117528
603
+ ],
604
+ [
605
+ "molecular",
606
+ 0.020033426843505276
607
+ ],
608
+ [
609
+ "model",
610
+ 0.020002043323354552
611
+ ],
612
+ [
613
+ "models",
614
+ 0.018931671613857035
615
+ ],
616
+ [
617
+ "synthesis",
618
+ 0.018468571337889532
619
+ ],
620
+ [
621
+ "properties",
622
+ 0.018238218215857603
623
+ ],
624
+ [
625
+ "learning",
626
+ 0.01735271823562577
627
+ ],
628
+ [
629
+ "language",
630
+ 0.017297786522995746
631
+ ]
632
+ ],
633
+ "14": [
634
+ [
635
+ "recommendation",
636
+ 0.11274389068047955
637
+ ],
638
+ [
639
+ "user",
640
+ 0.04807986982371052
641
+ ],
642
+ [
643
+ "item",
644
+ 0.03913383666004485
645
+ ],
646
+ [
647
+ "reviews",
648
+ 0.029350666110090316
649
+ ],
650
+ [
651
+ "news",
652
+ 0.02928244550634868
653
+ ],
654
+ [
655
+ "personalized",
656
+ 0.028081085462225323
657
+ ],
658
+ [
659
+ "recommendations",
660
+ 0.027288696393097875
661
+ ],
662
+ [
663
+ "recommender",
664
+ 0.026265741702695158
665
+ ],
666
+ [
667
+ "interests",
668
+ 0.025748400299566678
669
+ ],
670
+ [
671
+ "indexing",
672
+ 0.02520874362719786
673
+ ]
674
+ ],
675
+ "15": [
676
+ [
677
+ "financial",
678
+ 0.09743681065174777
679
+ ],
680
+ [
681
+ "sentiment",
682
+ 0.0391096768787163
683
+ ],
684
+ [
685
+ "stock",
686
+ 0.034107194520419735
687
+ ],
688
+ [
689
+ "data",
690
+ 0.03324355670854176
691
+ ],
692
+ [
693
+ "market",
694
+ 0.030030898554573335
695
+ ],
696
+ [
697
+ "sentiment analysis",
698
+ 0.029702211297280706
699
+ ],
700
+ [
701
+ "finance",
702
+ 0.02816268892115391
703
+ ],
704
+ [
705
+ "expectations",
706
+ 0.025018551686463324
707
+ ],
708
+ [
709
+ "social media",
710
+ 0.02283496030447737
711
+ ],
712
+ [
713
+ "chatgpt",
714
+ 0.022638350944591937
715
+ ]
716
+ ],
717
+ "16": [
718
+ [
719
+ "game",
720
+ 0.11865030538282041
721
+ ],
722
+ [
723
+ "games",
724
+ 0.062194153563308326
725
+ ],
726
+ [
727
+ "state",
728
+ 0.03128335229564471
729
+ ],
730
+ [
731
+ "generate",
732
+ 0.029964203910469618
733
+ ],
734
+ [
735
+ "state information",
736
+ 0.028387256425934055
737
+ ],
738
+ [
739
+ "language",
740
+ 0.02619798312596649
741
+ ],
742
+ [
743
+ "strategies",
744
+ 0.025503893678639703
745
+ ],
746
+ [
747
+ "chess",
748
+ 0.02476548547865156
749
+ ],
750
+ [
751
+ "strategic",
752
+ 0.02422782448541941
753
+ ],
754
+ [
755
+ "levels",
756
+ 0.023191313600120337
757
+ ]
758
+ ],
759
+ "17": [
760
+ [
761
+ "legal",
762
+ 0.17205155854875812
763
+ ],
764
+ [
765
+ "law",
766
+ 0.02867700085654158
767
+ ],
768
+ [
769
+ "argumentative",
770
+ 0.02819541990639962
771
+ ],
772
+ [
773
+ "court",
774
+ 0.025184977454521355
775
+ ],
776
+ [
777
+ "standards",
778
+ 0.024670992418099665
779
+ ],
780
+ [
781
+ "legal reasoning",
782
+ 0.02308221995100163
783
+ ],
784
+ [
785
+ "gpt4",
786
+ 0.02202921183247471
787
+ ],
788
+ [
789
+ "relevant",
790
+ 0.021501095220146243
791
+ ],
792
+ [
793
+ "ai",
794
+ 0.021422334903565998
795
+ ],
796
+ [
797
+ "language",
798
+ 0.02096923504925563
799
+ ]
800
+ ],
801
+ "18": [
802
+ [
803
+ "metadata",
804
+ 0.047144538817116215
805
+ ],
806
+ [
807
+ "language",
808
+ 0.029342461291433596
809
+ ],
810
+ [
811
+ "keyphrase",
812
+ 0.02689903003273484
813
+ ],
814
+ [
815
+ "large",
816
+ 0.025946130587409202
817
+ ],
818
+ [
819
+ "user intents",
820
+ 0.0251543428242259
821
+ ],
822
+ [
823
+ "log",
824
+ 0.024651742390499654
825
+ ],
826
+ [
827
+ "data",
828
+ 0.02456711742529687
829
+ ],
830
+ [
831
+ "log data",
832
+ 0.02422438672089272
833
+ ],
834
+ [
835
+ "language models",
836
+ 0.023927326209216608
837
+ ],
838
+ [
839
+ "using",
840
+ 0.023710845352326777
841
+ ]
842
+ ]
843
+ },
844
+ "topics": [
845
+ -1,
846
+ 2,
847
+ 12,
848
+ 0,
849
+ 0,
850
+ 0,
851
+ 7,
852
+ 7,
853
+ 9,
854
+ -1,
855
+ -1,
856
+ 5,
857
+ -1,
858
+ 0,
859
+ 0,
860
+ -1,
861
+ 12,
862
+ 8,
863
+ -1,
864
+ 2,
865
+ 2,
866
+ 0,
867
+ 1,
868
+ -1,
869
+ 18,
870
+ -1,
871
+ -1,
872
+ 6,
873
+ 2,
874
+ 6,
875
+ 0,
876
+ -1,
877
+ 8,
878
+ 4,
879
+ -1,
880
+ -1,
881
+ 6,
882
+ 0,
883
+ 2,
884
+ 5,
885
+ -1,
886
+ 2,
887
+ -1,
888
+ -1,
889
+ 0,
890
+ 2,
891
+ -1,
892
+ 16,
893
+ 0,
894
+ 5,
895
+ 6,
896
+ 1,
897
+ 7,
898
+ 5,
899
+ -1,
900
+ -1,
901
+ 6,
902
+ 0,
903
+ 2,
904
+ 2,
905
+ -1,
906
+ -1,
907
+ 4,
908
+ 2,
909
+ 2,
910
+ 0,
911
+ 5,
912
+ 5,
913
+ 0,
914
+ -1,
915
+ 5,
916
+ 2,
917
+ 3,
918
+ -1,
919
+ 6,
920
+ 2,
921
+ 7,
922
+ -1,
923
+ -1,
924
+ 15,
925
+ 0,
926
+ 6,
927
+ 4,
928
+ 8,
929
+ 5,
930
+ -1,
931
+ 0,
932
+ 5,
933
+ 0,
934
+ -1,
935
+ -1,
936
+ -1,
937
+ -1,
938
+ 2,
939
+ 0,
940
+ 8,
941
+ -1,
942
+ 3,
943
+ 9,
944
+ 0,
945
+ -1,
946
+ -1,
947
+ 0,
948
+ 0,
949
+ 1,
950
+ 5,
951
+ 0,
952
+ 0,
953
+ 0,
954
+ 7,
955
+ 1,
956
+ 11,
957
+ 4,
958
+ 0,
959
+ 18,
960
+ -1,
961
+ 11,
962
+ 0,
963
+ 0,
964
+ -1,
965
+ 0,
966
+ 5,
967
+ 4,
968
+ -1,
969
+ -1,
970
+ 8,
971
+ 6,
972
+ -1,
973
+ -1,
974
+ 1,
975
+ 4,
976
+ 0,
977
+ 2,
978
+ 7,
979
+ 0,
980
+ 0,
981
+ 6,
982
+ -1,
983
+ 6,
984
+ -1,
985
+ 0,
986
+ 8,
987
+ -1,
988
+ -1,
989
+ 1,
990
+ -1,
991
+ 0,
992
+ 6,
993
+ 0,
994
+ -1,
995
+ 7,
996
+ 3,
997
+ 0,
998
+ -1,
999
+ 6,
1000
+ -1,
1001
+ 6,
1002
+ 0,
1003
+ 16,
1004
+ 12,
1005
+ -1,
1006
+ -1,
1007
+ 0,
1008
+ -1,
1009
+ -1,
1010
+ 4,
1011
+ -1,
1012
+ -1,
1013
+ 0,
1014
+ 5,
1015
+ 2,
1016
+ 7,
1017
+ -1,
1018
+ 4,
1019
+ 2,
1020
+ -1,
1021
+ -1,
1022
+ -1,
1023
+ 4,
1024
+ 11,
1025
+ 6,
1026
+ -1,
1027
+ -1,
1028
+ -1,
1029
+ 0,
1030
+ -1,
1031
+ 0,
1032
+ -1,
1033
+ -1,
1034
+ 0,
1035
+ 6,
1036
+ 0,
1037
+ -1,
1038
+ 0,
1039
+ 0,
1040
+ 0,
1041
+ 0,
1042
+ 1,
1043
+ 3,
1044
+ 2,
1045
+ 7,
1046
+ 1,
1047
+ 1,
1048
+ 15,
1049
+ -1,
1050
+ 0,
1051
+ 5,
1052
+ 0,
1053
+ 0,
1054
+ 0,
1055
+ 0,
1056
+ -1,
1057
+ 11,
1058
+ 5,
1059
+ 7,
1060
+ -1,
1061
+ -1,
1062
+ -1,
1063
+ -1,
1064
+ -1,
1065
+ 8,
1066
+ 0,
1067
+ 18,
1068
+ 0,
1069
+ 1,
1070
+ 2,
1071
+ 0,
1072
+ -1,
1073
+ 1,
1074
+ 0,
1075
+ -1,
1076
+ -1,
1077
+ 0,
1078
+ 4,
1079
+ 0,
1080
+ 0,
1081
+ -1,
1082
+ 0,
1083
+ -1,
1084
+ 1,
1085
+ 0,
1086
+ 5,
1087
+ 0,
1088
+ 0,
1089
+ 10,
1090
+ 8,
1091
+ 4,
1092
+ 13,
1093
+ 1,
1094
+ 0,
1095
+ -1,
1096
+ 4,
1097
+ 0,
1098
+ 0,
1099
+ -1,
1100
+ 1,
1101
+ -1,
1102
+ 8,
1103
+ 0,
1104
+ -1,
1105
+ 8,
1106
+ 6,
1107
+ 4,
1108
+ 2,
1109
+ 0,
1110
+ 12,
1111
+ 0,
1112
+ 2,
1113
+ 0,
1114
+ -1,
1115
+ -1,
1116
+ -1,
1117
+ 5,
1118
+ 0,
1119
+ -1,
1120
+ -1,
1121
+ 0,
1122
+ 1,
1123
+ 6,
1124
+ 0,
1125
+ -1,
1126
+ -1,
1127
+ 0,
1128
+ -1,
1129
+ 0,
1130
+ 0,
1131
+ 11,
1132
+ -1,
1133
+ 0,
1134
+ -1,
1135
+ 13,
1136
+ -1,
1137
+ 0,
1138
+ -1,
1139
+ 7,
1140
+ -1,
1141
+ 0,
1142
+ 5,
1143
+ 0,
1144
+ 0,
1145
+ 0,
1146
+ 0,
1147
+ -1,
1148
+ -1,
1149
+ 0,
1150
+ -1,
1151
+ 0,
1152
+ 2,
1153
+ 0,
1154
+ 0,
1155
+ -1,
1156
+ -1,
1157
+ 0,
1158
+ 3,
1159
+ -1,
1160
+ 0,
1161
+ -1,
1162
+ -1,
1163
+ 11,
1164
+ 0,
1165
+ 2,
1166
+ 8,
1167
+ 0,
1168
+ 5,
1169
+ 0,
1170
+ -1,
1171
+ 0,
1172
+ 11,
1173
+ 4,
1174
+ 2,
1175
+ -1,
1176
+ 2,
1177
+ 0,
1178
+ 0,
1179
+ 4,
1180
+ 3,
1181
+ 0,
1182
+ 5,
1183
+ 6,
1184
+ 8,
1185
+ 2,
1186
+ 8,
1187
+ 13,
1188
+ -1,
1189
+ 0,
1190
+ 0,
1191
+ 2,
1192
+ -1,
1193
+ 3,
1194
+ -1,
1195
+ 0,
1196
+ 0,
1197
+ 1,
1198
+ 2,
1199
+ 0,
1200
+ 1,
1201
+ -1,
1202
+ 0,
1203
+ 16,
1204
+ 8,
1205
+ 1,
1206
+ 1,
1207
+ -1,
1208
+ -1,
1209
+ 0,
1210
+ 1,
1211
+ -1,
1212
+ 6,
1213
+ -1,
1214
+ 0,
1215
+ 4,
1216
+ 0,
1217
+ 12,
1218
+ -1,
1219
+ 8,
1220
+ 1,
1221
+ 1,
1222
+ -1,
1223
+ -1,
1224
+ 0,
1225
+ -1,
1226
+ 0,
1227
+ 2,
1228
+ 1,
1229
+ -1,
1230
+ 2,
1231
+ 1,
1232
+ 0,
1233
+ 0,
1234
+ 4,
1235
+ 13,
1236
+ -1,
1237
+ 7,
1238
+ -1,
1239
+ -1,
1240
+ -1,
1241
+ -1,
1242
+ 0,
1243
+ -1,
1244
+ 0,
1245
+ 2,
1246
+ -1,
1247
+ 6,
1248
+ 0,
1249
+ 3,
1250
+ 0,
1251
+ -1,
1252
+ 11,
1253
+ -1,
1254
+ -1,
1255
+ 5,
1256
+ -1,
1257
+ 9,
1258
+ 1,
1259
+ -1,
1260
+ 0,
1261
+ -1,
1262
+ 0,
1263
+ 0,
1264
+ -1,
1265
+ 0,
1266
+ 0,
1267
+ -1,
1268
+ 0,
1269
+ -1,
1270
+ 0,
1271
+ 0,
1272
+ 0,
1273
+ 2,
1274
+ -1,
1275
+ 6,
1276
+ -1,
1277
+ -1,
1278
+ 8,
1279
+ -1,
1280
+ -1,
1281
+ 1,
1282
+ 0,
1283
+ 5,
1284
+ -1,
1285
+ 0,
1286
+ 16,
1287
+ -1,
1288
+ 0,
1289
+ -1,
1290
+ 1,
1291
+ -1,
1292
+ 18,
1293
+ -1,
1294
+ 4,
1295
+ -1,
1296
+ 9,
1297
+ -1,
1298
+ 1,
1299
+ 0,
1300
+ -1,
1301
+ 0,
1302
+ 0,
1303
+ 0,
1304
+ -1,
1305
+ 0,
1306
+ -1,
1307
+ 0,
1308
+ 12,
1309
+ -1,
1310
+ 6,
1311
+ 0,
1312
+ 0,
1313
+ 7,
1314
+ 5,
1315
+ -1,
1316
+ 0,
1317
+ 0,
1318
+ 0,
1319
+ 1,
1320
+ 4,
1321
+ -1,
1322
+ -1,
1323
+ 0,
1324
+ 1,
1325
+ -1,
1326
+ 0,
1327
+ -1,
1328
+ 0,
1329
+ 1,
1330
+ 1,
1331
+ 0,
1332
+ 4,
1333
+ -1,
1334
+ 6,
1335
+ -1,
1336
+ 8,
1337
+ 0,
1338
+ 12,
1339
+ 5,
1340
+ 0,
1341
+ 0,
1342
+ 0,
1343
+ 8,
1344
+ 0,
1345
+ -1,
1346
+ 0,
1347
+ -1,
1348
+ 0,
1349
+ 0,
1350
+ -1,
1351
+ 5,
1352
+ 0,
1353
+ 4,
1354
+ 0,
1355
+ 9,
1356
+ -1,
1357
+ 17,
1358
+ 0,
1359
+ -1,
1360
+ -1,
1361
+ -1,
1362
+ 0,
1363
+ 0,
1364
+ 0,
1365
+ 1,
1366
+ 13,
1367
+ 8,
1368
+ -1,
1369
+ -1,
1370
+ -1,
1371
+ 0,
1372
+ 5,
1373
+ -1,
1374
+ 1,
1375
+ 0,
1376
+ 0,
1377
+ 2,
1378
+ 5,
1379
+ -1,
1380
+ -1,
1381
+ -1,
1382
+ 0,
1383
+ -1,
1384
+ -1,
1385
+ -1,
1386
+ -1,
1387
+ 4,
1388
+ -1,
1389
+ -1,
1390
+ 0,
1391
+ -1,
1392
+ 1,
1393
+ -1,
1394
+ 0,
1395
+ 0,
1396
+ 0,
1397
+ 6,
1398
+ 5,
1399
+ -1,
1400
+ 0,
1401
+ 0,
1402
+ -1,
1403
+ -1,
1404
+ 5,
1405
+ 0,
1406
+ 8,
1407
+ 0,
1408
+ 0,
1409
+ 1,
1410
+ 4,
1411
+ 15,
1412
+ -1,
1413
+ 0,
1414
+ 4,
1415
+ -1,
1416
+ 7,
1417
+ 9,
1418
+ 0,
1419
+ 10,
1420
+ -1,
1421
+ -1,
1422
+ 17,
1423
+ -1,
1424
+ 8,
1425
+ 5,
1426
+ -1,
1427
+ 3,
1428
+ -1,
1429
+ 0,
1430
+ -1,
1431
+ 10,
1432
+ -1,
1433
+ 0,
1434
+ -1,
1435
+ -1,
1436
+ -1,
1437
+ -1,
1438
+ -1,
1439
+ 0,
1440
+ -1,
1441
+ 3,
1442
+ -1,
1443
+ -1,
1444
+ 17,
1445
+ -1,
1446
+ -1,
1447
+ 5,
1448
+ -1,
1449
+ 6,
1450
+ 3,
1451
+ 3,
1452
+ 6,
1453
+ 0,
1454
+ -1,
1455
+ -1,
1456
+ 3,
1457
+ 4,
1458
+ 0,
1459
+ 0,
1460
+ 1,
1461
+ 6,
1462
+ 0,
1463
+ -1,
1464
+ 1,
1465
+ 5,
1466
+ 0,
1467
+ 11,
1468
+ -1,
1469
+ 4,
1470
+ 0,
1471
+ 1,
1472
+ 4,
1473
+ -1,
1474
+ -1,
1475
+ -1,
1476
+ 0,
1477
+ 9,
1478
+ 8,
1479
+ -1,
1480
+ 2,
1481
+ -1,
1482
+ -1,
1483
+ 0,
1484
+ 6,
1485
+ -1,
1486
+ -1,
1487
+ 0,
1488
+ -1,
1489
+ 5,
1490
+ -1,
1491
+ 0,
1492
+ -1,
1493
+ 13,
1494
+ -1,
1495
+ 2,
1496
+ 8,
1497
+ 16,
1498
+ 1,
1499
+ 2,
1500
+ 2,
1501
+ 0,
1502
+ 10,
1503
+ -1,
1504
+ 9,
1505
+ 0,
1506
+ 8,
1507
+ 8,
1508
+ 1,
1509
+ -1,
1510
+ 1,
1511
+ 6,
1512
+ 0,
1513
+ 5,
1514
+ 3,
1515
+ -1,
1516
+ 5,
1517
+ 14,
1518
+ 11,
1519
+ -1,
1520
+ -1,
1521
+ -1,
1522
+ 7,
1523
+ -1,
1524
+ 0,
1525
+ 6,
1526
+ 0,
1527
+ 1,
1528
+ 0,
1529
+ 0,
1530
+ 1,
1531
+ 4,
1532
+ 12,
1533
+ 3,
1534
+ 6,
1535
+ 2,
1536
+ -1,
1537
+ 0,
1538
+ -1,
1539
+ 2,
1540
+ 9,
1541
+ -1,
1542
+ 2,
1543
+ 10,
1544
+ 9,
1545
+ 3,
1546
+ 3,
1547
+ -1,
1548
+ -1,
1549
+ -1,
1550
+ 4,
1551
+ 0,
1552
+ -1,
1553
+ -1,
1554
+ 7,
1555
+ -1,
1556
+ 0,
1557
+ 11,
1558
+ 8,
1559
+ 2,
1560
+ -1,
1561
+ 17,
1562
+ 0,
1563
+ 0,
1564
+ -1,
1565
+ -1,
1566
+ 9,
1567
+ 14,
1568
+ 0,
1569
+ 7,
1570
+ 6,
1571
+ 8,
1572
+ 9,
1573
+ 2,
1574
+ 1,
1575
+ 10,
1576
+ -1,
1577
+ 0,
1578
+ 0,
1579
+ 3,
1580
+ -1,
1581
+ 0,
1582
+ -1,
1583
+ 0,
1584
+ 6,
1585
+ 6,
1586
+ 0,
1587
+ 3,
1588
+ 1,
1589
+ 10,
1590
+ 10,
1591
+ 8,
1592
+ 0,
1593
+ 1,
1594
+ 0,
1595
+ 1,
1596
+ -1,
1597
+ -1,
1598
+ 0,
1599
+ 1,
1600
+ -1,
1601
+ 6,
1602
+ -1,
1603
+ -1,
1604
+ -1,
1605
+ 9,
1606
+ 2,
1607
+ 0,
1608
+ -1,
1609
+ 3,
1610
+ 3,
1611
+ 7,
1612
+ 9,
1613
+ 10,
1614
+ 0,
1615
+ 6,
1616
+ -1,
1617
+ 0,
1618
+ -1,
1619
+ 1,
1620
+ 18,
1621
+ 0,
1622
+ -1,
1623
+ 16,
1624
+ 0,
1625
+ 0,
1626
+ 7,
1627
+ 6,
1628
+ -1,
1629
+ -1,
1630
+ -1,
1631
+ 3,
1632
+ -1,
1633
+ -1,
1634
+ 0,
1635
+ 5,
1636
+ 3,
1637
+ 6,
1638
+ 10,
1639
+ 2,
1640
+ -1,
1641
+ 15,
1642
+ 6,
1643
+ -1,
1644
+ -1,
1645
+ 3,
1646
+ 3,
1647
+ 3,
1648
+ 10,
1649
+ 3,
1650
+ 3,
1651
+ -1,
1652
+ -1,
1653
+ 1,
1654
+ 1,
1655
+ 3,
1656
+ 7,
1657
+ 1,
1658
+ 5,
1659
+ 0,
1660
+ 4,
1661
+ 3,
1662
+ -1,
1663
+ 1,
1664
+ -1,
1665
+ 0,
1666
+ 0,
1667
+ -1,
1668
+ 3,
1669
+ -1,
1670
+ -1,
1671
+ 7,
1672
+ 9,
1673
+ 16,
1674
+ -1,
1675
+ 0,
1676
+ -1,
1677
+ -1,
1678
+ -1,
1679
+ -1,
1680
+ 9,
1681
+ 10,
1682
+ 14,
1683
+ -1,
1684
+ 1,
1685
+ 5,
1686
+ 1,
1687
+ -1,
1688
+ 7,
1689
+ -1,
1690
+ -1,
1691
+ -1,
1692
+ 0,
1693
+ 3,
1694
+ -1,
1695
+ 13,
1696
+ -1,
1697
+ 0,
1698
+ 0,
1699
+ 0,
1700
+ 3,
1701
+ 10,
1702
+ -1,
1703
+ 3,
1704
+ 0,
1705
+ 0,
1706
+ -1,
1707
+ 0,
1708
+ 1,
1709
+ 5,
1710
+ 15,
1711
+ 14,
1712
+ -1,
1713
+ 0,
1714
+ -1,
1715
+ -1,
1716
+ 0,
1717
+ -1,
1718
+ -1,
1719
+ 1,
1720
+ 6,
1721
+ -1,
1722
+ 1,
1723
+ 1,
1724
+ 0,
1725
+ -1,
1726
+ 9,
1727
+ 4,
1728
+ -1,
1729
+ 0,
1730
+ -1,
1731
+ 0,
1732
+ 8,
1733
+ 9,
1734
+ 3,
1735
+ -1,
1736
+ -1,
1737
+ -1,
1738
+ 10,
1739
+ 2,
1740
+ 0,
1741
+ 2,
1742
+ -1,
1743
+ 0,
1744
+ 6,
1745
+ 10,
1746
+ -1,
1747
+ -1,
1748
+ 0,
1749
+ 10,
1750
+ -1,
1751
+ 1,
1752
+ -1,
1753
+ -1,
1754
+ 0,
1755
+ 1,
1756
+ -1,
1757
+ 2,
1758
+ 3,
1759
+ 9,
1760
+ 4,
1761
+ 6,
1762
+ 13,
1763
+ 1,
1764
+ 6,
1765
+ 10,
1766
+ 9,
1767
+ -1,
1768
+ -1,
1769
+ 2,
1770
+ 4,
1771
+ 7,
1772
+ 0,
1773
+ 9,
1774
+ 0,
1775
+ -1,
1776
+ 4,
1777
+ -1,
1778
+ 0,
1779
+ 4,
1780
+ 0,
1781
+ 7,
1782
+ -1,
1783
+ 3,
1784
+ 0,
1785
+ 16,
1786
+ 0,
1787
+ 11,
1788
+ 0,
1789
+ 0,
1790
+ 1,
1791
+ -1,
1792
+ 9,
1793
+ 0,
1794
+ -1,
1795
+ 0,
1796
+ -1,
1797
+ -1,
1798
+ -1,
1799
+ -1,
1800
+ -1,
1801
+ -1,
1802
+ 15,
1803
+ -1,
1804
+ -1,
1805
+ -1,
1806
+ -1,
1807
+ 0,
1808
+ 3,
1809
+ -1,
1810
+ 3,
1811
+ -1,
1812
+ 9,
1813
+ -1,
1814
+ 0,
1815
+ 0,
1816
+ 1,
1817
+ 0,
1818
+ 6,
1819
+ 0,
1820
+ 17,
1821
+ 14,
1822
+ -1,
1823
+ -1,
1824
+ -1,
1825
+ -1,
1826
+ 4,
1827
+ -1,
1828
+ -1,
1829
+ 10,
1830
+ 3,
1831
+ 11,
1832
+ 2,
1833
+ 7,
1834
+ 11,
1835
+ -1,
1836
+ 1,
1837
+ 0,
1838
+ -1,
1839
+ -1,
1840
+ 2,
1841
+ -1,
1842
+ -1,
1843
+ 1,
1844
+ 14,
1845
+ 14,
1846
+ 0,
1847
+ 0,
1848
+ 0,
1849
+ -1,
1850
+ 17,
1851
+ 0,
1852
+ 14,
1853
+ 3,
1854
+ 2,
1855
+ 0,
1856
+ -1,
1857
+ 7,
1858
+ 0,
1859
+ 1,
1860
+ 0,
1861
+ 0,
1862
+ 0,
1863
+ 2,
1864
+ 0,
1865
+ -1,
1866
+ 9,
1867
+ 0,
1868
+ 3,
1869
+ 0,
1870
+ 0,
1871
+ -1,
1872
+ -1,
1873
+ -1,
1874
+ 7,
1875
+ 0,
1876
+ 0,
1877
+ -1,
1878
+ 3,
1879
+ 17,
1880
+ 8,
1881
+ 1,
1882
+ -1,
1883
+ -1,
1884
+ 13,
1885
+ 2,
1886
+ 0,
1887
+ -1,
1888
+ 4,
1889
+ 0,
1890
+ -1,
1891
+ 4,
1892
+ -1,
1893
+ 1,
1894
+ 9,
1895
+ 0,
1896
+ -1,
1897
+ -1,
1898
+ -1,
1899
+ -1,
1900
+ -1,
1901
+ 2,
1902
+ -1,
1903
+ 3,
1904
+ 11,
1905
+ 0,
1906
+ -1,
1907
+ -1,
1908
+ 10,
1909
+ 11,
1910
+ -1,
1911
+ 4,
1912
+ 10,
1913
+ -1,
1914
+ -1,
1915
+ 1,
1916
+ 3,
1917
+ -1,
1918
+ -1,
1919
+ -1,
1920
+ 5,
1921
+ 0,
1922
+ 6,
1923
+ 0,
1924
+ 0,
1925
+ -1,
1926
+ -1,
1927
+ 0,
1928
+ 7,
1929
+ 11,
1930
+ 0,
1931
+ 0,
1932
+ 3,
1933
+ -1,
1934
+ 6,
1935
+ -1,
1936
+ 5,
1937
+ 9,
1938
+ 1,
1939
+ -1,
1940
+ 0,
1941
+ 0,
1942
+ 3,
1943
+ 0,
1944
+ 5,
1945
+ 0,
1946
+ 0,
1947
+ 4,
1948
+ -1,
1949
+ -1,
1950
+ 0,
1951
+ -1,
1952
+ -1,
1953
+ 0,
1954
+ 0,
1955
+ 0,
1956
+ 0,
1957
+ 0,
1958
+ 0,
1959
+ 0,
1960
+ 1,
1961
+ 0,
1962
+ 4,
1963
+ 0,
1964
+ 0,
1965
+ -1,
1966
+ -1,
1967
+ 0,
1968
+ -1,
1969
+ -1,
1970
+ 3,
1971
+ 0,
1972
+ 0,
1973
+ 8,
1974
+ 0,
1975
+ 0,
1976
+ 0,
1977
+ 0,
1978
+ -1,
1979
+ 1,
1980
+ 0,
1981
+ 0,
1982
+ 0,
1983
+ 0,
1984
+ 6,
1985
+ 8,
1986
+ -1,
1987
+ 5,
1988
+ -1,
1989
+ 0,
1990
+ 0,
1991
+ 4,
1992
+ 0,
1993
+ 1,
1994
+ -1,
1995
+ -1,
1996
+ -1,
1997
+ 0,
1998
+ 4,
1999
+ -1,
2000
+ -1,
2001
+ -1,
2002
+ 0,
2003
+ -1,
2004
+ 4,
2005
+ -1,
2006
+ 6,
2007
+ -1,
2008
+ 9,
2009
+ 4,
2010
+ -1,
2011
+ 0,
2012
+ 0,
2013
+ -1,
2014
+ 5,
2015
+ 5,
2016
+ 0,
2017
+ 0,
2018
+ -1,
2019
+ -1,
2020
+ 1,
2021
+ -1,
2022
+ 16,
2023
+ 0,
2024
+ 0,
2025
+ -1,
2026
+ 2,
2027
+ 4,
2028
+ -1,
2029
+ -1,
2030
+ -1,
2031
+ 7,
2032
+ 4,
2033
+ 0,
2034
+ -1,
2035
+ 7,
2036
+ 5,
2037
+ 2,
2038
+ -1,
2039
+ 0,
2040
+ -1,
2041
+ 5,
2042
+ -1,
2043
+ 0,
2044
+ 0,
2045
+ -1,
2046
+ 0,
2047
+ 0,
2048
+ -1,
2049
+ -1,
2050
+ 14,
2051
+ 3,
2052
+ 2,
2053
+ 0,
2054
+ -1,
2055
+ -1,
2056
+ 4,
2057
+ 0,
2058
+ 2,
2059
+ 6,
2060
+ 3,
2061
+ 0,
2062
+ -1,
2063
+ 1,
2064
+ 15,
2065
+ -1,
2066
+ 0,
2067
+ 2,
2068
+ 0,
2069
+ 2,
2070
+ -1,
2071
+ 5,
2072
+ 4,
2073
+ 2,
2074
+ 3,
2075
+ 1,
2076
+ 1,
2077
+ 8,
2078
+ 0,
2079
+ 0,
2080
+ 0,
2081
+ 3,
2082
+ 7,
2083
+ 2,
2084
+ 8,
2085
+ 0,
2086
+ 10,
2087
+ 8,
2088
+ 16,
2089
+ 4,
2090
+ 4,
2091
+ -1,
2092
+ 0,
2093
+ 1,
2094
+ -1,
2095
+ 13,
2096
+ 4,
2097
+ 9,
2098
+ -1,
2099
+ 4,
2100
+ 1,
2101
+ 9,
2102
+ 4,
2103
+ 0,
2104
+ 0,
2105
+ 0,
2106
+ 4,
2107
+ 0,
2108
+ 16,
2109
+ 4,
2110
+ -1,
2111
+ -1,
2112
+ -1,
2113
+ -1,
2114
+ 0,
2115
+ 7,
2116
+ 1,
2117
+ 6,
2118
+ 0,
2119
+ -1,
2120
+ -1,
2121
+ 7,
2122
+ 9,
2123
+ 0,
2124
+ 0,
2125
+ -1,
2126
+ -1,
2127
+ -1,
2128
+ -1,
2129
+ 0,
2130
+ 0,
2131
+ 0,
2132
+ 10,
2133
+ -1,
2134
+ -1,
2135
+ 2,
2136
+ 0,
2137
+ 14,
2138
+ -1,
2139
+ 0,
2140
+ -1,
2141
+ -1,
2142
+ 10,
2143
+ 0,
2144
+ -1,
2145
+ -1,
2146
+ 2,
2147
+ 2,
2148
+ -1,
2149
+ 1,
2150
+ -1,
2151
+ -1,
2152
+ 0,
2153
+ 10,
2154
+ 0,
2155
+ -1,
2156
+ 1,
2157
+ -1,
2158
+ -1,
2159
+ 1,
2160
+ -1,
2161
+ 0,
2162
+ -1,
2163
+ 0,
2164
+ 1,
2165
+ 4,
2166
+ -1,
2167
+ -1,
2168
+ 1,
2169
+ 4,
2170
+ 15,
2171
+ 0,
2172
+ 9,
2173
+ 0,
2174
+ 0,
2175
+ 0,
2176
+ 3,
2177
+ 0,
2178
+ 0,
2179
+ 3,
2180
+ -1,
2181
+ 8,
2182
+ -1,
2183
+ -1,
2184
+ -1,
2185
+ 3,
2186
+ -1,
2187
+ 3,
2188
+ 2,
2189
+ 1,
2190
+ 0,
2191
+ 0,
2192
+ -1,
2193
+ -1,
2194
+ -1,
2195
+ 2,
2196
+ -1,
2197
+ 4,
2198
+ 15,
2199
+ 4,
2200
+ 0,
2201
+ -1,
2202
+ 0,
2203
+ -1,
2204
+ 9,
2205
+ 1,
2206
+ 3,
2207
+ 1,
2208
+ 4,
2209
+ -1,
2210
+ 17,
2211
+ -1,
2212
+ 0,
2213
+ 0,
2214
+ 3,
2215
+ 0,
2216
+ 0,
2217
+ 0,
2218
+ 2,
2219
+ 2,
2220
+ -1,
2221
+ 0,
2222
+ -1,
2223
+ 17,
2224
+ 9,
2225
+ 12,
2226
+ -1,
2227
+ 1,
2228
+ 7,
2229
+ 4,
2230
+ 2,
2231
+ 17,
2232
+ 10,
2233
+ 2,
2234
+ 10,
2235
+ -1,
2236
+ 10,
2237
+ 3,
2238
+ 0,
2239
+ 0,
2240
+ 0,
2241
+ 15,
2242
+ 14,
2243
+ -1,
2244
+ 0,
2245
+ 5,
2246
+ 13,
2247
+ 5,
2248
+ -1,
2249
+ 0,
2250
+ 0,
2251
+ 2,
2252
+ -1,
2253
+ 5,
2254
+ 9,
2255
+ 0,
2256
+ 1,
2257
+ -1,
2258
+ 1,
2259
+ 3,
2260
+ 15,
2261
+ -1,
2262
+ 9,
2263
+ -1,
2264
+ 7,
2265
+ 0,
2266
+ 6,
2267
+ 0,
2268
+ -1,
2269
+ 9,
2270
+ -1,
2271
+ -1,
2272
+ -1,
2273
+ -1,
2274
+ 1,
2275
+ -1,
2276
+ 0,
2277
+ -1,
2278
+ 0,
2279
+ 1,
2280
+ -1,
2281
+ 1,
2282
+ -1,
2283
+ 8,
2284
+ 1,
2285
+ -1,
2286
+ -1,
2287
+ -1,
2288
+ 0,
2289
+ 12,
2290
+ 2,
2291
+ 3,
2292
+ -1,
2293
+ 5,
2294
+ -1,
2295
+ 10,
2296
+ -1,
2297
+ 1,
2298
+ 0,
2299
+ -1,
2300
+ 7,
2301
+ 1,
2302
+ 10,
2303
+ 13,
2304
+ 2,
2305
+ -1,
2306
+ 0,
2307
+ 8,
2308
+ 3,
2309
+ -1,
2310
+ 4,
2311
+ -1,
2312
+ 3,
2313
+ 0,
2314
+ -1,
2315
+ 14,
2316
+ -1,
2317
+ -1,
2318
+ 3,
2319
+ 0,
2320
+ -1,
2321
+ 0,
2322
+ -1,
2323
+ -1,
2324
+ 0,
2325
+ 2,
2326
+ 5,
2327
+ 9,
2328
+ -1,
2329
+ 0,
2330
+ 7,
2331
+ -1,
2332
+ 0,
2333
+ -1,
2334
+ -1,
2335
+ -1,
2336
+ 8,
2337
+ -1,
2338
+ 0,
2339
+ -1,
2340
+ -1,
2341
+ 0,
2342
+ -1,
2343
+ 1,
2344
+ -1,
2345
+ -1,
2346
+ 12,
2347
+ 4,
2348
+ 0,
2349
+ -1,
2350
+ -1,
2351
+ 1,
2352
+ 0,
2353
+ 2,
2354
+ 2,
2355
+ -1,
2356
+ 9,
2357
+ -1,
2358
+ 0,
2359
+ 17,
2360
+ 1,
2361
+ 0,
2362
+ 0,
2363
+ 9,
2364
+ 0,
2365
+ 2,
2366
+ 2,
2367
+ -1,
2368
+ 6,
2369
+ 5,
2370
+ 7,
2371
+ 3,
2372
+ 0,
2373
+ 0,
2374
+ 0,
2375
+ -1,
2376
+ -1,
2377
+ 15,
2378
+ -1,
2379
+ -1,
2380
+ 0,
2381
+ 8,
2382
+ 1,
2383
+ 0,
2384
+ 0,
2385
+ -1,
2386
+ 0,
2387
+ -1,
2388
+ 10,
2389
+ 1,
2390
+ 0,
2391
+ 0,
2392
+ 13,
2393
+ 0,
2394
+ 5,
2395
+ 0,
2396
+ -1,
2397
+ 1,
2398
+ -1,
2399
+ 3,
2400
+ -1,
2401
+ -1,
2402
+ 9,
2403
+ 3,
2404
+ 6,
2405
+ 2,
2406
+ -1,
2407
+ 3,
2408
+ -1,
2409
+ -1,
2410
+ -1,
2411
+ 4,
2412
+ 8,
2413
+ 0,
2414
+ 15,
2415
+ -1,
2416
+ 0,
2417
+ 0,
2418
+ -1,
2419
+ 2,
2420
+ 0,
2421
+ 3,
2422
+ -1,
2423
+ -1,
2424
+ 9,
2425
+ 2,
2426
+ 9,
2427
+ 8,
2428
+ 1,
2429
+ 18,
2430
+ -1,
2431
+ 0,
2432
+ -1,
2433
+ 1,
2434
+ -1,
2435
+ 0,
2436
+ -1,
2437
+ 14,
2438
+ 0,
2439
+ 0,
2440
+ -1,
2441
+ 1,
2442
+ 1,
2443
+ 0,
2444
+ 0,
2445
+ 7,
2446
+ 14,
2447
+ 14,
2448
+ 0,
2449
+ 12,
2450
+ -1,
2451
+ 9,
2452
+ 1,
2453
+ -1,
2454
+ 4,
2455
+ -1,
2456
+ 17,
2457
+ -1,
2458
+ 4,
2459
+ -1,
2460
+ 0,
2461
+ -1,
2462
+ 0,
2463
+ -1,
2464
+ 1,
2465
+ -1,
2466
+ 8,
2467
+ 0,
2468
+ 0,
2469
+ -1,
2470
+ 1,
2471
+ -1,
2472
+ -1,
2473
+ -1,
2474
+ 1,
2475
+ 16,
2476
+ 0,
2477
+ 0,
2478
+ 3,
2479
+ 7,
2480
+ 0,
2481
+ 15,
2482
+ -1,
2483
+ -1,
2484
+ 14,
2485
+ 3,
2486
+ -1,
2487
+ 2,
2488
+ -1,
2489
+ 1,
2490
+ -1,
2491
+ 1,
2492
+ 8,
2493
+ 0,
2494
+ -1,
2495
+ 1,
2496
+ -1,
2497
+ 0,
2498
+ 0,
2499
+ 0,
2500
+ 10,
2501
+ 4,
2502
+ 13,
2503
+ -1,
2504
+ 0,
2505
+ 9,
2506
+ 1,
2507
+ -1,
2508
+ 3,
2509
+ -1,
2510
+ 6,
2511
+ 3,
2512
+ -1,
2513
+ 7,
2514
+ 7,
2515
+ -1,
2516
+ -1,
2517
+ 13,
2518
+ 1,
2519
+ 7,
2520
+ 0,
2521
+ 0,
2522
+ -1,
2523
+ -1,
2524
+ -1,
2525
+ -1,
2526
+ -1,
2527
+ 0,
2528
+ 9,
2529
+ -1,
2530
+ 2,
2531
+ 0,
2532
+ -1,
2533
+ 1,
2534
+ -1,
2535
+ 4,
2536
+ 7,
2537
+ -1,
2538
+ 3,
2539
+ 7,
2540
+ 0,
2541
+ -1,
2542
+ 1,
2543
+ -1,
2544
+ 4,
2545
+ 13,
2546
+ -1,
2547
+ 7,
2548
+ 3,
2549
+ 12,
2550
+ 0,
2551
+ 2,
2552
+ 0,
2553
+ 13,
2554
+ -1,
2555
+ 5,
2556
+ 11,
2557
+ -1,
2558
+ 12,
2559
+ 0,
2560
+ -1,
2561
+ 3,
2562
+ 0,
2563
+ 18,
2564
+ 0,
2565
+ 4,
2566
+ 13,
2567
+ 0,
2568
+ -1,
2569
+ 4,
2570
+ -1,
2571
+ 1,
2572
+ 0,
2573
+ 0,
2574
+ 5,
2575
+ 8,
2576
+ -1,
2577
+ 5,
2578
+ 18,
2579
+ -1,
2580
+ 0,
2581
+ 1,
2582
+ 1,
2583
+ 0,
2584
+ 5,
2585
+ -1,
2586
+ 0,
2587
+ 0,
2588
+ 0,
2589
+ 0,
2590
+ 1,
2591
+ -1,
2592
+ 7,
2593
+ 7,
2594
+ 1,
2595
+ 3,
2596
+ -1,
2597
+ -1,
2598
+ -1,
2599
+ 0,
2600
+ 0,
2601
+ -1,
2602
+ 2,
2603
+ 0,
2604
+ 3,
2605
+ 11,
2606
+ -1,
2607
+ 13,
2608
+ 13,
2609
+ 14,
2610
+ 6,
2611
+ 9,
2612
+ -1,
2613
+ 0,
2614
+ -1,
2615
+ 12,
2616
+ 10,
2617
+ 8,
2618
+ 6,
2619
+ 1,
2620
+ -1,
2621
+ 0,
2622
+ 1,
2623
+ -1,
2624
+ 3,
2625
+ 5,
2626
+ 1,
2627
+ 12,
2628
+ 2,
2629
+ 0,
2630
+ 16,
2631
+ 3,
2632
+ 3,
2633
+ 1,
2634
+ -1,
2635
+ -1,
2636
+ 0,
2637
+ -1,
2638
+ 0,
2639
+ -1,
2640
+ -1,
2641
+ -1,
2642
+ -1,
2643
+ 3,
2644
+ -1,
2645
+ 1,
2646
+ -1,
2647
+ 4,
2648
+ 0,
2649
+ 4,
2650
+ 18,
2651
+ -1,
2652
+ 0,
2653
+ -1,
2654
+ -1,
2655
+ 11,
2656
+ 10,
2657
+ -1,
2658
+ 16,
2659
+ -1,
2660
+ 9,
2661
+ 3,
2662
+ -1,
2663
+ 10,
2664
+ 0,
2665
+ -1,
2666
+ -1,
2667
+ -1,
2668
+ 3,
2669
+ 7,
2670
+ 1,
2671
+ -1,
2672
+ 10,
2673
+ 18,
2674
+ 8,
2675
+ 0,
2676
+ 6,
2677
+ -1,
2678
+ 0,
2679
+ -1,
2680
+ -1,
2681
+ -1,
2682
+ -1,
2683
+ -1,
2684
+ 6,
2685
+ 1,
2686
+ 0,
2687
+ 7,
2688
+ -1,
2689
+ 0,
2690
+ -1,
2691
+ 12,
2692
+ 10,
2693
+ -1,
2694
+ 1,
2695
+ 8,
2696
+ 0,
2697
+ 8,
2698
+ 0,
2699
+ 10,
2700
+ -1,
2701
+ -1,
2702
+ 9,
2703
+ -1,
2704
+ 0,
2705
+ -1,
2706
+ -1,
2707
+ 12,
2708
+ -1,
2709
+ -1,
2710
+ 1,
2711
+ 0,
2712
+ 12,
2713
+ -1,
2714
+ 1,
2715
+ 7,
2716
+ 3,
2717
+ 0,
2718
+ 4,
2719
+ 7,
2720
+ 2,
2721
+ 0,
2722
+ 0,
2723
+ 1,
2724
+ 0,
2725
+ 0,
2726
+ 0,
2727
+ -1,
2728
+ -1,
2729
+ 0,
2730
+ -1,
2731
+ 11,
2732
+ -1,
2733
+ 3,
2734
+ 0,
2735
+ 15,
2736
+ 12,
2737
+ -1,
2738
+ 1,
2739
+ 1,
2740
+ -1,
2741
+ 0,
2742
+ -1,
2743
+ -1,
2744
+ 2,
2745
+ 2,
2746
+ 2,
2747
+ -1,
2748
+ 2,
2749
+ 1,
2750
+ 9,
2751
+ 0,
2752
+ -1
2753
+ ],
2754
+ "topic_sizes": {
2755
+ "-1": 616,
2756
+ "2": 92,
2757
+ "12": 20,
2758
+ "0": 467,
2759
+ "7": 52,
2760
+ "9": 49,
2761
+ "5": 59,
2762
+ "8": 49,
2763
+ "1": 139,
2764
+ "18": 10,
2765
+ "6": 58,
2766
+ "4": 75,
2767
+ "16": 14,
2768
+ "3": 86,
2769
+ "15": 15,
2770
+ "11": 21,
2771
+ "10": 37,
2772
+ "13": 20,
2773
+ "17": 12,
2774
+ "14": 17
2775
+ },
2776
+ "topic_mapper": [
2777
+ [
2778
+ -1,
2779
+ -1,
2780
+ -1,
2781
+ -1
2782
+ ],
2783
+ [
2784
+ 0,
2785
+ 0,
2786
+ 18,
2787
+ 12
2788
+ ],
2789
+ [
2790
+ 1,
2791
+ 1,
2792
+ 15,
2793
+ 16
2794
+ ],
2795
+ [
2796
+ 2,
2797
+ 2,
2798
+ 0,
2799
+ 2
2800
+ ],
2801
+ [
2802
+ 3,
2803
+ 3,
2804
+ 9,
2805
+ 1
2806
+ ],
2807
+ [
2808
+ 4,
2809
+ 4,
2810
+ 0,
2811
+ 2
2812
+ ],
2813
+ [
2814
+ 5,
2815
+ 5,
2816
+ 0,
2817
+ 2
2818
+ ],
2819
+ [
2820
+ 6,
2821
+ 6,
2822
+ 16,
2823
+ 13
2824
+ ],
2825
+ [
2826
+ 7,
2827
+ 7,
2828
+ 13,
2829
+ 3
2830
+ ],
2831
+ [
2832
+ 8,
2833
+ 8,
2834
+ 12,
2835
+ 7
2836
+ ],
2837
+ [
2838
+ 9,
2839
+ 9,
2840
+ 7,
2841
+ 11
2842
+ ],
2843
+ [
2844
+ 10,
2845
+ 10,
2846
+ 2,
2847
+ 0
2848
+ ],
2849
+ [
2850
+ 11,
2851
+ 11,
2852
+ 5,
2853
+ 8
2854
+ ],
2855
+ [
2856
+ 12,
2857
+ 12,
2858
+ 5,
2859
+ 8
2860
+ ],
2861
+ [
2862
+ 13,
2863
+ 13,
2864
+ 12,
2865
+ 7
2866
+ ],
2867
+ [
2868
+ 14,
2869
+ 14,
2870
+ 17,
2871
+ 14
2872
+ ],
2873
+ [
2874
+ 15,
2875
+ 15,
2876
+ 10,
2877
+ 9
2878
+ ],
2879
+ [
2880
+ 16,
2881
+ 16,
2882
+ 4,
2883
+ 6
2884
+ ],
2885
+ [
2886
+ 17,
2887
+ 17,
2888
+ 8,
2889
+ 15
2890
+ ],
2891
+ [
2892
+ 18,
2893
+ 18,
2894
+ 14,
2895
+ 17
2896
+ ],
2897
+ [
2898
+ 19,
2899
+ 19,
2900
+ 6,
2901
+ 5
2902
+ ],
2903
+ [
2904
+ 20,
2905
+ 20,
2906
+ 3,
2907
+ 18
2908
+ ],
2909
+ [
2910
+ 21,
2911
+ 21,
2912
+ 1,
2913
+ 10
2914
+ ],
2915
+ [
2916
+ 22,
2917
+ 22,
2918
+ 1,
2919
+ 10
2920
+ ],
2921
+ [
2922
+ 23,
2923
+ 23,
2924
+ 2,
2925
+ 0
2926
+ ],
2927
+ [
2928
+ 24,
2929
+ 24,
2930
+ 2,
2931
+ 0
2932
+ ],
2933
+ [
2934
+ 25,
2935
+ 25,
2936
+ 2,
2937
+ 0
2938
+ ],
2939
+ [
2940
+ 26,
2941
+ 26,
2942
+ 6,
2943
+ 5
2944
+ ],
2945
+ [
2946
+ 27,
2947
+ 27,
2948
+ 11,
2949
+ 4
2950
+ ],
2951
+ [
2952
+ 28,
2953
+ 28,
2954
+ 11,
2955
+ 4
2956
+ ],
2957
+ [
2958
+ 29,
2959
+ 29,
2960
+ 11,
2961
+ 4
2962
+ ],
2963
+ [
2964
+ 30,
2965
+ 30,
2966
+ 11,
2967
+ 4
2968
+ ],
2969
+ [
2970
+ 31,
2971
+ 31,
2972
+ 6,
2973
+ 5
2974
+ ],
2975
+ [
2976
+ 32,
2977
+ 32,
2978
+ 2,
2979
+ 0
2980
+ ],
2981
+ [
2982
+ 33,
2983
+ 33,
2984
+ 2,
2985
+ 0
2986
+ ],
2987
+ [
2988
+ 34,
2989
+ 34,
2990
+ 2,
2991
+ 0
2992
+ ],
2993
+ [
2994
+ 35,
2995
+ 35,
2996
+ 2,
2997
+ 0
2998
+ ],
2999
+ [
3000
+ 36,
3001
+ 36,
3002
+ 2,
3003
+ 0
3004
+ ]
3005
+ ],
3006
+ "topic_labels": {
3007
+ "-1": "-1_models_language_model_language models",
3008
+ "0": "0_models_language_reasoning_language models",
3009
+ "1": "1_code_llms_language_models",
3010
+ "2": "2_learning_reinforcement_reinforcement learning_planning",
3011
+ "3": "3_clinical_medical_models_language",
3012
+ "4": "4_language_models_language models_llms",
3013
+ "5": "5_summarization_event_generation_events",
3014
+ "6": "6_dialogue_dialog_systems_conversational",
3015
+ "7": "7_text_adversarial_attacks_detection",
3016
+ "8": "8_bias_biases_social_gender",
3017
+ "9": "9_ai_chatgpt_ethical_artificial intelligence",
3018
+ "10": "10_education_students_programming_educational",
3019
+ "11": "11_privacy_private_federated_attacks",
3020
+ "12": "12_speech_audio_asr_speech recognition",
3021
+ "13": "13_materials_chemistry_chemical_molecular",
3022
+ "14": "14_recommendation_user_item_reviews",
3023
+ "15": "15_financial_sentiment_stock_data",
3024
+ "16": "16_game_games_state_generate",
3025
+ "17": "17_legal_law_argumentative_court",
3026
+ "18": "18_metadata_language_keyphrase_large"
3027
+ },
3028
+ "custom_labels": null,
3029
+ "_outliers": 1,
3030
+ "topic_aspects": {
3031
+ "KeyBERT": {
3032
+ "-1": [
3033
+ [
3034
+ "large language models",
3035
+ 0.6524196863174438
3036
+ ],
3037
+ [
3038
+ "large language models llms",
3039
+ 0.6094037294387817
3040
+ ],
3041
+ [
3042
+ "language models",
3043
+ 0.577621579170227
3044
+ ],
3045
+ [
3046
+ "language models llms",
3047
+ 0.5506136417388916
3048
+ ],
3049
+ [
3050
+ "language model",
3051
+ 0.516822338104248
3052
+ ],
3053
+ [
3054
+ "large language",
3055
+ 0.4781968295574188
3056
+ ],
3057
+ [
3058
+ "natural language",
3059
+ 0.45580756664276123
3060
+ ],
3061
+ [
3062
+ "language",
3063
+ 0.35921984910964966
3064
+ ],
3065
+ [
3066
+ "nlp",
3067
+ 0.34074312448501587
3068
+ ],
3069
+ [
3070
+ "generative",
3071
+ 0.33984577655792236
3072
+ ]
3073
+ ],
3074
+ "0": [
3075
+ [
3076
+ "large language models llms",
3077
+ 0.5911638736724854
3078
+ ],
3079
+ [
3080
+ "large language models",
3081
+ 0.582787036895752
3082
+ ],
3083
+ [
3084
+ "language models llms",
3085
+ 0.554524302482605
3086
+ ],
3087
+ [
3088
+ "language models",
3089
+ 0.5321561098098755
3090
+ ],
3091
+ [
3092
+ "question answering",
3093
+ 0.5027930736541748
3094
+ ],
3095
+ [
3096
+ "language model",
3097
+ 0.48314008116722107
3098
+ ],
3099
+ [
3100
+ "large language",
3101
+ 0.4559498727321625
3102
+ ],
3103
+ [
3104
+ "natural language",
3105
+ 0.44582638144493103
3106
+ ],
3107
+ [
3108
+ "language",
3109
+ 0.3558369278907776
3110
+ ],
3111
+ [
3112
+ "languages",
3113
+ 0.35205376148223877
3114
+ ]
3115
+ ],
3116
+ "1": [
3117
+ [
3118
+ "code generation",
3119
+ 0.6319025158882141
3120
+ ],
3121
+ [
3122
+ "generated code",
3123
+ 0.4793688654899597
3124
+ ],
3125
+ [
3126
+ "large language models llms",
3127
+ 0.44411754608154297
3128
+ ],
3129
+ [
3130
+ "large language models",
3131
+ 0.443473756313324
3132
+ ],
3133
+ [
3134
+ "programming",
3135
+ 0.43710777163505554
3136
+ ],
3137
+ [
3138
+ "coding",
3139
+ 0.42737042903900146
3140
+ ],
3141
+ [
3142
+ "source code",
3143
+ 0.41582682728767395
3144
+ ],
3145
+ [
3146
+ "language models llms",
3147
+ 0.4130021333694458
3148
+ ],
3149
+ [
3150
+ "language models",
3151
+ 0.4106578826904297
3152
+ ],
3153
+ [
3154
+ "code",
3155
+ 0.39888113737106323
3156
+ ]
3157
+ ],
3158
+ "2": [
3159
+ [
3160
+ "reinforcement learning rl",
3161
+ 0.5654180645942688
3162
+ ],
3163
+ [
3164
+ "reinforcement learning",
3165
+ 0.5039910674095154
3166
+ ],
3167
+ [
3168
+ "reinforcement",
3169
+ 0.4733954668045044
3170
+ ],
3171
+ [
3172
+ "learning rl",
3173
+ 0.46665504574775696
3174
+ ],
3175
+ [
3176
+ "language models",
3177
+ 0.4026542603969574
3178
+ ],
3179
+ [
3180
+ "large language models",
3181
+ 0.39571189880371094
3182
+ ],
3183
+ [
3184
+ "language model",
3185
+ 0.386991024017334
3186
+ ],
3187
+ [
3188
+ "reward",
3189
+ 0.38689982891082764
3190
+ ],
3191
+ [
3192
+ "robot",
3193
+ 0.3849390745162964
3194
+ ],
3195
+ [
3196
+ "language models llms",
3197
+ 0.38311249017715454
3198
+ ]
3199
+ ],
3200
+ "3": [
3201
+ [
3202
+ "language models",
3203
+ 0.5105314254760742
3204
+ ],
3205
+ [
3206
+ "large language models",
3207
+ 0.5055035948753357
3208
+ ],
3209
+ [
3210
+ "natural language processing",
3211
+ 0.4704420566558838
3212
+ ],
3213
+ [
3214
+ "large language models llms",
3215
+ 0.46752262115478516
3216
+ ],
3217
+ [
3218
+ "language model",
3219
+ 0.4646341800689697
3220
+ ],
3221
+ [
3222
+ "natural language",
3223
+ 0.4554535150527954
3224
+ ],
3225
+ [
3226
+ "language models llms",
3227
+ 0.4549911618232727
3228
+ ],
3229
+ [
3230
+ "entity recognition",
3231
+ 0.44437742233276367
3232
+ ],
3233
+ [
3234
+ "named entity recognition",
3235
+ 0.4267122745513916
3236
+ ],
3237
+ [
3238
+ "clinical notes",
3239
+ 0.4236452877521515
3240
+ ]
3241
+ ],
3242
+ "4": [
3243
+ [
3244
+ "large language models",
3245
+ 0.6262757778167725
3246
+ ],
3247
+ [
3248
+ "neural language models",
3249
+ 0.5818496942520142
3250
+ ],
3251
+ [
3252
+ "large language models llms",
3253
+ 0.5576024055480957
3254
+ ],
3255
+ [
3256
+ "large language",
3257
+ 0.5438034534454346
3258
+ ],
3259
+ [
3260
+ "language models",
3261
+ 0.5274489521980286
3262
+ ],
3263
+ [
3264
+ "language model",
3265
+ 0.4906846880912781
3266
+ ],
3267
+ [
3268
+ "language models llms",
3269
+ 0.4883960485458374
3270
+ ],
3271
+ [
3272
+ "neural language",
3273
+ 0.4828639030456543
3274
+ ],
3275
+ [
3276
+ "linguistic",
3277
+ 0.396881103515625
3278
+ ],
3279
+ [
3280
+ "language",
3281
+ 0.38502997159957886
3282
+ ]
3283
+ ],
3284
+ "5": [
3285
+ [
3286
+ "large language models",
3287
+ 0.5285660028457642
3288
+ ],
3289
+ [
3290
+ "abstractive summarization",
3291
+ 0.47367438673973083
3292
+ ],
3293
+ [
3294
+ "language models",
3295
+ 0.4649951457977295
3296
+ ],
3297
+ [
3298
+ "natural language",
3299
+ 0.45373791456222534
3300
+ ],
3301
+ [
3302
+ "text generation",
3303
+ 0.4396997392177582
3304
+ ],
3305
+ [
3306
+ "summarization",
3307
+ 0.43709197640419006
3308
+ ],
3309
+ [
3310
+ "text summarization",
3311
+ 0.43573248386383057
3312
+ ],
3313
+ [
3314
+ "annotations",
3315
+ 0.4181937277317047
3316
+ ],
3317
+ [
3318
+ "summaries",
3319
+ 0.4145240783691406
3320
+ ],
3321
+ [
3322
+ "language model",
3323
+ 0.3882950246334076
3324
+ ]
3325
+ ],
3326
+ "6": [
3327
+ [
3328
+ "dialogue generation",
3329
+ 0.6580034494400024
3330
+ ],
3331
+ [
3332
+ "dialogue systems",
3333
+ 0.636508584022522
3334
+ ],
3335
+ [
3336
+ "conversational ai",
3337
+ 0.6324620246887207
3338
+ ],
3339
+ [
3340
+ "dialog systems",
3341
+ 0.5973572134971619
3342
+ ],
3343
+ [
3344
+ "taskoriented dialogue",
3345
+ 0.5501685738563538
3346
+ ],
3347
+ [
3348
+ "dialogue",
3349
+ 0.5433228611946106
3350
+ ],
3351
+ [
3352
+ "dialogs",
3353
+ 0.5411441326141357
3354
+ ],
3355
+ [
3356
+ "dialogues",
3357
+ 0.5400388240814209
3358
+ ],
3359
+ [
3360
+ "dialog",
3361
+ 0.5159187316894531
3362
+ ],
3363
+ [
3364
+ "conversational agents",
3365
+ 0.5061012506484985
3366
+ ]
3367
+ ],
3368
+ "7": [
3369
+ [
3370
+ "adversarial",
3371
+ 0.5926355123519897
3372
+ ],
3373
+ [
3374
+ "adversarial examples",
3375
+ 0.5737656354904175
3376
+ ],
3377
+ [
3378
+ "adversarial attacks",
3379
+ 0.5387518405914307
3380
+ ],
3381
+ [
3382
+ "large language models",
3383
+ 0.39956286549568176
3384
+ ],
3385
+ [
3386
+ "malicious",
3387
+ 0.39038753509521484
3388
+ ],
3389
+ [
3390
+ "large language models llms",
3391
+ 0.3902621269226074
3392
+ ],
3393
+ [
3394
+ "synthetic text",
3395
+ 0.3860642910003662
3396
+ ],
3397
+ [
3398
+ "machinegenerated text",
3399
+ 0.3804391622543335
3400
+ ],
3401
+ [
3402
+ "language models llms",
3403
+ 0.35891979932785034
3404
+ ],
3405
+ [
3406
+ "text generated",
3407
+ 0.3587273359298706
3408
+ ]
3409
+ ],
3410
+ "8": [
3411
+ [
3412
+ "bias",
3413
+ 0.5200188159942627
3414
+ ],
3415
+ [
3416
+ "biases",
3417
+ 0.518371045589447
3418
+ ],
3419
+ [
3420
+ "gender bias",
3421
+ 0.49439144134521484
3422
+ ],
3423
+ [
3424
+ "social biases",
3425
+ 0.4940491318702698
3426
+ ],
3427
+ [
3428
+ "large language models",
3429
+ 0.47197145223617554
3430
+ ],
3431
+ [
3432
+ "language models",
3433
+ 0.4264064133167267
3434
+ ],
3435
+ [
3436
+ "biased",
3437
+ 0.4112139642238617
3438
+ ],
3439
+ [
3440
+ "stereotypes",
3441
+ 0.39540940523147583
3442
+ ],
3443
+ [
3444
+ "nlp",
3445
+ 0.35034799575805664
3446
+ ],
3447
+ [
3448
+ "debiasing",
3449
+ 0.3497699201107025
3450
+ ]
3451
+ ],
3452
+ "9": [
3453
+ [
3454
+ "use ai",
3455
+ 0.5330235362052917
3456
+ ],
3457
+ [
3458
+ "ai",
3459
+ 0.518752932548523
3460
+ ],
3461
+ [
3462
+ "chatbots",
3463
+ 0.49957114458084106
3464
+ ],
3465
+ [
3466
+ "intelligence ai",
3467
+ 0.4955079257488251
3468
+ ],
3469
+ [
3470
+ "artificial intelligence ai",
3471
+ 0.4575292766094208
3472
+ ],
3473
+ [
3474
+ "artificial intelligence",
3475
+ 0.41617104411125183
3476
+ ],
3477
+ [
3478
+ "chatbot",
3479
+ 0.3978983163833618
3480
+ ],
3481
+ [
3482
+ "generative ai",
3483
+ 0.37390366196632385
3484
+ ],
3485
+ [
3486
+ "ai systems",
3487
+ 0.37244713306427
3488
+ ],
3489
+ [
3490
+ "intelligence",
3491
+ 0.35662752389907837
3492
+ ]
3493
+ ],
3494
+ "10": [
3495
+ [
3496
+ "assessments",
3497
+ 0.4792167544364929
3498
+ ],
3499
+ [
3500
+ "grading",
3501
+ 0.46705326437950134
3502
+ ],
3503
+ [
3504
+ "assessment",
3505
+ 0.46158915758132935
3506
+ ],
3507
+ [
3508
+ "programming",
3509
+ 0.45594915747642517
3510
+ ],
3511
+ [
3512
+ "learners",
3513
+ 0.4395023286342621
3514
+ ],
3515
+ [
3516
+ "tutors",
3517
+ 0.420867383480072
3518
+ ],
3519
+ [
3520
+ "exam",
3521
+ 0.4041029214859009
3522
+ ],
3523
+ [
3524
+ "gpt models",
3525
+ 0.39084869623184204
3526
+ ],
3527
+ [
3528
+ "assignments",
3529
+ 0.3882938027381897
3530
+ ],
3531
+ [
3532
+ "teaching learning",
3533
+ 0.3844485580921173
3534
+ ]
3535
+ ],
3536
+ "11": [
3537
+ [
3538
+ "differential privacy",
3539
+ 0.5938997268676758
3540
+ ],
3541
+ [
3542
+ "private data",
3543
+ 0.5475181341171265
3544
+ ],
3545
+ [
3546
+ "privacy",
3547
+ 0.5180834531784058
3548
+ ],
3549
+ [
3550
+ "privacypreserving",
3551
+ 0.5111991167068481
3552
+ ],
3553
+ [
3554
+ "private",
3555
+ 0.44471609592437744
3556
+ ],
3557
+ [
3558
+ "confidentiality",
3559
+ 0.4183264374732971
3560
+ ],
3561
+ [
3562
+ "personally identifiable information",
3563
+ 0.4175710082054138
3564
+ ],
3565
+ [
3566
+ "language models llms",
3567
+ 0.3762269616127014
3568
+ ],
3569
+ [
3570
+ "large language models",
3571
+ 0.36788785457611084
3572
+ ],
3573
+ [
3574
+ "personally identifiable",
3575
+ 0.337302565574646
3576
+ ]
3577
+ ],
3578
+ "12": [
3579
+ [
3580
+ "automatic speech recognition asr",
3581
+ 0.6163004636764526
3582
+ ],
3583
+ [
3584
+ "speech recognition asr",
3585
+ 0.615149199962616
3586
+ ],
3587
+ [
3588
+ "speech recognition",
3589
+ 0.6086971759796143
3590
+ ],
3591
+ [
3592
+ "automatic speech",
3593
+ 0.6071953773498535
3594
+ ],
3595
+ [
3596
+ "speech processing",
3597
+ 0.5892250537872314
3598
+ ],
3599
+ [
3600
+ "automatic speech recognition",
3601
+ 0.5540807247161865
3602
+ ],
3603
+ [
3604
+ "large language models",
3605
+ 0.4588335156440735
3606
+ ],
3607
+ [
3608
+ "recognition asr",
3609
+ 0.45348700881004333
3610
+ ],
3611
+ [
3612
+ "audio",
3613
+ 0.4509645104408264
3614
+ ],
3615
+ [
3616
+ "speech",
3617
+ 0.43476763367652893
3618
+ ]
3619
+ ],
3620
+ "13": [
3621
+ [
3622
+ "materials science",
3623
+ 0.45613279938697815
3624
+ ],
3625
+ [
3626
+ "large language models",
3627
+ 0.45272472500801086
3628
+ ],
3629
+ [
3630
+ "language models",
3631
+ 0.428160697221756
3632
+ ],
3633
+ [
3634
+ "multimodal machine learning",
3635
+ 0.39814895391464233
3636
+ ],
3637
+ [
3638
+ "materials",
3639
+ 0.3936993181705475
3640
+ ],
3641
+ [
3642
+ "language model",
3643
+ 0.3735770285129547
3644
+ ],
3645
+ [
3646
+ "molecular",
3647
+ 0.3661014139652252
3648
+ ],
3649
+ [
3650
+ "metalorganic frameworks",
3651
+ 0.35577744245529175
3652
+ ],
3653
+ [
3654
+ "generative",
3655
+ 0.3499380052089691
3656
+ ],
3657
+ [
3658
+ "models",
3659
+ 0.33448928594589233
3660
+ ]
3661
+ ],
3662
+ "14": [
3663
+ [
3664
+ "recommendation tasks",
3665
+ 0.5704984068870544
3666
+ ],
3667
+ [
3668
+ "recommendation systems",
3669
+ 0.491553395986557
3670
+ ],
3671
+ [
3672
+ "large language models",
3673
+ 0.48339223861694336
3674
+ ],
3675
+ [
3676
+ "recommender systems",
3677
+ 0.4313749670982361
3678
+ ],
3679
+ [
3680
+ "language models",
3681
+ 0.4251435399055481
3682
+ ],
3683
+ [
3684
+ "large language models llms",
3685
+ 0.4128427505493164
3686
+ ],
3687
+ [
3688
+ "recommender",
3689
+ 0.39643579721450806
3690
+ ],
3691
+ [
3692
+ "language models llms",
3693
+ 0.3619629740715027
3694
+ ],
3695
+ [
3696
+ "language model",
3697
+ 0.3565324544906616
3698
+ ],
3699
+ [
3700
+ "personalized",
3701
+ 0.3467310070991516
3702
+ ]
3703
+ ],
3704
+ "15": [
3705
+ [
3706
+ "financial text",
3707
+ 0.5319672226905823
3708
+ ],
3709
+ [
3710
+ "large language models llms",
3711
+ 0.4954695701599121
3712
+ ],
3713
+ [
3714
+ "large language models",
3715
+ 0.4928455948829651
3716
+ ],
3717
+ [
3718
+ "financial data",
3719
+ 0.4512844681739807
3720
+ ],
3721
+ [
3722
+ "large language model",
3723
+ 0.45002835988998413
3724
+ ],
3725
+ [
3726
+ "textual data",
3727
+ 0.44398656487464905
3728
+ ],
3729
+ [
3730
+ "natural language processing",
3731
+ 0.4387863278388977
3732
+ ],
3733
+ [
3734
+ "language models llms",
3735
+ 0.4296887218952179
3736
+ ],
3737
+ [
3738
+ "language models",
3739
+ 0.4079223573207855
3740
+ ],
3741
+ [
3742
+ "financial domain",
3743
+ 0.3984525203704834
3744
+ ]
3745
+ ],
3746
+ "16": [
3747
+ [
3748
+ "large language models",
3749
+ 0.49653467535972595
3750
+ ],
3751
+ [
3752
+ "language models",
3753
+ 0.48413050174713135
3754
+ ],
3755
+ [
3756
+ "games",
3757
+ 0.4577163755893707
3758
+ ],
3759
+ [
3760
+ "large language models llms",
3761
+ 0.4541606903076172
3762
+ ],
3763
+ [
3764
+ "language models llms",
3765
+ 0.43495261669158936
3766
+ ],
3767
+ [
3768
+ "natural language",
3769
+ 0.43076270818710327
3770
+ ],
3771
+ [
3772
+ "learning natural language",
3773
+ 0.4246530830860138
3774
+ ],
3775
+ [
3776
+ "game play",
3777
+ 0.4233362078666687
3778
+ ],
3779
+ [
3780
+ "large language",
3781
+ 0.4041159451007843
3782
+ ],
3783
+ [
3784
+ "dialogue",
3785
+ 0.38871267437934875
3786
+ ]
3787
+ ],
3788
+ "17": [
3789
+ [
3790
+ "legal reasoning",
3791
+ 0.506987452507019
3792
+ ],
3793
+ [
3794
+ "lawyers",
3795
+ 0.45612990856170654
3796
+ ],
3797
+ [
3798
+ "large language models",
3799
+ 0.45298507809638977
3800
+ ],
3801
+ [
3802
+ "law",
3803
+ 0.44750940799713135
3804
+ ],
3805
+ [
3806
+ "language models",
3807
+ 0.43448054790496826
3808
+ ],
3809
+ [
3810
+ "case law",
3811
+ 0.4127686023712158
3812
+ ],
3813
+ [
3814
+ "court",
3815
+ 0.4097139239311218
3816
+ ],
3817
+ [
3818
+ "language model",
3819
+ 0.38629433512687683
3820
+ ],
3821
+ [
3822
+ "large language",
3823
+ 0.38136470317840576
3824
+ ],
3825
+ [
3826
+ "semantic",
3827
+ 0.34088826179504395
3828
+ ]
3829
+ ],
3830
+ "18": [
3831
+ [
3832
+ "clean crawled corpus",
3833
+ 0.6384062767028809
3834
+ ],
3835
+ [
3836
+ "colossal clean crawled corpus",
3837
+ 0.6344801783561707
3838
+ ],
3839
+ [
3840
+ "crawled corpus",
3841
+ 0.6284098625183105
3842
+ ],
3843
+ [
3844
+ "using large language models",
3845
+ 0.5948096513748169
3846
+ ],
3847
+ [
3848
+ "large language models",
3849
+ 0.5693912506103516
3850
+ ],
3851
+ [
3852
+ "large language models llms",
3853
+ 0.5192433595657349
3854
+ ],
3855
+ [
3856
+ "language models",
3857
+ 0.49298471212387085
3858
+ ],
3859
+ [
3860
+ "language models llms",
3861
+ 0.4475754499435425
3862
+ ],
3863
+ [
3864
+ "metadata",
3865
+ 0.44353848695755005
3866
+ ],
3867
+ [
3868
+ "keyphrase extraction",
3869
+ 0.44272154569625854
3870
+ ]
3871
+ ]
3872
+ },
3873
+ "MMR": {
3874
+ "-1": [
3875
+ [
3876
+ "models",
3877
+ 0.023185208102591424
3878
+ ],
3879
+ [
3880
+ "language",
3881
+ 0.021241209563513157
3882
+ ],
3883
+ [
3884
+ "model",
3885
+ 0.017230200360880122
3886
+ ],
3887
+ [
3888
+ "language models",
3889
+ 0.015942996344974904
3890
+ ],
3891
+ [
3892
+ "llms",
3893
+ 0.015053164156791735
3894
+ ],
3895
+ [
3896
+ "large",
3897
+ 0.01503488403773869
3898
+ ],
3899
+ [
3900
+ "data",
3901
+ 0.013672206532556424
3902
+ ],
3903
+ [
3904
+ "tasks",
3905
+ 0.013288180905775757
3906
+ ],
3907
+ [
3908
+ "large language",
3909
+ 0.013226292013718157
3910
+ ],
3911
+ [
3912
+ "large language models",
3913
+ 0.012014622692192101
3914
+ ]
3915
+ ],
3916
+ "0": [
3917
+ [
3918
+ "models",
3919
+ 0.02510498727465879
3920
+ ],
3921
+ [
3922
+ "language",
3923
+ 0.022174943980480366
3924
+ ],
3925
+ [
3926
+ "reasoning",
3927
+ 0.020035009390582618
3928
+ ],
3929
+ [
3930
+ "language models",
3931
+ 0.01707514594735875
3932
+ ],
3933
+ [
3934
+ "large",
3935
+ 0.016786565537276456
3936
+ ],
3937
+ [
3938
+ "model",
3939
+ 0.016297694200264817
3940
+ ],
3941
+ [
3942
+ "performance",
3943
+ 0.014851589256924487
3944
+ ],
3945
+ [
3946
+ "tasks",
3947
+ 0.014622399825528846
3948
+ ],
3949
+ [
3950
+ "large language",
3951
+ 0.013766347887073836
3952
+ ],
3953
+ [
3954
+ "llms",
3955
+ 0.013409395529759541
3956
+ ]
3957
+ ],
3958
+ "1": [
3959
+ [
3960
+ "code",
3961
+ 0.06182675820279348
3962
+ ],
3963
+ [
3964
+ "llms",
3965
+ 0.023694826215074214
3966
+ ],
3967
+ [
3968
+ "language",
3969
+ 0.02115614473852905
3970
+ ],
3971
+ [
3972
+ "models",
3973
+ 0.021006565524786646
3974
+ ],
3975
+ [
3976
+ "programming",
3977
+ 0.018292637018830545
3978
+ ],
3979
+ [
3980
+ "software",
3981
+ 0.017624396624625883
3982
+ ],
3983
+ [
3984
+ "large",
3985
+ 0.017401492497123906
3986
+ ],
3987
+ [
3988
+ "language models",
3989
+ 0.016007727101462334
3990
+ ],
3991
+ [
3992
+ "large language",
3993
+ 0.015976209789711364
3994
+ ],
3995
+ [
3996
+ "large language models",
3997
+ 0.014735799151669358
3998
+ ]
3999
+ ],
4000
+ "2": [
4001
+ [
4002
+ "learning",
4003
+ 0.0279794134558349
4004
+ ],
4005
+ [
4006
+ "reinforcement",
4007
+ 0.024755374910131994
4008
+ ],
4009
+ [
4010
+ "reinforcement learning",
4011
+ 0.024542322381648593
4012
+ ],
4013
+ [
4014
+ "planning",
4015
+ 0.023967219613138028
4016
+ ],
4017
+ [
4018
+ "rl",
4019
+ 0.023326198647124742
4020
+ ],
4021
+ [
4022
+ "robot",
4023
+ 0.02287408968940891
4024
+ ],
4025
+ [
4026
+ "language",
4027
+ 0.022798928336628443
4028
+ ],
4029
+ [
4030
+ "reward",
4031
+ 0.020043586557211546
4032
+ ],
4033
+ [
4034
+ "policy",
4035
+ 0.01884019553067392
4036
+ ],
4037
+ [
4038
+ "tasks",
4039
+ 0.01858891539683542
4040
+ ]
4041
+ ],
4042
+ "3": [
4043
+ [
4044
+ "clinical",
4045
+ 0.04733355732409683
4046
+ ],
4047
+ [
4048
+ "medical",
4049
+ 0.02827191879296549
4050
+ ],
4051
+ [
4052
+ "models",
4053
+ 0.023100731258597528
4054
+ ],
4055
+ [
4056
+ "language",
4057
+ 0.021046904287728836
4058
+ ],
4059
+ [
4060
+ "data",
4061
+ 0.02048513587801478
4062
+ ],
4063
+ [
4064
+ "biomedical",
4065
+ 0.018979238283679405
4066
+ ],
4067
+ [
4068
+ "llms",
4069
+ 0.017355353730415454
4070
+ ],
4071
+ [
4072
+ "health",
4073
+ 0.01723365329348662
4074
+ ],
4075
+ [
4076
+ "large",
4077
+ 0.01647052930196912
4078
+ ],
4079
+ [
4080
+ "large language",
4081
+ 0.01585573112190014
4082
+ ]
4083
+ ],
4084
+ "4": [
4085
+ [
4086
+ "language",
4087
+ 0.033794292635253576
4088
+ ],
4089
+ [
4090
+ "models",
4091
+ 0.032107322861617923
4092
+ ],
4093
+ [
4094
+ "language models",
4095
+ 0.0279587486259568
4096
+ ],
4097
+ [
4098
+ "llms",
4099
+ 0.019566118796545906
4100
+ ],
4101
+ [
4102
+ "scaling",
4103
+ 0.01825715942620782
4104
+ ],
4105
+ [
4106
+ "large",
4107
+ 0.01735738149225036
4108
+ ],
4109
+ [
4110
+ "hallucinations",
4111
+ 0.01714318322601738
4112
+ ],
4113
+ [
4114
+ "large language",
4115
+ 0.01577711455829973
4116
+ ],
4117
+ [
4118
+ "large language models",
4119
+ 0.015648846559255893
4120
+ ],
4121
+ [
4122
+ "training",
4123
+ 0.015439074621313217
4124
+ ]
4125
+ ],
4126
+ "5": [
4127
+ [
4128
+ "summarization",
4129
+ 0.04463466634066914
4130
+ ],
4131
+ [
4132
+ "event",
4133
+ 0.04103003595285452
4134
+ ],
4135
+ [
4136
+ "generation",
4137
+ 0.03031506455924498
4138
+ ],
4139
+ [
4140
+ "events",
4141
+ 0.02550365905000357
4142
+ ],
4143
+ [
4144
+ "text",
4145
+ 0.02506509404114226
4146
+ ],
4147
+ [
4148
+ "summaries",
4149
+ 0.02378208035356918
4150
+ ],
4151
+ [
4152
+ "evaluation",
4153
+ 0.019212297566739294
4154
+ ],
4155
+ [
4156
+ "language",
4157
+ 0.019125426968921885
4158
+ ],
4159
+ [
4160
+ "models",
4161
+ 0.017618393215262627
4162
+ ],
4163
+ [
4164
+ "human",
4165
+ 0.01735748851184384
4166
+ ]
4167
+ ],
4168
+ "6": [
4169
+ [
4170
+ "dialogue",
4171
+ 0.06089244707585951
4172
+ ],
4173
+ [
4174
+ "dialog",
4175
+ 0.03597820614896331
4176
+ ],
4177
+ [
4178
+ "systems",
4179
+ 0.0307669938018014
4180
+ ],
4181
+ [
4182
+ "conversational",
4183
+ 0.029069372456884048
4184
+ ],
4185
+ [
4186
+ "conversations",
4187
+ 0.023652620136262067
4188
+ ],
4189
+ [
4190
+ "dialogue systems",
4191
+ 0.02100058262346145
4192
+ ],
4193
+ [
4194
+ "responses",
4195
+ 0.020454076608578883
4196
+ ],
4197
+ [
4198
+ "models",
4199
+ 0.02025266031416148
4200
+ ],
4201
+ [
4202
+ "dialogues",
4203
+ 0.019275640364323436
4204
+ ],
4205
+ [
4206
+ "taskoriented",
4207
+ 0.018200470049419794
4208
+ ]
4209
+ ],
4210
+ "7": [
4211
+ [
4212
+ "text",
4213
+ 0.045321788925605434
4214
+ ],
4215
+ [
4216
+ "adversarial",
4217
+ 0.0451013397350564
4218
+ ],
4219
+ [
4220
+ "attacks",
4221
+ 0.030782113308851645
4222
+ ],
4223
+ [
4224
+ "detection",
4225
+ 0.028559114807147335
4226
+ ],
4227
+ [
4228
+ "models",
4229
+ 0.023381237484127893
4230
+ ],
4231
+ [
4232
+ "detectors",
4233
+ 0.020983453744490618
4234
+ ],
4235
+ [
4236
+ "aigenerated",
4237
+ 0.017890606354019022
4238
+ ],
4239
+ [
4240
+ "texts",
4241
+ 0.017672649444691407
4242
+ ],
4243
+ [
4244
+ "attack",
4245
+ 0.01672728437149775
4246
+ ],
4247
+ [
4248
+ "language",
4249
+ 0.01668134474716543
4250
+ ]
4251
+ ],
4252
+ "8": [
4253
+ [
4254
+ "bias",
4255
+ 0.06150877587869747
4256
+ ],
4257
+ [
4258
+ "biases",
4259
+ 0.03463486759500172
4260
+ ],
4261
+ [
4262
+ "social",
4263
+ 0.033278171137863584
4264
+ ],
4265
+ [
4266
+ "gender",
4267
+ 0.028802419528210506
4268
+ ],
4269
+ [
4270
+ "models",
4271
+ 0.027125170267870653
4272
+ ],
4273
+ [
4274
+ "language",
4275
+ 0.02650527241268684
4276
+ ],
4277
+ [
4278
+ "content",
4279
+ 0.024780247012797206
4280
+ ],
4281
+ [
4282
+ "language models",
4283
+ 0.021717153995574487
4284
+ ],
4285
+ [
4286
+ "online",
4287
+ 0.018332418876652667
4288
+ ],
4289
+ [
4290
+ "toxicity",
4291
+ 0.017607821807315432
4292
+ ]
4293
+ ],
4294
+ "9": [
4295
+ [
4296
+ "ai",
4297
+ 0.07179719487118659
4298
+ ],
4299
+ [
4300
+ "chatgpt",
4301
+ 0.031035418927245643
4302
+ ],
4303
+ [
4304
+ "ethical",
4305
+ 0.020400710028308476
4306
+ ],
4307
+ [
4308
+ "artificial intelligence",
4309
+ 0.020117232695143986
4310
+ ],
4311
+ [
4312
+ "intelligence",
4313
+ 0.019943051853814658
4314
+ ],
4315
+ [
4316
+ "use",
4317
+ 0.01977415892036898
4318
+ ],
4319
+ [
4320
+ "artificial",
4321
+ 0.019392905070324748
4322
+ ],
4323
+ [
4324
+ "generative",
4325
+ 0.019067922761475866
4326
+ ],
4327
+ [
4328
+ "social",
4329
+ 0.017485097835642584
4330
+ ],
4331
+ [
4332
+ "concerns",
4333
+ 0.016979441190608267
4334
+ ]
4335
+ ],
4336
+ "10": [
4337
+ [
4338
+ "education",
4339
+ 0.04223278545779533
4340
+ ],
4341
+ [
4342
+ "students",
4343
+ 0.026923636191638636
4344
+ ],
4345
+ [
4346
+ "programming",
4347
+ 0.026912279996616887
4348
+ ],
4349
+ [
4350
+ "educational",
4351
+ 0.026147734336790903
4352
+ ],
4353
+ [
4354
+ "questions",
4355
+ 0.026117656027513248
4356
+ ],
4357
+ [
4358
+ "chatgpt",
4359
+ 0.025382056873597927
4360
+ ],
4361
+ [
4362
+ "student",
4363
+ 0.02535846851453436
4364
+ ],
4365
+ [
4366
+ "assessments",
4367
+ 0.024244594833435103
4368
+ ],
4369
+ [
4370
+ "exam",
4371
+ 0.023846352412897714
4372
+ ],
4373
+ [
4374
+ "course",
4375
+ 0.02254614359792551
4376
+ ]
4377
+ ],
4378
+ "11": [
4379
+ [
4380
+ "privacy",
4381
+ 0.07774691933665064
4382
+ ],
4383
+ [
4384
+ "private",
4385
+ 0.06437790534803121
4386
+ ],
4387
+ [
4388
+ "federated",
4389
+ 0.04079568951095784
4390
+ ],
4391
+ [
4392
+ "attacks",
4393
+ 0.029613296626096908
4394
+ ],
4395
+ [
4396
+ "models",
4397
+ 0.028967925641988922
4398
+ ],
4399
+ [
4400
+ "pii",
4401
+ 0.027945589517164058
4402
+ ],
4403
+ [
4404
+ "differentially",
4405
+ 0.026822035429275092
4406
+ ],
4407
+ [
4408
+ "data",
4409
+ 0.02651018514444028
4410
+ ],
4411
+ [
4412
+ "privacypreserving",
4413
+ 0.024867562054613622
4414
+ ],
4415
+ [
4416
+ "language",
4417
+ 0.022676897706425742
4418
+ ]
4419
+ ],
4420
+ "12": [
4421
+ [
4422
+ "speech",
4423
+ 0.10050473981996193
4424
+ ],
4425
+ [
4426
+ "audio",
4427
+ 0.06591588897799411
4428
+ ],
4429
+ [
4430
+ "asr",
4431
+ 0.05776730937764383
4432
+ ],
4433
+ [
4434
+ "speech recognition",
4435
+ 0.03981003097315224
4436
+ ],
4437
+ [
4438
+ "recognition",
4439
+ 0.03740298847730898
4440
+ ],
4441
+ [
4442
+ "speaker",
4443
+ 0.037220870721205786
4444
+ ],
4445
+ [
4446
+ "spoken",
4447
+ 0.030652923449979396
4448
+ ],
4449
+ [
4450
+ "model",
4451
+ 0.025861917897484234
4452
+ ],
4453
+ [
4454
+ "error",
4455
+ 0.024935325651539324
4456
+ ],
4457
+ [
4458
+ "automatic speech",
4459
+ 0.024736505021172816
4460
+ ]
4461
+ ],
4462
+ "13": [
4463
+ [
4464
+ "materials",
4465
+ 0.07014437417930033
4466
+ ],
4467
+ [
4468
+ "chemistry",
4469
+ 0.03453309097179555
4470
+ ],
4471
+ [
4472
+ "chemical",
4473
+ 0.033179570117528
4474
+ ],
4475
+ [
4476
+ "molecular",
4477
+ 0.020033426843505276
4478
+ ],
4479
+ [
4480
+ "model",
4481
+ 0.020002043323354552
4482
+ ],
4483
+ [
4484
+ "models",
4485
+ 0.018931671613857035
4486
+ ],
4487
+ [
4488
+ "synthesis",
4489
+ 0.018468571337889532
4490
+ ],
4491
+ [
4492
+ "properties",
4493
+ 0.018238218215857603
4494
+ ],
4495
+ [
4496
+ "learning",
4497
+ 0.01735271823562577
4498
+ ],
4499
+ [
4500
+ "language",
4501
+ 0.017297786522995746
4502
+ ]
4503
+ ],
4504
+ "14": [
4505
+ [
4506
+ "recommendation",
4507
+ 0.11274389068047955
4508
+ ],
4509
+ [
4510
+ "user",
4511
+ 0.04807986982371052
4512
+ ],
4513
+ [
4514
+ "item",
4515
+ 0.03913383666004485
4516
+ ],
4517
+ [
4518
+ "reviews",
4519
+ 0.029350666110090316
4520
+ ],
4521
+ [
4522
+ "news",
4523
+ 0.02928244550634868
4524
+ ],
4525
+ [
4526
+ "personalized",
4527
+ 0.028081085462225323
4528
+ ],
4529
+ [
4530
+ "recommendations",
4531
+ 0.027288696393097875
4532
+ ],
4533
+ [
4534
+ "recommender",
4535
+ 0.026265741702695158
4536
+ ],
4537
+ [
4538
+ "interests",
4539
+ 0.025748400299566678
4540
+ ],
4541
+ [
4542
+ "indexing",
4543
+ 0.02520874362719786
4544
+ ]
4545
+ ],
4546
+ "15": [
4547
+ [
4548
+ "financial",
4549
+ 0.09743681065174777
4550
+ ],
4551
+ [
4552
+ "sentiment",
4553
+ 0.0391096768787163
4554
+ ],
4555
+ [
4556
+ "stock",
4557
+ 0.034107194520419735
4558
+ ],
4559
+ [
4560
+ "data",
4561
+ 0.03324355670854176
4562
+ ],
4563
+ [
4564
+ "market",
4565
+ 0.030030898554573335
4566
+ ],
4567
+ [
4568
+ "sentiment analysis",
4569
+ 0.029702211297280706
4570
+ ],
4571
+ [
4572
+ "finance",
4573
+ 0.02816268892115391
4574
+ ],
4575
+ [
4576
+ "expectations",
4577
+ 0.025018551686463324
4578
+ ],
4579
+ [
4580
+ "social media",
4581
+ 0.02283496030447737
4582
+ ],
4583
+ [
4584
+ "chatgpt",
4585
+ 0.022638350944591937
4586
+ ]
4587
+ ],
4588
+ "16": [
4589
+ [
4590
+ "game",
4591
+ 0.11865030538282041
4592
+ ],
4593
+ [
4594
+ "games",
4595
+ 0.062194153563308326
4596
+ ],
4597
+ [
4598
+ "state",
4599
+ 0.03128335229564471
4600
+ ],
4601
+ [
4602
+ "generate",
4603
+ 0.029964203910469618
4604
+ ],
4605
+ [
4606
+ "state information",
4607
+ 0.028387256425934055
4608
+ ],
4609
+ [
4610
+ "language",
4611
+ 0.02619798312596649
4612
+ ],
4613
+ [
4614
+ "strategies",
4615
+ 0.025503893678639703
4616
+ ],
4617
+ [
4618
+ "chess",
4619
+ 0.02476548547865156
4620
+ ],
4621
+ [
4622
+ "strategic",
4623
+ 0.02422782448541941
4624
+ ],
4625
+ [
4626
+ "levels",
4627
+ 0.023191313600120337
4628
+ ]
4629
+ ],
4630
+ "17": [
4631
+ [
4632
+ "legal",
4633
+ 0.17205155854875812
4634
+ ],
4635
+ [
4636
+ "law",
4637
+ 0.02867700085654158
4638
+ ],
4639
+ [
4640
+ "argumentative",
4641
+ 0.02819541990639962
4642
+ ],
4643
+ [
4644
+ "court",
4645
+ 0.025184977454521355
4646
+ ],
4647
+ [
4648
+ "standards",
4649
+ 0.024670992418099665
4650
+ ],
4651
+ [
4652
+ "legal reasoning",
4653
+ 0.02308221995100163
4654
+ ],
4655
+ [
4656
+ "gpt4",
4657
+ 0.02202921183247471
4658
+ ],
4659
+ [
4660
+ "relevant",
4661
+ 0.021501095220146243
4662
+ ],
4663
+ [
4664
+ "ai",
4665
+ 0.021422334903565998
4666
+ ],
4667
+ [
4668
+ "language",
4669
+ 0.02096923504925563
4670
+ ]
4671
+ ],
4672
+ "18": [
4673
+ [
4674
+ "metadata",
4675
+ 0.047144538817116215
4676
+ ],
4677
+ [
4678
+ "language",
4679
+ 0.029342461291433596
4680
+ ],
4681
+ [
4682
+ "keyphrase",
4683
+ 0.02689903003273484
4684
+ ],
4685
+ [
4686
+ "large",
4687
+ 0.025946130587409202
4688
+ ],
4689
+ [
4690
+ "user intents",
4691
+ 0.0251543428242259
4692
+ ],
4693
+ [
4694
+ "log",
4695
+ 0.024651742390499654
4696
+ ],
4697
+ [
4698
+ "data",
4699
+ 0.02456711742529687
4700
+ ],
4701
+ [
4702
+ "log data",
4703
+ 0.02422438672089272
4704
+ ],
4705
+ [
4706
+ "language models",
4707
+ 0.023927326209216608
4708
+ ],
4709
+ [
4710
+ "using",
4711
+ 0.023710845352326777
4712
+ ]
4713
+ ]
4714
+ },
4715
+ "POS": {
4716
+ "-1": [
4717
+ [
4718
+ "models",
4719
+ 0.023185208102591424
4720
+ ],
4721
+ [
4722
+ "language",
4723
+ 0.021241209563513157
4724
+ ],
4725
+ [
4726
+ "model",
4727
+ 0.017230200360880122
4728
+ ],
4729
+ [
4730
+ "large",
4731
+ 0.01503488403773869
4732
+ ],
4733
+ [
4734
+ "data",
4735
+ 0.013672206532556424
4736
+ ],
4737
+ [
4738
+ "tasks",
4739
+ 0.013288180905775757
4740
+ ],
4741
+ [
4742
+ "large language",
4743
+ 0.013226292013718157
4744
+ ],
4745
+ [
4746
+ "human",
4747
+ 0.011108690502750419
4748
+ ],
4749
+ [
4750
+ "learning",
4751
+ 0.01094730837183975
4752
+ ],
4753
+ [
4754
+ "text",
4755
+ 0.010366536964930687
4756
+ ]
4757
+ ],
4758
+ "0": [
4759
+ [
4760
+ "models",
4761
+ 0.02510498727465879
4762
+ ],
4763
+ [
4764
+ "language",
4765
+ 0.022174943980480366
4766
+ ],
4767
+ [
4768
+ "reasoning",
4769
+ 0.020035009390582618
4770
+ ],
4771
+ [
4772
+ "large",
4773
+ 0.016786565537276456
4774
+ ],
4775
+ [
4776
+ "model",
4777
+ 0.016297694200264817
4778
+ ],
4779
+ [
4780
+ "performance",
4781
+ 0.014851589256924487
4782
+ ],
4783
+ [
4784
+ "tasks",
4785
+ 0.014622399825528846
4786
+ ],
4787
+ [
4788
+ "large language",
4789
+ 0.013766347887073836
4790
+ ],
4791
+ [
4792
+ "training",
4793
+ 0.012794278011208157
4794
+ ],
4795
+ [
4796
+ "data",
4797
+ 0.011581157778607692
4798
+ ]
4799
+ ],
4800
+ "1": [
4801
+ [
4802
+ "code",
4803
+ 0.06182675820279348
4804
+ ],
4805
+ [
4806
+ "language",
4807
+ 0.02115614473852905
4808
+ ],
4809
+ [
4810
+ "models",
4811
+ 0.021006565524786646
4812
+ ],
4813
+ [
4814
+ "programming",
4815
+ 0.018292637018830545
4816
+ ],
4817
+ [
4818
+ "software",
4819
+ 0.017624396624625883
4820
+ ],
4821
+ [
4822
+ "large",
4823
+ 0.017401492497123906
4824
+ ],
4825
+ [
4826
+ "large language",
4827
+ 0.015976209789711364
4828
+ ],
4829
+ [
4830
+ "generation",
4831
+ 0.01367892543751339
4832
+ ],
4833
+ [
4834
+ "tasks",
4835
+ 0.01225143348191393
4836
+ ],
4837
+ [
4838
+ "model",
4839
+ 0.01217543206331275
4840
+ ]
4841
+ ],
4842
+ "2": [
4843
+ [
4844
+ "learning",
4845
+ 0.0279794134558349
4846
+ ],
4847
+ [
4848
+ "reinforcement",
4849
+ 0.024755374910131994
4850
+ ],
4851
+ [
4852
+ "planning",
4853
+ 0.023967219613138028
4854
+ ],
4855
+ [
4856
+ "language",
4857
+ 0.022798928336628443
4858
+ ],
4859
+ [
4860
+ "reward",
4861
+ 0.020043586557211546
4862
+ ],
4863
+ [
4864
+ "policy",
4865
+ 0.01884019553067392
4866
+ ],
4867
+ [
4868
+ "tasks",
4869
+ 0.01858891539683542
4870
+ ],
4871
+ [
4872
+ "environment",
4873
+ 0.01801775587513549
4874
+ ],
4875
+ [
4876
+ "agents",
4877
+ 0.015957505519115237
4878
+ ],
4879
+ [
4880
+ "large",
4881
+ 0.014765069230431091
4882
+ ]
4883
+ ],
4884
+ "3": [
4885
+ [
4886
+ "clinical",
4887
+ 0.04733355732409683
4888
+ ],
4889
+ [
4890
+ "medical",
4891
+ 0.02827191879296549
4892
+ ],
4893
+ [
4894
+ "models",
4895
+ 0.023100731258597528
4896
+ ],
4897
+ [
4898
+ "language",
4899
+ 0.021046904287728836
4900
+ ],
4901
+ [
4902
+ "data",
4903
+ 0.02048513587801478
4904
+ ],
4905
+ [
4906
+ "biomedical",
4907
+ 0.018979238283679405
4908
+ ],
4909
+ [
4910
+ "health",
4911
+ 0.01723365329348662
4912
+ ],
4913
+ [
4914
+ "large",
4915
+ 0.01647052930196912
4916
+ ],
4917
+ [
4918
+ "large language",
4919
+ 0.01585573112190014
4920
+ ],
4921
+ [
4922
+ "healthcare",
4923
+ 0.015030152025553346
4924
+ ]
4925
+ ],
4926
+ "4": [
4927
+ [
4928
+ "language",
4929
+ 0.033794292635253576
4930
+ ],
4931
+ [
4932
+ "models",
4933
+ 0.032107322861617923
4934
+ ],
4935
+ [
4936
+ "scaling",
4937
+ 0.01825715942620782
4938
+ ],
4939
+ [
4940
+ "large",
4941
+ 0.01735738149225036
4942
+ ],
4943
+ [
4944
+ "hallucinations",
4945
+ 0.01714318322601738
4946
+ ],
4947
+ [
4948
+ "large language",
4949
+ 0.01577711455829973
4950
+ ],
4951
+ [
4952
+ "training",
4953
+ 0.015439074621313217
4954
+ ],
4955
+ [
4956
+ "model",
4957
+ 0.014869311539803204
4958
+ ],
4959
+ [
4960
+ "linguistic",
4961
+ 0.013990531420869612
4962
+ ],
4963
+ [
4964
+ "words",
4965
+ 0.013821261802163124
4966
+ ]
4967
+ ],
4968
+ "5": [
4969
+ [
4970
+ "summarization",
4971
+ 0.04463466634066914
4972
+ ],
4973
+ [
4974
+ "event",
4975
+ 0.04103003595285452
4976
+ ],
4977
+ [
4978
+ "generation",
4979
+ 0.03031506455924498
4980
+ ],
4981
+ [
4982
+ "events",
4983
+ 0.02550365905000357
4984
+ ],
4985
+ [
4986
+ "text",
4987
+ 0.02506509404114226
4988
+ ],
4989
+ [
4990
+ "summaries",
4991
+ 0.02378208035356918
4992
+ ],
4993
+ [
4994
+ "evaluation",
4995
+ 0.019212297566739294
4996
+ ],
4997
+ [
4998
+ "language",
4999
+ 0.019125426968921885
5000
+ ],
5001
+ [
5002
+ "models",
5003
+ 0.017618393215262627
5004
+ ],
5005
+ [
5006
+ "human",
5007
+ 0.01735748851184384
5008
+ ]
5009
+ ],
5010
+ "6": [
5011
+ [
5012
+ "dialogue",
5013
+ 0.06089244707585951
5014
+ ],
5015
+ [
5016
+ "dialog",
5017
+ 0.03597820614896331
5018
+ ],
5019
+ [
5020
+ "systems",
5021
+ 0.0307669938018014
5022
+ ],
5023
+ [
5024
+ "conversational",
5025
+ 0.029069372456884048
5026
+ ],
5027
+ [
5028
+ "conversations",
5029
+ 0.023652620136262067
5030
+ ],
5031
+ [
5032
+ "responses",
5033
+ 0.020454076608578883
5034
+ ],
5035
+ [
5036
+ "models",
5037
+ 0.02025266031416148
5038
+ ],
5039
+ [
5040
+ "dialogues",
5041
+ 0.019275640364323436
5042
+ ],
5043
+ [
5044
+ "taskoriented",
5045
+ 0.018200470049419794
5046
+ ],
5047
+ [
5048
+ "human",
5049
+ 0.016591348583247546
5050
+ ]
5051
+ ],
5052
+ "7": [
5053
+ [
5054
+ "text",
5055
+ 0.045321788925605434
5056
+ ],
5057
+ [
5058
+ "adversarial",
5059
+ 0.0451013397350564
5060
+ ],
5061
+ [
5062
+ "attacks",
5063
+ 0.030782113308851645
5064
+ ],
5065
+ [
5066
+ "detection",
5067
+ 0.028559114807147335
5068
+ ],
5069
+ [
5070
+ "models",
5071
+ 0.023381237484127893
5072
+ ],
5073
+ [
5074
+ "detectors",
5075
+ 0.020983453744490618
5076
+ ],
5077
+ [
5078
+ "texts",
5079
+ 0.017672649444691407
5080
+ ],
5081
+ [
5082
+ "attack",
5083
+ 0.01672728437149775
5084
+ ],
5085
+ [
5086
+ "language",
5087
+ 0.01668134474716543
5088
+ ],
5089
+ [
5090
+ "model",
5091
+ 0.015548510142041026
5092
+ ]
5093
+ ],
5094
+ "8": [
5095
+ [
5096
+ "bias",
5097
+ 0.06150877587869747
5098
+ ],
5099
+ [
5100
+ "biases",
5101
+ 0.03463486759500172
5102
+ ],
5103
+ [
5104
+ "social",
5105
+ 0.033278171137863584
5106
+ ],
5107
+ [
5108
+ "gender",
5109
+ 0.028802419528210506
5110
+ ],
5111
+ [
5112
+ "models",
5113
+ 0.027125170267870653
5114
+ ],
5115
+ [
5116
+ "language",
5117
+ 0.02650527241268684
5118
+ ],
5119
+ [
5120
+ "content",
5121
+ 0.024780247012797206
5122
+ ],
5123
+ [
5124
+ "online",
5125
+ 0.018332418876652667
5126
+ ],
5127
+ [
5128
+ "toxicity",
5129
+ 0.017607821807315432
5130
+ ],
5131
+ [
5132
+ "data",
5133
+ 0.016850077986345965
5134
+ ]
5135
+ ],
5136
+ "9": [
5137
+ [
5138
+ "ethical",
5139
+ 0.020400710028308476
5140
+ ],
5141
+ [
5142
+ "artificial intelligence",
5143
+ 0.020117232695143986
5144
+ ],
5145
+ [
5146
+ "intelligence",
5147
+ 0.019943051853814658
5148
+ ],
5149
+ [
5150
+ "use",
5151
+ 0.01977415892036898
5152
+ ],
5153
+ [
5154
+ "artificial",
5155
+ 0.019392905070324748
5156
+ ],
5157
+ [
5158
+ "generative",
5159
+ 0.019067922761475866
5160
+ ],
5161
+ [
5162
+ "social",
5163
+ 0.017485097835642584
5164
+ ],
5165
+ [
5166
+ "concerns",
5167
+ 0.016979441190608267
5168
+ ],
5169
+ [
5170
+ "systems",
5171
+ 0.01609218601314941
5172
+ ],
5173
+ [
5174
+ "language",
5175
+ 0.015192507131134719
5176
+ ]
5177
+ ],
5178
+ "10": [
5179
+ [
5180
+ "education",
5181
+ 0.04223278545779533
5182
+ ],
5183
+ [
5184
+ "students",
5185
+ 0.026923636191638636
5186
+ ],
5187
+ [
5188
+ "programming",
5189
+ 0.026912279996616887
5190
+ ],
5191
+ [
5192
+ "educational",
5193
+ 0.026147734336790903
5194
+ ],
5195
+ [
5196
+ "questions",
5197
+ 0.026117656027513248
5198
+ ],
5199
+ [
5200
+ "student",
5201
+ 0.02535846851453436
5202
+ ],
5203
+ [
5204
+ "assessments",
5205
+ 0.024244594833435103
5206
+ ],
5207
+ [
5208
+ "exam",
5209
+ 0.023846352412897714
5210
+ ],
5211
+ [
5212
+ "course",
5213
+ 0.02254614359792551
5214
+ ],
5215
+ [
5216
+ "learning",
5217
+ 0.022542153272257715
5218
+ ]
5219
+ ],
5220
+ "11": [
5221
+ [
5222
+ "privacy",
5223
+ 0.07774691933665064
5224
+ ],
5225
+ [
5226
+ "private",
5227
+ 0.06437790534803121
5228
+ ],
5229
+ [
5230
+ "federated",
5231
+ 0.04079568951095784
5232
+ ],
5233
+ [
5234
+ "attacks",
5235
+ 0.029613296626096908
5236
+ ],
5237
+ [
5238
+ "models",
5239
+ 0.028967925641988922
5240
+ ],
5241
+ [
5242
+ "data",
5243
+ 0.02651018514444028
5244
+ ],
5245
+ [
5246
+ "language",
5247
+ 0.022676897706425742
5248
+ ],
5249
+ [
5250
+ "large",
5251
+ 0.01919881200772238
5252
+ ],
5253
+ [
5254
+ "training",
5255
+ 0.018437364187778
5256
+ ],
5257
+ [
5258
+ "learning",
5259
+ 0.01825444577635935
5260
+ ]
5261
+ ],
5262
+ "12": [
5263
+ [
5264
+ "speech",
5265
+ 0.10050473981996193
5266
+ ],
5267
+ [
5268
+ "audio",
5269
+ 0.06591588897799411
5270
+ ],
5271
+ [
5272
+ "recognition",
5273
+ 0.03740298847730898
5274
+ ],
5275
+ [
5276
+ "speaker",
5277
+ 0.037220870721205786
5278
+ ],
5279
+ [
5280
+ "spoken",
5281
+ 0.030652923449979396
5282
+ ],
5283
+ [
5284
+ "model",
5285
+ 0.025861917897484234
5286
+ ],
5287
+ [
5288
+ "error",
5289
+ 0.024935325651539324
5290
+ ],
5291
+ [
5292
+ "automatic speech",
5293
+ 0.024736505021172816
5294
+ ],
5295
+ [
5296
+ "language",
5297
+ 0.022010405219095752
5298
+ ],
5299
+ [
5300
+ "acoustic",
5301
+ 0.021156263314669275
5302
+ ]
5303
+ ],
5304
+ "13": [
5305
+ [
5306
+ "materials",
5307
+ 0.07014437417930033
5308
+ ],
5309
+ [
5310
+ "chemistry",
5311
+ 0.03453309097179555
5312
+ ],
5313
+ [
5314
+ "chemical",
5315
+ 0.033179570117528
5316
+ ],
5317
+ [
5318
+ "molecular",
5319
+ 0.020033426843505276
5320
+ ],
5321
+ [
5322
+ "model",
5323
+ 0.020002043323354552
5324
+ ],
5325
+ [
5326
+ "models",
5327
+ 0.018931671613857035
5328
+ ],
5329
+ [
5330
+ "synthesis",
5331
+ 0.018468571337889532
5332
+ ],
5333
+ [
5334
+ "properties",
5335
+ 0.018238218215857603
5336
+ ],
5337
+ [
5338
+ "learning",
5339
+ 0.01735271823562577
5340
+ ],
5341
+ [
5342
+ "language",
5343
+ 0.017297786522995746
5344
+ ]
5345
+ ],
5346
+ "14": [
5347
+ [
5348
+ "recommendation",
5349
+ 0.11274389068047955
5350
+ ],
5351
+ [
5352
+ "user",
5353
+ 0.04807986982371052
5354
+ ],
5355
+ [
5356
+ "item",
5357
+ 0.03913383666004485
5358
+ ],
5359
+ [
5360
+ "reviews",
5361
+ 0.029350666110090316
5362
+ ],
5363
+ [
5364
+ "news",
5365
+ 0.02928244550634868
5366
+ ],
5367
+ [
5368
+ "personalized",
5369
+ 0.028081085462225323
5370
+ ],
5371
+ [
5372
+ "recommendations",
5373
+ 0.027288696393097875
5374
+ ],
5375
+ [
5376
+ "recommender",
5377
+ 0.026265741702695158
5378
+ ],
5379
+ [
5380
+ "interests",
5381
+ 0.025748400299566678
5382
+ ],
5383
+ [
5384
+ "indexing",
5385
+ 0.02520874362719786
5386
+ ]
5387
+ ],
5388
+ "15": [
5389
+ [
5390
+ "financial",
5391
+ 0.09743681065174777
5392
+ ],
5393
+ [
5394
+ "sentiment",
5395
+ 0.0391096768787163
5396
+ ],
5397
+ [
5398
+ "stock",
5399
+ 0.034107194520419735
5400
+ ],
5401
+ [
5402
+ "data",
5403
+ 0.03324355670854176
5404
+ ],
5405
+ [
5406
+ "market",
5407
+ 0.030030898554573335
5408
+ ],
5409
+ [
5410
+ "finance",
5411
+ 0.02816268892115391
5412
+ ],
5413
+ [
5414
+ "expectations",
5415
+ 0.025018551686463324
5416
+ ],
5417
+ [
5418
+ "social media",
5419
+ 0.02283496030447737
5420
+ ],
5421
+ [
5422
+ "media",
5423
+ 0.022116765433314804
5424
+ ],
5425
+ [
5426
+ "models",
5427
+ 0.02172792507979872
5428
+ ]
5429
+ ],
5430
+ "16": [
5431
+ [
5432
+ "game",
5433
+ 0.11865030538282041
5434
+ ],
5435
+ [
5436
+ "games",
5437
+ 0.062194153563308326
5438
+ ],
5439
+ [
5440
+ "state",
5441
+ 0.03128335229564471
5442
+ ],
5443
+ [
5444
+ "language",
5445
+ 0.02619798312596649
5446
+ ],
5447
+ [
5448
+ "strategies",
5449
+ 0.025503893678639703
5450
+ ],
5451
+ [
5452
+ "chess",
5453
+ 0.02476548547865156
5454
+ ],
5455
+ [
5456
+ "strategic",
5457
+ 0.02422782448541941
5458
+ ],
5459
+ [
5460
+ "levels",
5461
+ 0.023191313600120337
5462
+ ],
5463
+ [
5464
+ "competition",
5465
+ 0.021524474187506522
5466
+ ],
5467
+ [
5468
+ "play",
5469
+ 0.020043181418797976
5470
+ ]
5471
+ ],
5472
+ "17": [
5473
+ [
5474
+ "legal",
5475
+ 0.17205155854875812
5476
+ ],
5477
+ [
5478
+ "law",
5479
+ 0.02867700085654158
5480
+ ],
5481
+ [
5482
+ "argumentative",
5483
+ 0.02819541990639962
5484
+ ],
5485
+ [
5486
+ "court",
5487
+ 0.025184977454521355
5488
+ ],
5489
+ [
5490
+ "standards",
5491
+ 0.024670992418099665
5492
+ ],
5493
+ [
5494
+ "legal reasoning",
5495
+ 0.02308221995100163
5496
+ ],
5497
+ [
5498
+ "relevant",
5499
+ 0.021501095220146243
5500
+ ],
5501
+ [
5502
+ "language",
5503
+ 0.02096923504925563
5504
+ ],
5505
+ [
5506
+ "model",
5507
+ 0.02085803811938856
5508
+ ],
5509
+ [
5510
+ "performance",
5511
+ 0.019601268752695265
5512
+ ]
5513
+ ],
5514
+ "18": [
5515
+ [
5516
+ "metadata",
5517
+ 0.047144538817116215
5518
+ ],
5519
+ [
5520
+ "language",
5521
+ 0.029342461291433596
5522
+ ],
5523
+ [
5524
+ "keyphrase",
5525
+ 0.02689903003273484
5526
+ ],
5527
+ [
5528
+ "large",
5529
+ 0.025946130587409202
5530
+ ],
5531
+ [
5532
+ "log",
5533
+ 0.024651742390499654
5534
+ ],
5535
+ [
5536
+ "data",
5537
+ 0.02456711742529687
5538
+ ],
5539
+ [
5540
+ "text",
5541
+ 0.023121171159167515
5542
+ ],
5543
+ [
5544
+ "user",
5545
+ 0.023016042769127224
5546
+ ],
5547
+ [
5548
+ "scientific",
5549
+ 0.022161149705831197
5550
+ ],
5551
+ [
5552
+ "intents",
5553
+ 0.02178860522111458
5554
+ ]
5555
+ ]
5556
+ }
5557
+ }
5558
+ }