arxiv_id stringlengths 9 12 | paper stringlengths 2.65k 90.8k | targets sequencelengths 4 4 | targets_idx sequencelengths 4 4 | cite_corpus_id_map stringlengths 108 31.6k |
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2405.08839 | <|paper_start|> Title: PromptMind Team at EHRSQL-2024: Improving Reliability of SQL Generation using Ensemble LLMs
Abstract: PromptMind Team at EHRSQL-2024: Improving Reliability of SQL Generation using Ensemble LLMs: This paper presents our approach to the EHRSQL-2024 shared task, which aims to develop a reliable Text... | [
"<|reference_start|> Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning: A significant amount of the world's knowledge is stored in relational databases. However, the ability for users to retrieve facts from a database is limited due to a lack of understanding of query languag... | [
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2311.15838 | <|paper_start|> Title: Utilizing Explainability Techniques for Reinforcement Learning Model Assurance
Abstract: Utilizing Explainability Techniques for Reinforcement Learning Model Assurance: Explainable Reinforcement Learning (XRL) can provide transparency into the decision-making process of a Deep Reinforcement Learn... | [
"<|reference_start|> Mastering the game of Go with deep neural networks and tree search: <|reference_end|>",
"<|reference_start|> Magnetic control of tokamak plasmas through deep reinforcement learning: <|reference_end|>",
"<|reference_start|> Terminal Adaptive Guidance for Autonomous Hypersonic Strike Weapon... | [
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2001.11973 | <|paper_start|> Title: Unsatisfiability Proofs for Weight 16 Codewords in Lam's Problem
Abstract: Unsatisfiability Proofs for Weight 16 Codewords in Lam's Problem: In the 1970s and 1980s, searches performed by L. Carter, C. Lam, L. Thiel, and S. Swiercz showed that projective planes of order ten with weight 16 codeword... | [
"<|reference_start|> The Search for a Finite Projective Plane of Order 10: When I was a graduate student looking for a thesis topic, Herbert Ryser advised me not to work on the projective plane of order 10. Even though he was extremely interested in this subject, he believed that it was too difficult and that I mig... | [
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2406.15977 | <|paper_start|> Title: A Bayesian framework for spectral reprojection
Abstract: A Bayesian framework for spectral reprojection: Fourier partial sum approximations yield exponential accuracy for smooth and periodic functions, but produce the infamous Gibbs phenomenon for non-periodic ones. Spectral reprojection resolves... | [
"<|reference_start|> {SAR: SARμμμ κ°μ₯ ν° λ¬Έμ μ μ κ²½κ³μ λΆκ·Όμμ μ€ν¨ν΄(Speckle)μ‘μμ μ΄λ»κ² μ€μ΄λλ νλ κ²μ΄λ€. λ³Έ λ
Όλ¬Έμμλ μ μν λ°©λ²μ μ΄μ©νμ¬ κ²½κ³μ μ 보쑴ν μ μλ ν¨κ³Όμ μΈ νν°λ₯Ό κ°λ°νκ³ μ νλ€. μ€ν¨ν΄ μ‘μμ μ€μ΄λ©΄μ μμ§ μμμ λν λΈλ¬λ§ μλ μμμ μΆμΆνκΈ° μνμ¬ μ¨μ΄λΈλ κΈ°λ°μ sigma νν°λ₯Ό μ μ©νμλ€. μ€ν κ²°κ³Ό μμ§μ 보μ λν λΈλ¬λ§μ μ€μΈ μΆλ ₯ μμμ ꡬμ±νμλ€. μ μν λ°©λ²μ λ―ΈλμΈ νν°μ λΉκ΅ν κ²°κ³Ό, μ€ν¨ν΄ μ‘μμ ν¨κ³Όμ μΌλ‘ μ κ±°ν μ°μν μμμ μ»μ μ μμλ€. γAny class... | [
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1705.07051 | <|paper_start|> Title: Speeding up Memory-based Collaborative Filtering with Landmarks
Abstract: Speeding up Memory-based Collaborative Filtering with Landmarks: Recommender systems play an important role in many scenarios where users are overwhelmed with too many choices to make. In this context, Collaborative Filteri... | [
"<|reference_start|> Fast embedding of sparse music similarity graphs: This paper applies fast sparse multidimensional scaling (MDS) to a large graph of music similarity, with 267K vertices that represent artists, albums, and tracks; and 3.22M edges that represent similarity between those entities. Once vertices ar... | [
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] | {"<|cite_1|>": "ss-1704554", "<|cite_3|>": "ss-692526", "<|cite_4|>": "ss-1230149", "<|cite_5|>": "ss-1262630", "<|cite_6|>": "ss-678252", "<|cite_8|>": "ss-1051886", "<|cite_10|>": "ss-1230149", "<|cite_11|>": "ss-1704555", "<|cite_12|>": "ss-1148490", "<|cite_13|>": "ss-1266104", "<|cite_14|>": "ss-1266104", "<|cite_... |
2209.13822 | <|paper_start|> Title: TokenFlow: Rethinking Fine-grained Cross-modal Alignment in Vision-Language Retrieval
Abstract: TokenFlow: Rethinking Fine-grained Cross-modal Alignment in Vision-Language Retrieval: Most existing methods in vision-language retrieval match two modalities by either comparing their global feature v... | [
"<|reference_start|> Large-Scale Adversarial Training for Vision-and-Language Representation Learning: We present VILLA, the first known effort on large-scale adversarial training for vision-and-language (V+L) representation learning. VILLA consists of two training stages: (i) task-agnostic adversarial pre-training... | [
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1311.6647 | "<|paper_start|> Title: DoF Analysis of the K-user MISO Broadcast Channel with Alternating CSIT\nAbs(...TRUNCATED) | ["<|reference_start|> Degrees of Freedom of Time Correlated MISO Broadcast Channel with Delayed CSIT(...TRUNCATED) | [
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1712.09708-1 | " <|cite_start|> (Reference: The developing visual brain: 1. Background context 2. Paediatric vision(...TRUNCATED) | ["<|reference_start|> Supervised Learning of Universal Sentence Representations from Natural Languag(...TRUNCATED) | [
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1902.02823 | "<|paper_start|> Title: Compatible Natural Gradient Policy Search\nAbstract: Compatible Natural Grad(...TRUNCATED) | ["<|reference_start|> Trust Region Policy Optimization: We describe an iterative procedure for optim(...TRUNCATED) | [
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2309.04862 | "<|paper_start|> Title: Distributional Data Augmentation Methods for Low Resource Language\nAbstract(...TRUNCATED) | ["<|reference_start|> Text Data Augmentation for Deep Learning: <|reference_end|>","<|reference_sta(...TRUNCATED) | [
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