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"title": "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
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"title": "Proximal Policy Optimization Algorithms"
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"title": "BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension"
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"title": "Training language models to follow instructions with human feedback"
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"title": "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
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"title": "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles"
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"title": "Large Language Models are Zero-Shot Reasoners"
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"title": "OPT: Open Pre-trained Transformer Language Models"
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"title": "Dense Passage Retrieval for Open-Domain Question Answering"
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"title": "BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models"
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"title": "The Curious Case of Neural Text Degeneration"
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"title": "Adding Conditional Control to Text-to-Image Diffusion Models"
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"title": "Measuring Massive Multitask Language Understanding"
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"title": "Scaling Instruction-Finetuned Language Models"
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"title": "Deep Reinforcement Learning from Human Preferences"
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"title": "Visual Instruction Tuning"
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"title": "Sparks of Artificial General Intelligence: Early experiments with GPT-4"
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"title": "Language Models as Knowledge Bases?"
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"title": "HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering"
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"title": "Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks"
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"title": "PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization"
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"title": "REALM: Retrieval-Augmented Language Model Pre-Training"
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"title": "The Pile: An 800GB Dataset of Diverse Text for Language Modeling"
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"title": "ReAct: Synergizing Reasoning and Acting in Language Models"
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"title": "Sequence Level Training with Recurrent Neural Networks"
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"title": "Learning to summarize from human feedback"
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"title": "Extracting Training Data from Large Language Models"
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"title": "Don\u2019t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization"
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"title": "Hierarchical Neural Story Generation"
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"title": "TruthfulQA: Measuring How Models Mimic Human Falsehoods"
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"title": "A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity"
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"title": "Tree of Thoughts: Deliberate Problem Solving with Large Language Models"
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"title": "Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned"
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"title": "Self-Refine: Iterative Refinement with Self-Feedback"
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"title": "Lost in the Middle: How Language Models Use Long Contexts"
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"title": "Locating and Editing Factual Associations in GPT"
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"title": "Plug and Play Language Models: A Simple Approach to Controlled Text Generation"
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"title": "From Recognition to Cognition: Visual Commonsense Reasoning"
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"title": "Ethical and social risks of harm from Language Models"
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"title": "How Much Knowledge Can You Pack into the Parameters of a Language Model?"
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"title": "SimVLM: Simple Visual Language Model Pretraining with Weak Supervision"
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"title": "Evaluating the Factual Consistency of Abstractive Text Summarization"
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"title": "The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only"
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"arxivId": "2211.09085",
"title": "Galactica: A Large Language Model for Science"
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"title": "SummEval: Re-evaluating Summarization Evaluation"
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"title": "LIMA: Less Is More for Alignment"
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"title": "Transformer Feed-Forward Layers Are Key-Value Memories"
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"arxivId": "2207.05221",
"title": "Language Models (Mostly) Know What They Know"
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"title": "Retrieval Augmentation Reduces Hallucination in Conversation"
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"title": "Neural Text Generation with Unlikelihood Training"
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"title": "ELI5: Long Form Question Answering"
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"arxivId": "2107.06499",
"title": "Deduplicating Training Data Makes Language Models Better"
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"arxivId": "2304.03277",
"title": "Instruction Tuning with GPT-4"
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"title": "Data and its (dis)contents: A survey of dataset development and use in machine learning research"
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"title": "Measuring and Narrowing the Compositionality Gap in Language Models"
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"title": "Asking and Answering Questions to Evaluate the Factual Consistency of Summaries"
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"arxivId": "2002.06353",
"title": "UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation"
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"title": "Editing Factual Knowledge in Language Models"
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"arxivId": "2305.01937",
"title": "Can Large Language Models Be an Alternative to Human Evaluations?"
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"title": "FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation"
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"arxivId": "2302.00093",
"title": "Large Language Models Can Be Easily Distracted by Irrelevant Context"
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"title": "Mass-Editing Memory in a Transformer"
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"title": "Factual Probing Is [MASK]: Learning vs. Learning to Recall"
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"title": "Improving Factuality and Reasoning in Language Models through Multiagent Debate"
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"title": "C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models"
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"title": "FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization"
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"2302.00083": {
"arxivId": "2302.00083",
"title": "In-Context Retrieval-Augmented Language Models"
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"title": "Breaking the Softmax Bottleneck: A High-Rank RNN Language Model"
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"2108.11896": {
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"title": "A Survey on Automated Fact-Checking"
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"2212.10511": {
"arxivId": "2212.10511",
"title": "When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories"
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"arxivId": "2308.10792",
"title": "Instruction Tuning for Large Language Models: A Survey"
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"2303.04048": {
"arxivId": "2303.04048",
"title": "Is ChatGPT a Good NLG Evaluator? A Preliminary Study"
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"2301.13848": {
"arxivId": "2301.13848",
"title": "Benchmarking Large Language Models for News Summarization"
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"2309.05463": {
"arxivId": "2309.05463",
"title": "Textbooks Are All You Need II: phi-1.5 technical report"
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"2306.05424": {
"arxivId": "2306.05424",
"title": "Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models"
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"arxivId": "2004.14373",
"title": "ToTTo: A Controlled Table-To-Text Generation Dataset"
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"2306.03341": {
"arxivId": "2306.03341",
"title": "Inference-Time Intervention: Eliciting Truthful Answers from a Language Model"
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"arxivId": "2111.09525",
"title": "SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization"
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"arxivId": "2210.02406",
"title": "Decomposed Prompting: A Modular Approach for Solving Complex Tasks"
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"2104.13346": {
"arxivId": "2104.13346",
"title": "Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics"
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"arxivId": "2303.08896",
"title": "SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models"
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"2209.10063": {
"arxivId": "2209.10063",
"title": "Generate rather than Retrieve: Large Language Models are Strong Context Generators"
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"2310.01798": {
"arxivId": "2310.01798",
"title": "Large Language Models Cannot Self-Correct Reasoning Yet"
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"2211.08411": {
"arxivId": "2211.08411",
"title": "Large Language Models Struggle to Learn Long-Tail Knowledge"
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"2212.10509": {
"arxivId": "2212.10509",
"title": "Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions"
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"2206.06520": {
"arxivId": "2206.06520",
"title": "Memory-Based Model Editing at Scale"
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"2309.05922": {
"arxivId": "2309.05922",
"title": "A Survey of Hallucination in Large Foundation Models"
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"2212.03827": {
"arxivId": "2212.03827",
"title": "Discovering Latent Knowledge in Language Models Without Supervision"
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"arxivId": "2210.15097",
"title": "Contrastive Decoding: Open-ended Text Generation as Optimization"
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"2305.11738": {
"arxivId": "2305.11738",
"title": "CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing"
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"arxivId": "2212.09597",
"title": "Reasoning with Language Model Prompting: A Survey"
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"2212.12017": {
"arxivId": "2212.12017",
"title": "OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization"
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"2103.12693": {
"arxivId": "2103.12693",
"title": "QuestEval: Summarization Asks for Fact-based Evaluation"
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"2206.05802": {
"arxivId": "2206.05802",
"title": "Self-critiquing models for assisting human evaluators"
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"1909.03242": {
"arxivId": "1909.03242",
"title": "MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims"
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"2306.13063": {
"arxivId": "2306.13063",
"title": "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"
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"2304.13734": {
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"title": "The Internal State of an LLM Knows When its Lying"
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"1906.06755": {
"arxivId": "1906.06755",
"title": "Theoretical Limitations of Self-Attention in Neural Sequence Models"
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"2210.08726": {
"arxivId": "2210.08726",
"title": "RARR: Researching and Revising What Language Models Say, Using Language Models"
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"title": "ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning"
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"title": "Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases"
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"title": "Towards Debiasing Sentence Representations"
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"title": "MEGA: Multilingual Evaluation of Generative AI"
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"title": "How Can We Accelerate Progress Towards Human-like Linguistic Generalization?"
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"title": "\u201cI\u2019m sorry to hear that\u201d: Finding New Biases in Language Models with a Holistic Descriptor Dataset"
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"title": "An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models"
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"title": "Sustainable Modular Debiasing of Language Models"
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"title": "Explaining NLP Models via Minimal Contrastive Editing (MiCE)"
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"title": "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering"
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"title": "Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics"
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"title": "Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text"
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"title": "Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer"
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"title": "A Controllable Model of Grounded Response Generation"
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"title": "PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction"
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"title": "Unmasking the Mask - Evaluating Social Biases in Masked Language Models"
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"title": "Improving Compositional Generalization in Semantic Parsing"
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"title": "POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection"
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"title": "DialFact: A Benchmark for Fact-Checking in Dialogue"
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"title": "Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation"
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"title": "Perturbation Augmentation for Fairer NLP"
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"title": "NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender Neutral Alternatives"
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"title": "Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets"
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"title": "Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection"
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"title": "Does Putting a Linguist in the Loop Improve NLU Data Collection?"
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"title": "Copyright Violations and Large Language Models"
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"title": "Theory of Mind for Multi-Agent Collaboration via Large Language Models"
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"title": "Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA"
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"title": "Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP"
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"title": "Quantified Reproducibility Assessment of NLP Results"
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"title": "Retrieval-guided Counterfactual Generation for QA"
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"title": "A Trip Towards Fairness: Bias and De-Biasing in Large Language Models"
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"title": "Grep-BiasIR: A Dataset for Investigating Gender Representation Bias in Information Retrieval Results"
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"title": "Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases"
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"title": "WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models"
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"title": "Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition"
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"title": "Fairness in Language Models Beyond English: Gaps and Challenges"
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"title": "ADEPT: A DEbiasing PrompT Framework"
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"title": "CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation"
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"title": "Specialist or Generalist? Instruction Tuning for Specific NLP Tasks"
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"title": "CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models"
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"title": "Learning with Instance Bundles for Reading Comprehension"
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} |