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| "title": "Language Models are Few-Shot Learners" |
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| "arxivId": "1910.10683", |
| "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": "High-Resolution Image Synthesis with Latent Diffusion Models" |
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| "title": "BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension" |
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| "arxivId": "2203.02155", |
| "title": "Training language models to follow instructions with human feedback" |
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| "arxivId": "1506.02142", |
| "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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| "arxivId": "2204.02311", |
| "title": "PaLM: Scaling Language Modeling with Pathways" |
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| "title": "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks" |
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| "arxivId": "2004.05150", |
| "title": "Longformer: The Long-Document Transformer" |
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| "arxivId": "2001.08361", |
| "title": "Scaling Laws for Neural Language Models" |
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| "arxivId": "2205.11916", |
| "title": "Large Language Models are Zero-Shot Reasoners" |
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| "arxivId": "2205.01068", |
| "title": "OPT: Open Pre-trained Transformer Language Models" |
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| "arxivId": "2004.04906", |
| "title": "Dense Passage Retrieval for Open-Domain Question Answering" |
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| "arxivId": "2301.12597", |
| "title": "BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models" |
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| "arxivId": "1904.09751", |
| "title": "The Curious Case of Neural Text Degeneration" |
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| "arxivId": "2302.05543", |
| "title": "Adding Conditional Control to Text-to-Image Diffusion Models" |
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| "arxivId": "2009.03300", |
| "title": "Measuring Massive Multitask Language Understanding" |
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| "arxivId": "2210.11416", |
| "title": "Scaling Instruction-Finetuned Language Models" |
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| "arxivId": "1706.03741", |
| "title": "Deep Reinforcement Learning from Human Preferences" |
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| "arxivId": "2304.08485", |
| "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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| "arxivId": "1809.09600", |
| "title": "HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering" |
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| "arxivId": "1506.03099", |
| "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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| "arxivId": "2101.00027", |
| "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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| "arxivId": "2305.10601", |
| "title": "Tree of Thoughts: Deliberate Problem Solving with Large Language Models" |
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| "arxivId": "1905.09418", |
| "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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| "arxivId": "1811.10830", |
| "title": "From Recognition to Cognition: Visual Commonsense Reasoning" |
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| "arxivId": "2112.04359", |
| "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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| "arxivId": "2108.10904", |
| "title": "SimVLM: Simple Visual Language Model Pretraining with Weak Supervision" |
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| "arxivId": "1910.12840", |
| "title": "Evaluating the Factual Consistency of Abstractive Text Summarization" |
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| "arxivId": "2306.01116", |
| "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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| "arxivId": "2007.12626", |
| "title": "SummEval: Re-evaluating Summarization Evaluation" |
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| "arxivId": "2305.11206", |
| "title": "LIMA: Less Is More for Alignment" |
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| "arxivId": "2012.14913", |
| "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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| "title": "Deduplicating Training Data Makes Language Models Better" |
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| "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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| "arxivId": "2210.03350", |
| "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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| "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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| "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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| "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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| "arxivId": "2305.14325", |
| "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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| "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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| "title": "A Survey on Automated Fact-Checking" |
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| "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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| "arxivId": "2303.04048", |
| "title": "Is ChatGPT a Good NLG Evaluator? A Preliminary Study" |
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| "title": "Benchmarking Large Language Models for News Summarization" |
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| "title": "Textbooks Are All You Need II: phi-1.5 technical report" |
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| "title": "Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models" |
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| "title": "ToTTo: A Controlled Table-To-Text Generation Dataset" |
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| "arxivId": "2306.03341", |
| "title": "Inference-Time Intervention: Eliciting Truthful Answers from a Language Model" |
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| "title": "SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization" |
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| "title": "Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics" |
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| "title": "SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models" |
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| "title": "Generate rather than Retrieve: Large Language Models are Strong Context Generators" |
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| "title": "Large Language Models Cannot Self-Correct Reasoning Yet" |
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| "arxivId": "2211.08411", |
| "title": "Large Language Models Struggle to Learn Long-Tail Knowledge" |
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| "arxivId": "2212.10509", |
| "title": "Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions" |
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| "arxivId": "2206.06520", |
| "title": "Memory-Based Model Editing at Scale" |
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| "arxivId": "2309.05922", |
| "title": "A Survey of Hallucination in Large Foundation Models" |
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| "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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| "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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| "arxivId": "2212.12017", |
| "title": "OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization" |
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| "arxivId": "2103.12693", |
| "title": "QuestEval: Summarization Asks for Fact-based Evaluation" |
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| "arxivId": "2206.05802", |
| "title": "Self-critiquing models for assisting human evaluators" |
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| "arxivId": "1909.03242", |
| "title": "MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims" |
| }, |
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| "arxivId": "2306.13063", |
| "title": "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs" |
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| "arxivId": "2304.13734", |
| "title": "The Internal State of an LLM Knows When its Lying" |
| }, |
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| "arxivId": "1906.06755", |
| "title": "Theoretical Limitations of Self-Attention in Neural Sequence Models" |
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| "arxivId": "2210.08726", |
| "title": "RARR: Researching and Revising What Language Models Say, Using Language Models" |
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| "arxivId": "2308.05374", |
| "title": "Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment" |
| }, |
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| "arxivId": "2305.13172", |
| "title": "Editing Large Language Models: Problems, Methods, and Opportunities" |
| }, |
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| "arxivId": "2305.13534", |
| "title": "How Language Model Hallucinations Can Snowball" |
| }, |
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| "arxivId": "2304.09848", |
| "title": "Evaluating Verifiability in Generative Search Engines" |
| }, |
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| "arxivId": "2303.14070", |
| "title": "ChatDoctor: A Medical Chat Model Fine-tuned on LLaMA Model using Medical Domain Knowledge" |
| }, |
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| "arxivId": "2309.12288", |
| "title": "The Reversal Curse: LLMs trained on \"A is B\" fail to learn \"B is A\"" |
| }, |
| "1905.13322": { |
| "arxivId": "1905.13322", |
| "title": "Assessing The Factual Accuracy of Generated Text" |
| }, |
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| "arxivId": "2112.08542", |
| "title": "QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization" |
| }, |
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| "arxivId": "2206.04624", |
| "title": "Factuality Enhanced Language Models for Open-Ended Text Generation" |
| }, |
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| "arxivId": "2301.13379", |
| "title": "Faithful Chain-of-Thought Reasoning" |
| }, |
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| "arxivId": "2308.03188", |
| "title": "Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies" |
| }, |
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| "arxivId": "2004.05773", |
| "title": "Generating Fact Checking Explanations" |
| }, |
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| "arxivId": "2112.12870", |
| "title": "Measuring Attribution in Natural Language Generation Models" |
| }, |
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| "arxivId": "2005.03642", |
| "title": "On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation" |
| }, |
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| "arxivId": "2004.00345", |
| "title": "Editable Neural Networks" |
| }, |
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| "arxivId": "2102.09130", |
| "title": "Entity-level Factual Consistency of Abstractive Text Summarization" |
| }, |
| "2305.14552": { |
| "arxivId": "2305.14552", |
| "title": "Sources of Hallucination by Large Language Models on Inference Tasks" |
| }, |
| "1908.10090": { |
| "arxivId": "1908.10090", |
| "title": "On NMT Search Errors and Model Errors: Cat Got Your Tongue?" |
| }, |
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| "arxivId": "1908.04942", |
| "title": "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation" |
| }, |
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| "arxivId": "2306.14565", |
| "title": "Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning" |
| }, |
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| "arxivId": "2104.04302", |
| "title": "Annotating and Modeling Fine-grained Factuality in Summarization" |
| }, |
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| "arxivId": "2103.15025", |
| "title": "On Hallucination and Predictive Uncertainty in Conditional Language Generation" |
| }, |
| "2305.14795": { |
| "arxivId": "2305.14795", |
| "title": "MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions" |
| }, |
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| "arxivId": "2301.00303", |
| "title": "Rethinking with Retrieval: Faithful Large Language Model Inference" |
| }, |
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| "arxivId": "2010.05478", |
| "title": "Evaluating Factuality in Generation with Dependency-level Entailment" |
| }, |
| "2307.13528": { |
| "arxivId": "2307.13528", |
| "title": "FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios" |
| }, |
| "2305.14739": { |
| "arxivId": "2305.14739", |
| "title": "Trusting Your Evidence: Hallucinate Less with Context-aware Decoding" |
| }, |
| "2104.08202": { |
| "arxivId": "2104.08202", |
| "title": "Q^{2}: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering" |
| }, |
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| "arxivId": "2010.02650", |
| "title": "If Beam Search Is the Answer, What Was the Question?" |
| }, |
| "2010.06189": { |
| "arxivId": "2010.06189", |
| "title": "X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models" |
| }, |
| "2301.09785": { |
| "arxivId": "2301.09785", |
| "title": "Transformer-Patcher: One Mistake worth One Neuron" |
| }, |
| "2310.07521": { |
| "arxivId": "2310.07521", |
| "title": "Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity" |
| }, |
| "2310.03214": { |
| "arxivId": "2310.03214", |
| "title": "FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation" |
| }, |
| "2211.05110": { |
| "arxivId": "2211.05110", |
| "title": "Large Language Models with Controllable Working Memory" |
| }, |
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| "arxivId": "2104.08455", |
| "title": "Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding" |
| }, |
| "2305.15294": { |
| "arxivId": "2305.15294", |
| "title": "Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy" |
| }, |
| "2303.09540": { |
| "arxivId": "2303.09540", |
| "title": "SemDeDup: Data-efficient learning at web-scale through semantic deduplication" |
| }, |
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| "arxivId": "2207.13332", |
| "title": "RealTime QA: What's the Answer Right Now?" |
| }, |
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| "arxivId": "2204.06092", |
| "title": "ASQA: Factoid Questions Meet Long-Form Answers" |
| }, |
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| "arxivId": "2305.03268", |
| "title": "Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework" |
| }, |
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| "arxivId": "2307.03987", |
| "title": "A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation" |
| }, |
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| "arxivId": "1911.01214", |
| "title": "A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking" |
| }, |
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| "title": "Detecting and Mitigating Hallucinations in Multilingual Summarisation" |
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| "title": "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding" |
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| "title": "An Introduction to Variational Autoencoders" |
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| "title": "Large Language Models" |
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| "title": "A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models" |
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| "title": "Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting" |
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| "title": "Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics" |
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| "title": "Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection" |
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| "title": "Dynabench: Rethinking Benchmarking in NLP" |
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| "title": "Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP" |
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| "title": "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" |
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| "title": "Discovering Language Model Behaviors with Model-Written Evaluations" |
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| "title": "Bias and Fairness in Large Language Models: A Survey" |
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| "title": "Counterfactual Fairness in Text Classification through Robustness" |
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| "title": "Large pre-trained language models contain human-like biases of what is right and wrong to do" |
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| "title": "Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models" |
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| "arxivId": "2304.05613", |
| "title": "ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning" |
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| "arxivId": "2006.03955", |
| "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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| "arxivId": "2109.05052", |
| "title": "Entity-Based Knowledge Conflicts in Question Answering" |
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| "arxivId": "2303.12528", |
| "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": "WinoGrande" |
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| "arxivId": "2305.08283", |
| "title": "From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models" |
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| "arxivId": "1908.09369", |
| "title": "On Measuring and Mitigating Biased Inferences of Word Embeddings" |
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| "title": "RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models" |
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| "title": "Auditing large language models: a three-layered approach" |
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| "arxivId": "2305.12740", |
| "title": "Can We Edit Factual Knowledge by In-Context Learning?" |
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| "arxivId": "2205.12628", |
| "title": "Are Large Pre-Trained Language Models Leaking Your Personal Information?" |
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| "arxivId": "2101.09523", |
| "title": "Debiasing Pre-trained Contextualised Embeddings" |
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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": "Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection" |
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| "title": "Competency Problems: On Finding and Removing Artifacts in Language Data" |
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| "title": "How to Train BERT with an Academic Budget" |
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| "arxivId": "2106.14574", |
| "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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| "arxivId": "2005.00613", |
| "title": "A Controllable Model of Grounded Response Generation" |
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| "title": "Tailor: Generating and Perturbing Text with Semantic Controls" |
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| "title": "PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction" |
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| "arxivId": "2104.07496", |
| "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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| "arxivId": "2205.00619", |
| "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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| "arxivId": "2310.10701", |
| "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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| "arxivId": "2305.01633", |
| "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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| "arxivId": "2305.13862", |
| "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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| } |
