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| "title": "Language Models are Few-Shot Learners" |
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| "arxivId": "2103.00020", |
| "title": "Learning Transferable Visual Models From Natural Language Supervision" |
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| "title": "Intriguing properties of neural networks" |
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| "title": "Training language models to follow instructions with human feedback" |
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| "title": "GPT-4 Technical Report" |
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| "title": "GLUE: A multi-task benchmark and analysis platform for natural language understanding" |
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| "title": "Chain of Thought Prompting Elicits Reasoning in Large Language Models" |
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| "title": "Character-level Convolutional Networks for Text Classification" |
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| "title": "Evaluating Large Language Models Trained on Code" |
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| "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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| "title": "ConceptNet 5.5: An Open Multilingual Graph of General Knowledge" |
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| "title": "Training Verifiers to Solve Math Word Problems" |
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| "title": "Sparks of Artificial General Intelligence: Early experiments with GPT-4" |
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| "title": "Automated Hate Speech Detection and the Problem of Offensive Language" |
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| "title": "SuperGLUE: A stickier benchmark for general-purpose language understanding systems" |
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| "title": "TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension" |
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| "title": "HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering" |
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| "title": "Emergent Abilities of Large Language Models" |
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| "arxivId": "2303.18223", |
| "title": "A Survey of Large Language Models" |
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| "title": "HellaSwag: Can a Machine Really Finish Your Sentence?" |
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| "title": "Survey of Hallucination in Natural Language Generation" |
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| "title": "Extracting Training Data from Large Language Models" |
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| "title": "FEVER: a Large-scale Dataset for Fact Extraction and VERification" |
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| "title": "Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models" |
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| "title": "CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge" |
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| "title": "TruthfulQA: Measuring How Models Mimic Human Falsehoods" |
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| "title": "MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling" |
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| "title": "PIQA: Reasoning about Physical Commonsense in Natural Language" |
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| "arxivId": "2302.04023", |
| "title": "A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity" |
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| "title": "Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering" |
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| "title": "Seq2SQL: Generating structured queries from natural language using reinforcement learning" |
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| "title": "RealToxicityPrompts: Evaluating neural toxic degeneration in language models" |
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| "arxivId": "1811.01241", |
| "title": "Wizard of Wikipedia: Knowledge-Powered Conversational agents" |
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| "title": "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents" |
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| "title": "StereoSet: Measuring stereotypical bias in pretrained language models" |
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| "arxivId": "2112.04359", |
| "title": "Ethical and social risks of harm from Language Models" |
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| "title": "SemEval-2017 Task 4: Sentiment Analysis in Twitter" |
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| "title": "Predicting the type and target of offensive posts in social media" |
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| "title": "Ex Machina: Personal Attacks Seen at Scale" |
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| "title": "Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory" |
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| "title": "Compositional semantic parsing on semi-structured tables" |
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| "title": "ERASER: A Benchmark to Evaluate Rationalized NLP Models" |
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| "title": "CrowS-Pairs: A challenge dataset for measuring social biases in masked language models" |
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| "title": "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies" |
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| "title": "Language Models (Mostly) Know What They Know" |
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| "title": "HateXplain: A benchmark dataset for explainable hate speech detection" |
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| "arxivId": "2305.01210", |
| "title": "Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation" |
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| "arxivId": "1705.09899", |
| "title": "Understanding Abuse: A Typology of Abusive Language Detection Subtasks" |
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| "title": "Social bias frames: Reasoning about social and power implications of language" |
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| "arxivId": "1909.02164", |
| "title": "TabFact: A Large-scale Dataset for Table-based Fact Verification" |
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| "arxivId": "1705.05414", |
| "title": "Key-Value Retrieval Networks for Task-Oriented Dialogue" |
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| "arxivId": "1912.00582", |
| "title": "BLiMP: The Benchmark of Linguistic Minimal Pairs for English" |
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| "title": "Fact or Fiction: Verifying Scientific Claims" |
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| "arxivId": "2305.08322", |
| "title": "C-Eval: A multi-level multi-discipline chinese evaluation suite for foundation models" |
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| "title": "In-context Learning and Induction Heads" |
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| "title": "COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs" |
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| "title": "GeDi: Generative Discriminator Guided Sequence Generation" |
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| "title": "AGIEval: A human-centric benchmark for evaluating foundation models" |
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| "arxivId": "2301.00234", |
| "title": "A Survey for In-context Learning" |
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| "arxivId": "2303.08128", |
| "title": "ViperGPT: Visual Inference via Python Execution for Reasoning" |
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| "title": "ToTTo: A Controlled Table-To-Text Generation Dataset" |
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| "title": "Transformers as Soft Reasoners over Language" |
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| "arxivId": "2203.15827", |
| "title": "LinkBERT: Pretraining Language Models with Document Links" |
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| "title": "STaR: Bootstrapping Reasoning With Reasoning" |
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| "title": "UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models" |
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| "title": "Teaching models to express their uncertainty in words" |
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| "title": "HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data" |
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| "title": "XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning" |
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| "title": "D\u2019ya Like DAGs? A Survey on Structure Learning and Causal Discovery" |
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| "title": "Reasoning with Language Model Prompting: A Survey" |
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| "arxivId": "2210.03057", |
| "title": "Language Models are Multilingual Chain-of-Thought Reasoners" |
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| "title": "Social chemistry 101: Learning to reason about social and moral norms" |
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| "arxivId": "1908.06083", |
| "title": "Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack" |
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| "title": "LexGLUE: A Benchmark Dataset for Legal Language Understanding in English" |
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| "title": "Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning" |
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| "arxivId": "2106.01144", |
| "title": "Towards Emotional Support Dialog Systems" |
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| "arxivId": "1905.06933", |
| "title": "Dynamically Fused Graph Network for Multi-hop Reasoning" |
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| "arxivId": "2203.01054", |
| "title": "A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges" |
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| "arxivId": "2305.09645", |
| "title": "StructGPT: A General Framework for Large Language Model to Reason over Structured Data" |
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| "arxivId": "2005.00357", |
| "title": "Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research" |
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| "arxivId": "1902.06977", |
| "title": "Evaluating model calibration in classification" |
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| "title": "CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text" |
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| "title": "Binding Language Models in Symbolic Languages" |
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| "title": "CMMLU: Measuring massive multitask language understanding in Chinese" |
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| "title": "Sentiment Analysis in the Era of Large Language Models: A Reality Check" |
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| "title": "Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation" |
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| "title": "On the Planning Abilities of Large Language Models - A Critical Investigation" |
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| "title": "Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study" |
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| "title": "Reducing Conversational Agents\u2019 Overconfidence Through Linguistic Calibration" |
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| "title": "Measure and Improve Robustness in NLP Models: A Survey" |
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| "title": "FeTaQA: Free-form Table Question Answering" |
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| "title": "LILA: A Unified Benchmark for Mathematical Reasoning" |
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| "title": "Do large language models know what they don't know?" |
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| "title": "Truthful AI: Developing and governing AI that does not lie" |
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| "title": "NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks" |
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| "title": "On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark" |
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| "title": "Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases" |
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| "title": "Why Does ChatGPT Fall Short in Providing Truthful Answers?" |
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| "arxivId": "2201.12438", |
| "title": "Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey" |
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| "arxivId": "2101.06223", |
| "title": "LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning" |
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| "arxivId": "2205.05849", |
| "title": "e-CARE: a New Dataset for Exploring Explainable Causal Reasoning" |
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| "title": "MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction" |
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| "arxivId": "2305.07375", |
| "title": "Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation" |
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| "arxivId": "2202.04800", |
| "title": "The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning" |
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| "arxivId": "2303.14725", |
| "title": "Natural Language Reasoning, A Survey" |
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| "arxivId": "2012.09157", |
| "title": "LIREx: Augmenting Language Inference with Relevant Explanation" |
| }, |
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| "arxivId": "2305.16151", |
| "title": "Understanding the Capabilities of Large Language Models for Automated Planning" |
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| "arxivId": "2109.02738", |
| "title": "Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica" |
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| "arxivId": "2305.16837", |
| "title": "ChatGPT: A Study on its Utility for Ubiquitous Software Engineering Tasks" |
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| "title": "Diving Deep into Modes of Fact Hallucinations in Dialogue Systems" |
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| "arxivId": "2208.05358", |
| "title": "CLEVR-Math: A Dataset for Compositional Language, Visual and Mathematical Reasoning" |
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| "arxivId": "2212.10923", |
| "title": "Language Models as Inductive Reasoners" |
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| "arxivId": "2209.08207", |
| "title": "APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations" |
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| "arxivId": "2205.11097", |
| "title": "A Fine-grained Interpretability Evaluation Benchmark for Neural NLP" |
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| "arxivId": "2205.10228", |
| "title": "You Don\u2019t Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers\u2019 Private Personas" |
| }, |
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| "arxivId": "2010.12896", |
| "title": "Abduction and Argumentation for Explainable Machine Learning: A Position Survey" |
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| "arxivId": "2304.09842", |
| "title": "Chameleon: Plug-and-play compositional reasoning with large language models" |
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| "arxivId": "2303.15621", |
| "title": "ChatGPT as a Factual Inconsistency Evaluator for Text Summarization" |
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| "arxivId": "2110.07871", |
| "title": "Socially aware bias measurements for Hindi language representations" |
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| "arxivId": "1307.5336", |
| "title": "Good debt or bad debt: Detecting semantic orientations in economic texts" |
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| "arxivId": "2303.08896", |
| "title": "SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models" |
| }, |
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| "arxivId": "2005.00661", |
| "title": "On faithfulness and factuality in abstractive summarization" |
| }, |
| "2302.07842": { |
| "arxivId": "2302.07842", |
| "title": "Augmented Language Models: a Survey" |
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| "arxivId": "2106.15772", |
| "title": "A diverse corpus for evaluating and developing English math word problem solvers" |
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| "arxivId": "2305.14251", |
| "title": "FactScore: Fine-grained atomic evaluation of factual precision in long form text generation" |
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| "arxivId": "2112.09332", |
| "title": "WebGPT: Browser-assisted question-answering with human feedback" |
| }, |
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| "arxivId": "2304.06912", |
| "title": "How well do SOTA legal reasoning models support abductive reasoning?" |
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| "arxivId": "1910.14599", |
| "title": "Adversarial NLI: A new benchmark for natural language understanding" |
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| "arxivId": "2303.13375", |
| "title": "Capabilities of GPT-4 on medical challenge problems" |
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| "arxivId": "2104.13346", |
| "title": "Understanding factuality in abstractive summarization with FRANK: A benchmark for factuality metrics" |
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| "arxivId": "2302.06871", |
| "title": "Learning gain differences between ChatGPT and human tutor generated algebra hints" |
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| "arxivId": "2205.12255", |
| "title": "TALM: tool augmented language models" |
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| "arxivId": "1808.07231", |
| "title": "Reducing gender bias in abusive language detection" |
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| "arxivId": "2110.08193", |
| "title": "BBQ: A hand-built bias benchmark for question answering" |
| }, |
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| "arxivId": "2103.07191", |
| "title": "Are NLP models really able to solve simple math word problems?" |
| }, |
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| "arxivId": "2305.15334", |
| "title": "Gorilla: Large Language Model Connected with Massive APIs" |
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| "arxivId": "2212.09251", |
| "title": "Discovering language model behaviors with model-written evaluations" |
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| "arxivId": "1802.05365", |
| "title": "Deep contextualized word representations" |
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| "arxivId": "1909.01066", |
| "title": "Language Models as Knowledge Bases?" |
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| "title": "What have we achieved on text summarization?" |
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| "title": "Large Language Models in Finance: A Survey" |
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| "title": "Research Trends, Challenges, and Emerging Topics in Digital Forensics: A Review of Reviews" |
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| "title": "RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content" |
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| "title": "BERTScore: Evaluating Text Generation with BERT" |
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| "title": "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks" |
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| "title": "Scaling Instruction-Finetuned Language Models" |
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| "title": "Is ChatGPT a General-Purpose Natural Language Processing Task Solver?" |
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| "title": "TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages" |
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| "title": "The Web as a Knowledge-Base for Answering Complex Questions" |
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| "title": "Red Teaming Language Models with Language Models" |
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| "title": "Measuring Coding Challenge Competence With APPS" |
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| "title": "DocVQA: A Dataset for VQA on Document Images" |
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| "title": "Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone" |
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| "title": "Can Large Language Models Be an Alternative to Human Evaluations?" |
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| "title": "ChatGPT: Jack of all trades, master of none" |
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| "title": "Large Language Models are not Fair Evaluators" |
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| "title": "Large Language Models" |
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| "title": "A Diagram is Worth a Dozen Images" |
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| "title": "Qwen2 Technical Report" |
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| "title": "The Falcon Series of Open Language Models" |
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| "title": "A Survey of Hallucination in Large Foundation Models" |
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| "title": "Gemma: Open Models Based on Gemini Research and Technology" |
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| "title": "A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series 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": "How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models" |
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| "title": "MEGA: Multilingual Evaluation of Generative AI" |
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| "title": "Are We on the Right Way for Evaluating Large Vision-Language Models?" |
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| "title": "Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models" |
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| "title": "Benchmarking Retrieval-Augmented Generation for Medicine" |
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| "title": "Learning to Filter Context for Retrieval-Augmented Generation" |
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| "title": "The Prompt Report: A Systematic Survey of Prompting Techniques" |
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| "title": "Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text Summarization" |
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| "title": "FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability" |
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| "title": "A Comprehensive Evaluation of Large Language Models on Benchmark Biomedical Text Processing Tasks" |
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| "title": "Summarization is (Almost) Dead" |
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| "title": "Skill-Based Few-Shot Selection for In-Context Learning" |
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| "title": "Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences" |
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| "title": "ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming" |
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| "title": "Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence" |
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| "title": "Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective" |
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| "title": "How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study" |
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| "title": "Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers" |
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| "title": "DelucionQA: Detecting Hallucinations in Domain-specific Question Answering" |
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| "arxivId": "2311.17295", |
| "title": "Elo Uncovered: Robustness and Best Practices in Language Model Evaluation" |
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| "arxivId": "2311.08147", |
| "title": "RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge" |
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| "title": "LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking" |
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| "arxivId": "2407.06204", |
| "title": "A Survey on Mixture of Experts" |
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| "arxivId": "2406.06565", |
| "title": "MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures" |
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| "title": "Lessons from the Trenches on Reproducible Evaluation of Language Models" |
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| "title": "A Thorough Examination of Decoding Methods in the Era of LLMs" |
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| "arxivId": "2405.01724", |
| "title": "Large Language Models are Inconsistent and Biased Evaluators" |
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| "title": "ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning" |
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| "title": "Evaluating the Values of Sources in Transfer Learning" |
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| "title": "MapCoder: Multi-Agent Code Generation for Competitive Problem Solving" |
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| "arxivId": "2402.00841", |
| "title": "Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization?" |
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| "arxivId": "2304.13620", |
| "title": "ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries" |
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| "arxivId": "2403.02839", |
| "title": "An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Models are Task-specific Classifiers" |
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| "arxivId": "2402.14865", |
| "title": "DyVal 2: Dynamic Evaluation of Large Language Models by Meta Probing Agents" |
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| "arxivId": "2211.09110", |
| "title": "Holistic Evaluation of Language Models" |
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| "arxivId": "2304.13712", |
| "title": "Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond" |
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| "arxivId": "2107.12708", |
| "title": "QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension" |
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| "arxivId": "2211.15649", |
| "title": "Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources" |
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| "arxivId": "1607.00133", |
| "title": "Deep Learning with Differential Privacy" |
| }, |
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| "arxivId": "2007.01282", |
| "title": "Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering" |
| }, |
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| "arxivId": "1711.08412", |
| "title": "Word embeddings quantify 100 years of gender and ethnic stereotypes" |
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| "arxivId": "2202.05262", |
| "title": "Locating and Editing Factual Associations in GPT" |
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| "arxivId": "2307.15043", |
| "title": "Universal and Transferable Adversarial Attacks on Aligned Language Models" |
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| "arxivId": "2002.08910", |
| "title": "How Much Knowledge Can You Pack into the Parameters of a Language Model?" |
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| "arxivId": "2305.11206", |
| "title": "LIMA: Less Is More for Alignment" |
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| "arxivId": "1802.08908", |
| "title": "Scalable Private Learning with PATE" |
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| "title": "Small Language Models Improve Giants by Rewriting Their Outputs" |
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| "title": "BioBERT: a pre-trained biomedical language representation model for biomedical text mining" |
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| "title": "SciBERT: A Pretrained Language Model for Scientific Text" |
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| "title": "Don\u2019t Stop Pretraining: Adapt Language Models to Domains and Tasks" |
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| "title": "CORD-19: The Covid-19 Open Research Dataset" |
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| "title": "What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams" |
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| "title": "A Comprehensive Overview of Large Language Models" |
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| "title": "Can Foundation Models Talk Causality?" |
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| "title": "Premise Order Matters in Reasoning with Large Language Models" |
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| "arxivId": "2206.08353", |
| "title": "Towards Understanding How Machines Can Learn Causal Overhypotheses" |
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