Natural Language Processing

What Kind of Sourcery is This? Evaluating GPT-4’s Performance on Linking Scientific Fact to Citations EMNLP 2024 What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages ACL 2024 What Makes a Good Order of Examples in In-Context Learning ACL 2024 What Makes and Breaks Safety Fine-tuning? A Mechanistic Study NeurIPS 2024 What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning ICLR 2024 What Makes Math Word Problems Challenging for LLMs? NAACL 2024 What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification EACL 2024 What Matters in Memorizing and Recalling Facts? Multifaceted Benchmarks for Knowledge Probing in Language Models EMNLP 2024 What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? NAACL 2024 What matters when building vision-language models? NeurIPS 2024 What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation ICML 2024 What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information NeurIPS 2024 What should Baby Models read? Exploring Sample-Efficient Data Composition on Model Performance CoNLL 2024 What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study EMNLP 2024 What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement ICML 2024 When ”A Helpful Assistant” Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models EMNLP 2024 When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context EMNLP 2024 When Cohesion Lies in the Embedding Space: Embedding-Based Reference-Free Metrics for Topic Segmentation COLING 2024 When Context Leads but Parametric Memory Follows in Large Language Models EMNLP 2024 When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale NAACL 2024 When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets EACL 2024 When Do LLMs Need Retrieval Augmentation? Mitigating LLMs’ Overconfidence Helps Retrieval Augmentation ACL 2024 When Do “More Contexts” Help with Sarcasm Recognition? COLING 2024 When Elote, Choclo and Mazorca are not the Same. Isomorphism-Based Perspective to the Spanish Varieties Divergences NAACL 2024 When Generative Adversarial Networks Meet Sequence Labeling Challenges EMNLP 2024