Large Language Models

When LLMs Struggle: Reference-less Translation Evaluation for Low-resource Languages COLING 2025 When Long Helps Short: How Context Length in Supervised Fine-tuning Affects Behavior of Large Language Models EMNLP 2025 When Men Bite Dogs: Testing Good-Enough Parsing in Turkish with Humans and Large Language Models NAACL 2025 When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA EMNLP 2025 When natural language is not enough: The limits of in-context learning demonstrations in multilingual reasoning NAACL 2025 When Neutral Summaries Are Not That Neutral: Quantifying Political Neutrality in LLM-Generated News Summaries (Student Abstract) AAAI 2025 When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference Learning EMNLP 2025 When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning EMNLP 2025 WHEN TOM EATS KIMCHI: Evaluating Cultural Awareness of Multimodal Large Language Models in Cultural Mixture Contexts NAACL 2025 Where Are We? Evaluating LLM Performance on African Languages ACL 2025 Where Confabulation Lives: Latent Feature Discovery in LLMs EMNLP 2025 “Where Does This Strange Smell Come from?”: Enabling Conversational Interfaces for Artificial Olfaction EMNLP 2025 Where do LLMs Encode the Knowledge to Assess the Ambiguity? COLING 2025 Where is the answer? An empirical study of positional bias for parametric knowledge extraction in language model NAACL 2025 Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning EMNLP 2025 Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems ICML 2025 Which Attention Heads Matter for In-Context Learning? ICML 2025 Which Demographics do LLMs Default to During Annotation? ACL 2025 Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above ACL 2025 Which Word Orders Facilitate Length Generalization in LMs? An Investigation with GCG-Based Artificial Languages EMNLP 2025 "Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift ICML 2025 Who Holds the Pen? Caricature and Perspective in LLM Retellings of History EMNLP 2025 Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation EMNLP 2025 Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas ACL 2025 Who Taught You That? Tracing Teachers in Model Distillation ACL 2025