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Natural Language Processing

46,586 papers (52 classified directly here)

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Papers (including subtopics)

What is the Best Sequence Length for BabyLM? EMNLP 2025 What is Wrong with Perplexity for Long-context Language Modeling? ICLR 2025 What Language Do Non-English-Centric Large Language Models Think in? ACL 2025 What Limits Bidirectional Model’s Generative Capabilities? A Uni-Bi-Directional Mixture-of-Expert Method For Bidirectional Fine-tuning ICML 2025 What Makes a Good Natural Language Prompt? ACL 2025 What Makes Cryptic Crosswords Challenging for LLMs? COLING 2025 What Makes for Good Image Captions? EMNLP 2025 What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning COLING 2025 What Makes Large Language Models Reason in (Multi-Turn) Code Generation? ICLR 2025 What Makes You CLIC: Detection of Croatian Clickbait Headlines ACL 2025 What Matters in Evaluating Book-Length Stories? A Systematic Study of Long Story Evaluation ACL 2025 What Media Frames Reveal About Stance: A Dataset and Study about Memes in Climate Change Discourse EMNLP 2025 What Really Matters in Many-Shot Attacks? An Empirical Study of Long-Context Vulnerabilities in LLMs ACL 2025 What’s in a prompt? Language models encode literary style in prompt embeddings EMNLP 2025 What's New in My Data? Novelty Exploration via Contrastive Generation ICLR 2025 What’s Not Said Still Hurts: A Description-Based Evaluation Framework for Measuring Social Bias in LLMs EMNLP 2025 “What’s Up, Doc?”: Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets EMNLP 2025 What’s Wrong? Refining Meeting Summaries with LLM Feedback COLING 2025 What the Filler? Both ASR Systems and Humans Struggle More With Other Kinds of Disfluencies Than With Filler Particles Interspeech 2025 What to Predict? Exploring How Sentence Structure Influences Contrast Predictions in Humans and Large Language Models NAACL 2025 What We Talk About When We Talk About LMs: Implicit Paradigm Shifts and the Ship of Language Models NAACL 2025 What Would You Ask When You First Saw a2+b2=c2? Evaluating LLM on Curiosity-Driven Question Generation IJCNLP 2025 What You See is What You Ask: Evaluating Audio Descriptions EMNLP 2025 When2Call: When (not) to Call Tools NAACL 2025 When and How to Augment Your Input: Question Routing Helps Balance the Accuracy and Efficiency of Large Language Models NAACL 2025