Natural Language Processing

From Information to Insight: Leveraging LLMs for Open Aspect-Based Educational Summarization ACL 2025 From Input Perception to Predictive Insight: Modeling Model Blind Spots Before They Become Errors EMNLP 2025 From Insight to Exploit: Leveraging LLM Collaboration for Adaptive Adversarial Text Generation EMNLP 2025 From Intentions to Techniques: A Comprehensive Taxonomy and Challenges in Text Watermarking for Large Language Models NAACL 2025 From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning NAACL 2025 From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs ICLR 2025 From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set ICML 2025 From Keyterms to Context: Exploring Topic Description Generation in Scientific Corpora EMNLP 2025 From KMMLU-Redux to Pro: A Professional Korean Benchmark Suite for LLM Evaluation EMNLP 2025 From Language Models over Tokens to Language Models over Characters ICML 2025 From Language to Cognition: How LLMs Outgrow the Human Language Network EMNLP 2025 From Measurement to Mitigation: Exploring the Transferability of Debiasing Approaches to Gender Bias in Maltese Language Models ACL 2025 From Mechanistic Interpretability to Mechanistic Biology: Training, Evaluating, and Interpreting Sparse Autoencoders on Protein Language Models ICML 2025 From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs ACL 2025 From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering ICLR 2025 From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks IJCNLP 2025 From Movement Memories to Robotic Dialogue: A Language-Mediated Pipeline for Somatic Machine Translation NeurIPS 2025 From Multiple-Choice to Extractive QA: A Case Study for English and Arabic COLING 2025 From Neurons to Semantics: Evaluating Cross-Linguistic Alignment Capabilities of Large Language Models via Neurons Alignment ACL 2025 From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modeling EMNLP 2025 From Noise to Clarity: Filtering Real and LLM-Generated Samples for Enhanced Intent Detection EMNLP 2025 From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation ACL 2025 From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment ACL 2025 From Panels to Prose: Generating Literary Narratives from Comics ICCV 2025 From Parameters to Performance: A Data-Driven Study on LLM Structure and Development EMNLP 2025