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Natural Language Understanding

67 papers

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Papers

Instructions are all you need: Self-supervised Reinforcement Learning for Instruction Following ACL 2026
Metaphor Reasoning is Meta-reasoning ACL 2026
A Dual-Task Paradigm to Investigate Sentence Comprehension Strategies in Language Models ACL 2026
Continuous Interpretive Steering for Scalar Diversity ACL 2026
ICDAGENT: Empowering Agentic Large Language Models for Explainable Medical Coding ACL 2026
Iterative Dual-Model Alignment for Story Evaluation ACL 2026
Robertha: Eigenspectrum Regularized Attention for Robust Natural Language Understanding ACL 2026
Phun-Bench: Evaluating LLMs on Phonological Understanding in Chinese ACL 2026
DRInQ: Evaluating Conversational Implicature with Controlled Context Variation ACL 2026
PICTURE: Enhancing Theory-of-Mind in Large Language Models by Revealing, Not Hiding, Characters’ Lack of Knowledge ACL 2026
GROKE: Vision-Free Navigation Instruction Evaluation via Graph Reasoning on OpenStreetMap ACL 2026
Who Plays Which Role When? Communication Role Dynamics for Peer Recognition and Team Performance Prediction ACL 2026
Social Story Frames: Contextual Reasoning about Narrative Intent and Reception ACL 2026
Wait! There’s a Way Out: A Decision Mechanism for Forecasting Conversational Derailment ACL 2026
Unveiling the Limits of Large Language Models in Inferring Pragmatic Meaning from Non-Verbal Responses ACL 2026
Multi-Task Representation Alignment on Language Understanding: A Mutual Information Perspective ACL 2026
Understanding Conversational Implicatures in Humans and LLMs ACL 2026
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis AAAI 2025
AmbiK: Dataset of Ambiguous Tasks in Kitchen Environment ACL 2025
KAPA: A Deliberative Agent Framework with Tree-Structured Knowledge Base for Multi-Domain User Intent Understanding ACL 2025
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth EMNLP 2025
Do Large Language Models Understand Word Senses? EMNLP 2025
Can Large Language Models Understand Real-World Complex Instructions? AAAI 2024
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks AAAI 2024
DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding EMNLP 2024