Natural Language Understanding

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis AAAI 2025 KAPA: A Deliberative Agent Framework with Tree-Structured Knowledge Base for Multi-Domain User Intent Understanding ACL 2025 UCSC NLP T6 at SemEval-2025 Task 1: Leveraging LLMs and VLMs for Idiomatic Understanding SemEval 2025 BookWorm: A Dataset for Character Description and Analysis EMNLP 2024 Can Large Language Models Understand Real-World Complex Instructions? AAAI 2024 DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding EMNLP 2024 Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks AAAI 2024 Learning from Implicit User Feedback, Emotions and Demographic Information in Task-Oriented and Document-Grounded Dialogues EMNLP 2024 Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models EMNLP 2024 ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion ICLR 2024 A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting EMNLP 2023 Aligning Language Models to User Opinions EMNLP 2023 Did You Mean...? Confidence-based Trade-offs in Semantic Parsing EMNLP 2023 Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Home ACL 2023 MRRL: Modifying the Reference via Reinforcement Learning for Non-Autoregressive Joint Multiple Intent Detection and Slot Filling EMNLP 2023 QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing EMNLP 2023 tagE: Enabling an Embodied Agent to Understand Human Instructions EMNLP 2023 Two Birds One Stone: Dynamic Ensemble for OOD Intent Classification ACL 2023 Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss AAAI 2022 Debiasing Masks: A New Framework for Shortcut Mitigation in NLU EMNLP 2022 Identifying Physical Object Use in Sentences EMNLP 2022 Leveraging Affirmative Interpretations from Negation Improves Natural Language Understanding EMNLP 2022 Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU EMNLP 2022 VALUE: Understanding Dialect Disparity in NLU ACL 2022 A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems EMNLP 2021