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conftrace_

text understanding

73 papers

Papers

CTTA-T: Continual Test-Time Adaptation for Text Understanding via Teacher-Student with a Domain-aware and Generalized Teacher ACL 2026 Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities ACL 2025 EAVIT: Efficient and Accurate Human Value Identification From Text Data via LLMs IJCAI 2025 How Accurate Are LLMs at Multi-Question Answering on Conversational Transcripts? EMNLP 2025 KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts EMNLP 2025 Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective AAAI 2025 NovelCR: A Large-Scale Bilingual Dataset Tailored for Long-Span Coreference Resolution ACL 2025 R²-CoD: Understanding Text-Graph Complementarity in Relational Reasoning via Knowledge Co-Distillation IJCNLP 2025 Reverse Modeling in Large Language Models NAACL 2025 SCITAT: A Question Answering Benchmark for Scientific Tables and Text Covering Diverse Reasoning Types ACL 2025 SEAGraph: Unveiling the Whole Story of Paper Review Comments IJCNLP 2025 StrucText-Eval: Evaluating Large Language Model’s Reasoning Ability in Structure-Rich Text ACL 2025 Towards a Holistic and Automated Evaluation Framework for Multi-Level Comprehension of LLMs in Book-Length Contexts EMNLP 2025 YNU-HPCC at SemEval-2025 Task 6: Using BERT Model with R-drop for Promise Verification SemEval 2025 Abbreviation Across the World’s Languages and Scripts COLING 2024 Decomposing Semantic Shifts for Composed Image Retrieval AAAI 2024 FAC2E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition EMNLP 2024 It Is Not About What You Say, It Is About How You Say It: A Surprisingly Simple Approach for Improving Reading Comprehension ACL 2024 On Narrative Question Answering Skills NAACL 2024 Sonnet or Not, Bot? Poetry Evaluation for Large Models and Datasets EMNLP 2024 Using Large Language Models for Understanding Narrative Discourse EMNLP 2024 “We Demand Justice!”: Towards Social Context Grounding of Political Texts EMNLP 2024 When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models NeurIPS 2024 Which questions should I answer? Salience Prediction of Inquisitive Questions EMNLP 2024 GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and Datasets EMNLP 2023