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Machine Reading Comprehension

966 directly classified papers

Papers per year

Papers

Investigating the Generalizability of Pretrained Language Models across Multiple Dimensions: A Case Study of NLI and MRC EMNLP 2024
Evaluating the Effectiveness of Large Language Models in Establishing Conversational Grounding EMNLP 2024
Fast Evidence Extraction for Grounded Language Model Outputs EMNLP 2024
CHIE: Generative MRC Evaluation for in-context QA with Correctness, Helpfulness, Irrelevancy, and Extraneousness Aspects EMNLP 2024
SemEval-2024 Task 7: Numeral-Aware Language Understanding and Generation NAACL 2024
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content NIPS 2024
MedExQA: Medical Question Answering Benchmark with Multiple Explanations ACL 2024
Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches ACL 2024
Symbol Description Reading AAAI 2024
DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence? EMNLP 2024
The Defeat of the Winograd Schema Challenge (Abstract Reprint) AAAI 2024
Natural Response Generation for Chinese Reading Comprehension EMNLP 2023
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge ACL 2023
Argument mining as a multi-hop generative machine reading comprehension task EMNLP 2023
Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset NIPS 2023
Guiding LLM to Fool Itself: Automatically Manipulating Machine Reading Comprehension Shortcut Triggers EMNLP 2023
Machine Reading Comprehension using Case-based Reasoning EMNLP 2023
Bridging The Gap: Entailment Fused-T5 for Open-retrieval Conversational Machine Reading Comprehension ACL 2023
Generating Extractive Answers: Gated Recurrent Memory Reader for Conversational Question Answering EMNLP 2023
Contrastive Distant Supervision for Debiased and Denoised Machine Reading Comprehension EMNLP 2023
Strong and Efficient Baselines for Open Domain Conversational Question Answering EMNLP 2023
MPrompt: Exploring Multi-level Prompt Tuning for Machine Reading Comprehension EMNLP 2023
MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding EMNLP 2023
Interpreting Indirect Answers to Yes-No Questions in Multiple Languages EMNLP 2023
Assessing Distractors in Multiple-Choice Tests IJCNLP 2023