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Machine Reading Comprehension

966 directly classified papers

Papers per year

Papers

NLP at UC Santa Cruz at SemEval-2024 Task 5: Legal Answer Validation using Few-Shot Multi-Choice QA SEMEVAL 2024
Purpose Enhanced Reasoning through Iterative Prompting: Uncover Latent Robustness of ChatGPT on Code Comprehension IJCAI 2024
M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering ACL 2024
RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering ACL 2024
JN666 at SemEval-2024 Task 7: NumEval: Numeral-Aware Language Understanding and Generation SEMEVAL 2024
GRAM: Global Reasoning for Multi-Page VQA CVPR 2024
Chain of Condition: Construct, Verify and Solve Conditions for Conditional Question Answering EMNLP 2024
Explicit Inductive Inference using Large Language Models EMNLP 2024
Language-aware Visual Semantic Distillation for Video Question Answering CVPR 2024
Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension AAAI 2024
DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models NIPS 2024
M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models ACL 2024
VTQA: Visual Text Question Answering via Entity Alignment and Cross-Media Reasoning CVPR 2024
A linguistically-motivated evaluation methodology for unraveling model’s abilities in reading comprehension tasks EMNLP 2024
README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP EMNLP 2024
MalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in Education EMNLP 2024
MDCR: A Dataset for Multi-Document Conditional Reasoning EMNLP 2024
PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named Entity Recognition AAAI 2024
Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales AAAI 2024
LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction AAAI 2024
SciDQA: A Deep Reading Comprehension Dataset over Scientific Papers EMNLP 2024
Probing the Depths of Language Models’ Contact-Center Knowledge for Quality Assurance EMNLP 2024
Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches ACL 2024
Fact-Driven Logical Reasoning for Machine Reading Comprehension AAAI 2024
RESTful-Llama: Connecting User Queries to RESTful APIs EMNLP 2024