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Teng Lin

1 accepted papers

2025

MEBench: Benchmarking Large Language Models for Cross-Document Multi-Entity Question Answering

EMNLP 2025

Cross-Document Multi-entity question answering (MEQA) demands the integration of scattered information across documents to resolve complex queries involving entities, relationships, and contextual dependencies. Although Large Language Models (LLMs) and Retrieval-augmented Generation (RAG) systems sh