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Jicheng Zhang

2 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

2022

Minimum Word Error Training For Non-Autoregressive Transformer-Based Code-Switching ASR

ICASSP 2022accepted

Non-autoregressive end-to-end ASR framework might be potentially appropriate for code-switching recognition task thanks to its inherent property that present output token being independent of historical ones. However, it still under-performs the state-of-the-art autoregressive ASR frameworks. In thi…

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