Papers by Anirudh Jain

2 papers
To Answer or Not to Answer (TAONA): A Robust Textual Graph Understanding and Question Answering Approach (2025.findings-emnlp)

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Challenge: Existing studies assume that generated answers integrate all relevant information from the textual graph.
Approach: They propose a novel GraphRAG model that integrates all relevant information from the textual graph into the generated answer.
Outcome: Extensive experiments validate TAONA’s superior performance for both A-side and B-side tasks.
VizSeq: a visual analysis toolkit for text generation tasks (D19-3)

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Challenge: Several softwares for text evaluation are available that do not provide detailed examples.
Approach: They propose a visual analysis toolkit for instance-level and corpus-level system evaluation on a wide variety of text generation tasks.
Outcome: The proposed toolkit covers most common n-gram metrics and latest embedding-based metrics such as BERTScore.

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