Papers by Baibei Ji

    1 papers
    L-CiteEval: A Suite for Evaluating Fidelity of Long-context Models (2025.acl-long)

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    Challenge: Long-context models (LCMs) have seen remarkable advancements in recent years, facilitating tasks like long-document QA.
    Approach: They propose an out-of-the-box suite that can assess both generation quality and fidelity in long-context understanding tasks.
    Outcome: The proposed suite can assess both generation quality and fidelity in long-context understanding tasks.

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