Papers by Junda Lu

1 papers
DialogBench: Evaluating LLMs as Human-like Dialogue Systems (2024.naacl-long)

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Challenge: Existing benchmarks only evaluate LLMs' abilities for task completion as assistant AI.
Approach: They propose a dialogue evaluation benchmark that contains 12 dialogue tasks to evaluate LLMs' capabilities as human-like dialogue systems.
Outcome: The proposed benchmark contains 12 tasks to evaluate LLMs' capabilities . it shows that instruction tuning improves human likeness, but not as human-like systems .

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