Papers by Pengfei Jiao

3 papers
Towards a Unified Multi-Dimensional Evaluator for Text Generation (2022.emnlp-main)

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Challenge: Existing evaluation frameworks for natural language generation are dominated by similarity-based metrics.
Approach: They propose a multi-dimensional evaluator for natural language generation that integrates multiple dimensions into one evaluer.
Outcome: The proposed evaluator improves on three typical NLG tasks and improves with external knowledge.
What Tokens Truly Matter? The Logit Conflation Problem in LLM Sampling (2026.findings-acl)

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Challenge: Existing methods for large language models filter tokens based on logit magnitudes or derived statistics, under the implicit assumption that high-logit tokens are desirable.
Approach: They propose to isolate the Logit Conflation Problem by using attention-weighted attribution to extract prompt-relevance from token logits.
Outcome: The proposed method improves on LLaMA-3 and is training-free and low latency.

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