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Xiaocheng Zhang

2 accepted papers

2025

Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization

AAAI 2025technical

Iterative preference optimization has recently become one of the de-facto training paradigms for large language models (LLMs), but the performance is still underwhelming due to too much noisy preference data yielded in the loop. To combat this issue, we present an Uncertainty-enhanced Preference Opt…

2024

LI4: Label-Infused Iterative Information Interacting Based Fact Verification in Question-answering Dialogue

COLING 2024main

Fact verification constitutes a pivotal application in the effort to combat the dissemination of disinformation, a concern that has recently garnered considerable attention. However, previous studies in the field of fact verification, particularly those focused on question-answering dialogue, have e…