Zhengliang Shi

Contrastive Learning Reduces Hallucination in Conversations

2022 · arXiv (Cornell University)

Pre-trained language models (LMs) store knowledge in their parameters and can generate informative responses when used in conversational systems. However, LMs suffer from the problem of "hallucination:" they may generate plausible-looking statements that are irrelevant …

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers

2025

Large language models (LLMs) have been widely integrated into information retrieval to advance traditional techniques. However, effectively enabling LLMs to seek accurate knowledge in complex tasks remains a challenge due to the complexity of multi-hop …