1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CL2025
LGM: Enhancing Large Language Models with Conceptual Meta-Relations and Iterative Retrieval
Wenchang Lei, Ping Zou, Yue Wang +2
Large language models (LLMs) exhibit strong semantic understanding, yet struggle when user instructions involve ambiguous or conceptually misaligned terms. We propose the Language…
cs.SE2025
Large Language Models are overconfident and amplify human bias
Fengfei Sun, Ningke Li, Kailong Wang +1
Large language models (LLMs) are revolutionizing every aspect of society. They are increasingly used in problem-solving tasks to substitute human assessment and reasoning. LLMs are…
cs.CL2024★ 1 cited
Context-DPO: Aligning Language Models for Context-Faithfulness
Baolong Bi, Shaohan Huang, Yiwei Wang +11
Reliable responses from large language models (LLMs) require adherence to user instructions and retrieved information. While alignment techniques help LLMs align with human intenti…