Teaching Large Language Models to Express Knowledge Boundary from Their
Own Signals

Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals

16 June 2024

Xintao Wang

Yanghua Xiao

Bing Han

Wei Wang

Papers citing "Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals"

5 / 5 papers shown

Title
MAC-Tuning: LLM Multi-Compositional Problem Reasoning with Enhanced Knowledge Boundary Awareness Junsheng Huang Zhitao He Sandeep Polisetty Q. Wang May Fung KELM 45 0 0 30 Apr 2025
Enhancing LLM Reliability via Explicit Knowledge Boundary Modeling Hang Zheng Hongshen Xu Yuncong Liu Lu Chen Pascale Fung Kai Yu 78 2 0 04 Mar 2025
SMART: Self-Aware Agent for Tool Overuse Mitigation Cheng Qian Emre Can Acikgoz H. Wang X. Chen Avirup Sil Dilek Hakkani-Tür Gökhan Tür Heng Ji LLMAG KELM LRM 63 4 0 17 Feb 2025
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? Zorik Gekhman G. Yona Roee Aharoni Matan Eyal Amir Feder Roi Reichart Jonathan Herzig 48 98 0 09 May 2024
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022