PertEval: Unveiling Real Knowledge Capacity of LLMs with
Knowledge-Invariant Perturbations

PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations

30 May 2024

Qi Liu

Papers citing "PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations"

4 / 4 papers shown

Title
Large language models could be rote learners Yuyang Xu Renjun Hu Haochao Ying J. Wu Xing Shi Wei Lin ELM 43 0 0 11 Apr 2025
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering Pan Lu Swaroop Mishra Tony Xia Liang Qiu Kai-Wei Chang Song-Chun Zhu Oyvind Tafjord Peter Clark A. Kalyan ELM ReLM LRM 198 1,089 0 20 Sep 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
PubMedQA: A Dataset for Biomedical Research Question Answering Qiao Jin Bhuwan Dhingra Zhengping Liu William W. Cohen Xinghua Lu 196 791 0 13 Sep 2019