AbductionRules: Training Transformers to Explain Unexpected Inputs

AbductionRules: Training Transformers to Explain Unexpected Inputs

23 March 2022

Qiming Bao

Joshua Bensemann

Michael Witbrock

Papers citing "AbductionRules: Training Transformers to Explain Unexpected Inputs"

5 / 5 papers shown

Title
Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks Yixin Cao Shibo Hong X. Li Jiahao Ying Yubo Ma ... Juanzi Li Aixin Sun Xuanjing Huang Tat-Seng Chua Yu Jiang ALM ELM 84 1 0 26 Apr 2025
Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning Qiming Bao Gael Gendron A. Peng Wanjun Zhong N. Tan Yang Chen Michael Witbrock J. Liu LRM ELM 68 2 0 20 Jan 2025
Natural Language Reasoning, A Survey Fei Yu Hongbo Zhang Prayag Tiwari Benyou Wang ReLM LRM 28 49 0 26 Mar 2023
Reasoning with Language Model Prompting: A Survey Shuofei Qiao Yixin Ou Ningyu Zhang Xiang Chen Yunzhi Yao Shumin Deng Chuanqi Tan Fei Huang Huajun Chen ReLM ELM LRM 51 310 0 19 Dec 2022
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation Qiming Bao A. Peng Tim Hartill N. Tan Zhenyun Deng Michael Witbrock Jiamou Liu ReLM OOD NAI LRM 29 13 0 28 Jul 2022