Language Models Are Poor Learners of Directional Inference

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Language Models Are Poor Learners of Directional Inference

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022

10 October 2022

Mohammad Javad Hosseini

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Papers citing "Language Models Are Poor Learners of Directional Inference"

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Title
LLMs are Frequency Pattern Learners in Natural Language Inference Liang Cheng Zhaowei Wang Mark Steedman 174 1 0 27 May 2025
Neutralizing Bias in LLM Reasoning using Entailment GraphsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Liang Cheng Tianyi Li Zhaowei Wang Tianyang Liu Mark Steedman 171 3 0 14 Mar 2025
Explicit Inductive Inference using Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Tianyang Liu Tianyi Li Liang Cheng Mark Steedman 165 1 0 26 Aug 2024
Large Language Models and Knowledge Graphs: Opportunities and Challenges Jeff Z. Pan Simon Razniewski Jan-Christoph Kalo Sneha Singhania Jiaoyan Chen ... Gerard de Melo A. Bonifati Edlira Vakaj M. Dragoni D. Graux KELM 249 110 0 11 Aug 2023
Sources of Hallucination by Large Language Models on Inference TasksConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Nick McKenna Tianyi Li Liang Cheng Mohammad Javad Hosseini Mark Johnson Mark Steedman LRM HILM 249 241 0 23 May 2023
Smoothing Entailment Graphs with Language ModelsInternational Joint Conference on Natural Language Processing (IJCNLP), 2022 Nick McKenna Tianyi Li Mark Johnson Mark Steedman 157 11 0 30 Jul 2022