ConMeC: A Dataset for Metonymy Resolution with Common Nouns

10 February 2025

Papers citing "ConMeC: A Dataset for Metonymy Resolution with Common Nouns"

8 / 8 papers shown

Title
Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach J. Yang Dapeng Chen Yajing Sun Rongjun Li Zhiyong Feng Wei Peng 86 6 0 19 Jan 2025
Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios Lei Lin Jiayi Fu Pengli Liu Qingyang Li Yan Gong Junchen Wan Fuzheng Zhang Zhongyuan Wang Di Zhang Kun Gai LRM 39 7 0 14 Nov 2023
Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions Pouya Pezeshkpour Estevam R. Hruschka LRM 37 136 0 22 Aug 2023
Improving Factuality and Reasoning in Language Models through Multiagent Debate Yilun Du Shuang Li Antonio Torralba J. Tenenbaum Igor Mordatch LLMAG LRM 121 684 0 23 May 2023
Training Compute-Optimal Large Language Models Jordan Hoffmann Sebastian Borgeaud A. Mensch Elena Buchatskaya Trevor Cai ... Karen Simonyan Erich Elsen Jack W. Rae Oriol Vinyals Laurent Sifre AI4TS 139 1,915 0 29 Mar 2022
Target Word Masking for Location Metonymy Resolution Haonan Li Maria Vasardani Martin Tomko Timothy Baldwin 22 11 0 30 Oct 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 542 41,106 0 28 May 2020
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.2K 93,936 0 11 Oct 2018