Sign of the Times: Evaluating the use of Large Language Models for Idiomaticity Detection

15 May 2024

Papers citing "Sign of the Times: Evaluating the use of Large Language Models for Idiomaticity Detection"

8 / 8 papers shown

Title
SemEval-2025 Task 1: AdMIRe -- Advancing Multimodal Idiomaticity Representation Thomas Pickard Aline Villavicencio Maggie Mi Wei He Dylan Phelps Carolina Scarton 75 1 0 19 Mar 2025
UoR-NCL at SemEval-2025 Task 1: Using Generative LLMs and CLIP Models for Multilingual Multimodal Idiomaticity Representation Thanet Markchom Tong Wu Liting Huang Huizhi Liang 93 1 0 28 Feb 2025
Rolling the DICE on Idiomaticity: How LLMs Fail to Grasp Context Maggie Mi Aline Villavicencio Nafise Sadat Moosavi 34 1 0 21 Oct 2024
Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE Yuling Gu Yao Fu Valentina Pyatkin Ian H. Magnusson Bhavana Dalvi Peter Clark 36 7 0 28 Oct 2022
Language Models are Multilingual Chain-of-Thought Reasoners Freda Shi Mirac Suzgun Markus Freitag Xuezhi Wang Suraj Srivats ... Yi Tay Sebastian Ruder Denny Zhou Dipanjan Das Jason W. Wei ReLM LRM 165 320 0 06 Oct 2022
FLUTE: Figurative Language Understanding through Textual Explanations Tuhin Chakrabarty Arkadiy Saakyan Debanjan Ghosh Smaranda Muresan 42 65 0 24 May 2022
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
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 252 618 0 04 Dec 2018