When Does Meaning Backfire? Investigating the Role of AMRs in NLI

When Does Meaning Backfire? Investigating the Role of AMRs in NLI

17 June 2025

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Papers citing "When Does Meaning Backfire? Investigating the Role of AMRs in NLI"

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Title
Revisiting Prompt Optimization with Large Reasoning Models-A Case Study on Event Extraction Saurabh Srivastava Ziyu Yao ReLM LRM 65 3 0 10 Apr 2025
Instruction-Tuning LLMs for Event Extraction with Annotation Guidelines Saurabh Srivastava Sweta Pati Ziyu Yao 102 3 0 22 Feb 2025
SMATCH++: Standardized and Extended Evaluation of Semantic Graphs Juri Opitz 45 23 0 11 May 2023
Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT Qihuang Zhong Liang Ding Juhua Liu Bo Du Dacheng Tao AI4MH 104 244 0 19 Feb 2023
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases Christopher Clark Mark Yatskar Luke Zettlemoyer OOD 76 466 0 09 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 668 24,528 0 26 Jul 2019
Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark Nikita Nangia Samuel R. Bowman ELM ALM 69 76 0 24 May 2019
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 234 580 0 02 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 1.1K 7,182 0 20 Apr 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 524 4,492 0 18 Apr 2017