CRAB: Assessing the Strength of Causal Relationships Between Real-world Events

7 November 2023

Papers citing "CRAB: Assessing the Strength of Causal Relationships Between Real-world Events"

7 / 7 papers shown

Title
WikiMixQA: A Multimodal Benchmark for Question Answering over Tables and Charts Negar Foroutan Angelika Romanou Matin Ansaripour Julian Martin Eisenschlos Karl Aberer R. Lebret 32 0 0 18 Jun 2025
Causal Graph based Event Reasoning using Semantic Relation Experts Mahnaz Koupaee Xueying Bai Mudan Chen Greg Durrett Nathanael Chambers Niranjan Balasubramanian 20 0 0 07 Jun 2025
CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models Aneesh Komanduri Karuna Bhaila Xintao Wu ReLM LRM ELM 10 0 0 21 May 2025
BIG-Bench Extra Hard Mehran Kazemi Bahare Fatemi Hritik Bansal John Palowitch Chrysovalantis Anastasiou ... Kate Olszewska Yi Tay Vinh Q. Tran Quoc V. Le Orhan Firat ELM LRM 299 13 0 26 Feb 2025
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction Yuncheng Hua Yujin Huang Shuo Huang Tao Feng Zhuang Li Chris Bain R. Bassed Gholamreza Haffari CML OOD 127 2 0 18 Jun 2024
Cause and Effect: Can Large Language Models Truly Understand Causality? Swagata Ashwani Kshiteesh Hegde Nishith Reddy Mannuru Mayank Jindal Dushyant Singh Sengar Krishna Chaitanya Rao Kathala Dishant Banga Vinija Jain Aman Chadha LRM 101 25 0 28 Feb 2024
Multi-Sentence Argument Linking Seth Ebner Patrick Xia Ryan Culkin Kyle Rawlins Benjamin Van Durme HAI 111 163 0 09 Nov 2019