1 citations · 2 across the 4 of their papers we have counts for
5 papers
FACT-E: Causality-Inspired Evaluation for Trustworthy Chain-of-Thought Reasoning
Yuxi Sun, Aoqi Zuo, Haotian Xie +3
Chain-of-Thought (CoT) prompting has improved LLM reasoning, but models often generate explanations that appear coherent while containing unfaithful intermediate steps. Existing se…
Probabilistic Concept Graph Reasoning for Multimodal Misinformation Detection
Ruichao Yang, Wei Gao, Xiaobin Zhu +5
Multimodal misinformation poses an escalating challenge that often evades traditional detectors, which are opaque black boxes and fragile against new manipulation tactics. We prese…
LLM-based Few-Shot Early Rumor Detection with Imitation Agent
Fengzhu Zeng, Qian Shao, Ling Cheng +4
Early Rumor Detection (EARD) aims to identify the earliest point at which a claim can be accurately classified based on a sequence of social media posts. This is especially challen…
3D Instruction Ambiguity Detection
Jiayu Ding, Haoran Tang, Hongbo Jin +2
In safety-critical domains, linguistic ambiguity can have severe consequences; a vague command like "Pass me the vial" in a surgical setting could lead to catastrophic errors. Yet,…
Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs
Fengzhu Zeng, Wenqian Li, Wei Gao +1
Detecting multimodal misinformation, especially in the form of image-text pairs, is crucial. Obtaining large-scale, high-quality real-world fact-checking datasets for training dete…