1 citations · 2 across the 6 of their papers we have counts for
5 papers · 1 filter
REFLEX: Self-Refining Explainable Fact-Checking via Verdict-Anchored Style Control
Chuyi Kong, Wei Gao, Jing Ma +2
The prevalence of fake news on social media demands automated fact-checking systems to provide accurate verdicts with faithful explanations. However, existing large language model…
MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents
Tianyu Hu, Weikai Lin, Weizhi Zhang +2
Long-term conversational agents must decide which turns to store in external memory, yet recent systems rely on autoregressive LLM generation at every turn to make that decision. W…
CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models
Yuefei Chen, Vivek K. Singh, Jing Ma +1
Counterfactual reasoning is widely recognized as one of the most challenging and intricate aspects of causality in artificial intelligence. In this paper, we evaluate the performan…
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…
CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention
Yuxi Sun, Aoqi Zuo, Wei Gao +1
Large Language Models (LLMs) often exhibit knowledge disparities across languages. Encouraging LLMs to \textit{abstain} when faced with knowledge gaps is a promising strategy to re…