8 papers
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…
FSFM: A Biologically-Inspired Framework for Selective Forgetting of Agent Memory
Yingjie Gu, Wenjian Xiong, Liqiang Wang +7
For LLM agents, memory management critically impacts efficiency, quality, and security. While much research focuses on retention, selective forgetting--inspired by human cognitive…
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…
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…