1 citations · 1 across the 8 of their papers we have counts for
9 papers
Chinese Competitive Debating Dataset and Benchmark
Zongrui Yang, Haoyuan Li, Zhongsheng Wang +5
Debate adjudication requires tracking how arguments develop through interaction, yet existing datasets rarely combine fine-grained debate transcripts with professional judgments co…
GPE: Evaluating Robust Evidence Aggregation for Fact Verification under Controllable GEO-Style Poisoning
Zhaoqi Wang, Zijian Zhang, Xiaomei Yuan +4
Large language models increasingly use search tools to retrieve up-to-date information, introducing a new attack surface in which retrieved documents can be manipulated. This risk…
ToE: A Hierarchical and Explainable Claim Verification Framework with Dynamic Multi-source Evidence Retrieval and Aggregation
Zhaoqi Wang, Zijian Zhang, Kun Zheng +4
The rapid spread of fake news poses increasing threats to information ecosystems, especially as AI-generated misinformation under Generative Engine Optimization (GEO) poisoning all…
Jailbreaking Large Language Models through Iterative Tool-Disguised Attacks via Reinforcement Learning
Zhaoqi Wang, Zijian Zhang, Daqing He +5
Large language models (LLMs) have demonstrated remarkable capabilities across diverse applications, however, they remain critically vulnerable to jailbreak attacks that elicit harm…
Reputation-Based Leader Election under Partial Synchrony: Towards a Protocol-Independent Abstraction with Enhanced Guarantees
Xuyang Liu, Zijian Zhang, Zhen Li +3
Leader election serves a well-defined role in leader-based Byzantine Fault Tolerant (BFT) protocols. Existing reputation-based leader election frameworks for partially synchronous…
TabGRU: An Enhanced Design for Urban Rainfall Intensity Estimation Using Commercial Microwave Links
Xingwang Li, Mengyun Chen, Jiamou Liu +8
In the face of accelerating global urbanization and the increasing frequency of extreme weather events, highresolution urban rainfall monitoring is crucial for building resilient s…
Formalization Driven LLM Prompt Jailbreaking via Reinforcement Learning
Zhaoqi Wang, Daqing He, Zijian Zhang +4
Large language models (LLMs) have demonstrated remarkable capabilities, yet they also introduce novel security challenges. For instance, prompt jailbreaking attacks involve adversa…
Spatial-Temporal Conditional Random Field for Human Trajectory Prediction
Pengqian Han, Jiamou Liu, Jialing He +3
Trajectory prediction is of significant importance in computer vision. Accurate pedestrian trajectory prediction benefits autonomous vehicles and robots in planning their motion. P…
STF: Spatial Temporal Fusion for Trajectory Prediction
Pengqian Han, Jiamou Liu, Tianzhe Bao +1
Trajectory prediction is a challenging task that aims to predict the future trajectory of vehicles or pedestrians over a short time horizon based on their historical positions. The…