5 papers
HyperWorld: Hypergraph-Structured State Serialization Improves Learned Textual World Models
Yun-Jian Zhang, Chen-Wei Liang, Tian-Yi Zhang +7
World models enable language-model agents to predict environment dynamics and plan before acting. In text environments, the model must learn symbolic action effects from serialized…
HyCE-RAG: Hypergraph Chain-of-Evidence Retrieval-Augmented Generation for Explainable Multi-hop Question Answering
Hong-Yu An, Yun-Jian Zhang, Chen-Wei Liang +7
Multi-hop question answering requires systems to retrieve evidence from multiple documents and connect scattered facts into a coherent reasoning process. Standard retrieval-augment…
Adaptive Multi-Stage Patent Claim Generation with Unified Quality Assessment
Chen-Wei Liang, Bin Guo, Zhen-Yuan Wei +1
Current patent claim generation systems face three fundamental limitations: poor cross-jurisdictional generalization, inadequate semantic relationship modeling between claims and p…
Adaptive Causal Coordination Detection for Social Media: A Memory-Guided Framework with Semi-Supervised Learning
Weng Ding, Yi Han, Mu-Jiang-Shan Wang
Detecting coordinated inauthentic behavior on social media remains a critical and persistent challenge, as most existing approaches rely on superficial correlation analysis, employ…
Learning-Based Automated Adversarial Red-Teaming for Robustness Evaluation of Large Language Models
Zhang Wei, Hanxuan Chen, Peilu Hu +19
Red-teaming is becoming a central part of large language model (LLM) safety evaluation, yet current practice still relies heavily on expert-written prompts or fixed benchmark suite…