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Kaize Ding

Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection
2026 · Junjun Pan, Yixin Liu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1
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Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators
2026 · Zhengyu Hu, Jieyu Zhang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
CoAct: Co-Active LLM Preference Learning with Human-AI Synergy
2026 · Ruiyao Xu, Mihir Parmar, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
2026 · Ziqing Wang, Yibo Wen, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Front Matter
2026 · Vivek Gupta, Kaize Ding, et al. · Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era (SURGeLLM)
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Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization
2026 · Xingjian Diao, Zheyuan Liu, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies
2025 · Yibo Wen, Chenwei Xu, et al. · neural information processing systems
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Topology-Aware Conformal Prediction for Stream Networks
2025 · Jifan Zhang, Fangxin Wang, et al. · neural information processing systems
Works count: 8
Citation count: 1
H-index: 1
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