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Author

Kaize Ding

Observed name: Ding, Kaize
ORCID: 0000-0001-6684-6752
Observed ORCID: 0000-0001-6684-6752
OpenAlex ID: A5134326255
Benchmarking AI Agents for Addressing Scientific Challenges Across Scales
2026 · Liu, Tianyu, Wang, Allen Xin, et al. · arXiv (Cornell University) · 1
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MedicalHarness: A Controlled Evaluation of LLMs and Agent Harnesses on Medical Tasks
2026 · Wang, Ziqing, Zhao, Lili, et al. · arXiv (Cornell University)
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Generalizing GNNs with Tokenized Mixture of Experts
2026 · Xiaoguang Guo, Zehong Wang, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
LatentDx: Latent Multi-Agent Communication for Cross-Hospital Rare-Disease Diagnosis
2026 · Wang, Ziqing, Zhao, Lili, et al. · arXiv (Cornell University)
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Can Post-Training Turn LLMs into Good Medical Coders? An Empirical Study of Generative ICD Coding
2026 · Wang, Ziqing, Li, Weihao, et al. · arXiv (Cornell University)
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CoAct: Co-Active LLM Preference Learning with Human-AI Synergy
2026 · Association for Computational Linguistics 2026, Ding, Kaize, et al. · Underline Science Inc.
Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection
2026 · Association for Computational Linguistics 2026, Ding, Kaize, et al. · Underline Science Inc.
Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization
2026 · Association for Computational Linguistics 2026, Diao, Xingjian, et al. · Underline Science Inc.
MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
2026 · Association for Computational Linguistics 2026, Ding, Kaize, et al. · Underline Science Inc.
A Survey of Large Language Models for Text-Guided Molecular Discovery: From Molecule Generation to Optimization
2026 · Association for Computational Linguistics 2026, Ding, Kaize, et al. · Underline Science Inc.
COLLATOR: Compositional Multi-Agent Orchestration with Counterfactual Reinforcement Learning
2026 · Chen, Xudong, Liu, Yixin, et al. · arXiv (Cornell University)
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Cat-DPO: Category-Adaptive Safety Alignment
2026 · Yang, Tiankai, Nian, Yi, et al. · arXiv (Cornell University)
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CoAct: Co-Active LLM Preference Learning with Human-AI Synergy
2026 · Xu, Ruiyao, Parmar, Mihir, et al. · arXiv (Cornell University)
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MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
2026 · Wang, Ziqing, Wen, Yibo, et al. · arXiv (Cornell University)
MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
2026 · Wang, Ziqing, Wen, Yibo, et al. · arXiv (Cornell University)
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No Attacker Needed: Unintentional Cross-User Contamination in Shared-State LLM Agents
2026 · Yang, Tiankai, Li, Jiate, et al. · arXiv (Cornell University)
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GlassMol: Interpretable Molecular Property Prediction with Concept Bottleneck Models
2026 · Rivera, Oscar, Wang, Ziqing, et al. · arXiv (Cornell University)
GlassMol: Interpretable Molecular Property Prediction with Concept Bottleneck Models
2026 · Rivera, Oscar, Wang, Ziqing, et al. · arXiv (Cornell University)
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Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization
2026 · Diao, Xingjian, Liu, Zheyuan, et al. · arXiv (Cornell University)
Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization
2026 · Diao, Xingjian, Liu, Zheyuan, et al. · arXiv (Cornell University)
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On the Plasticity Collapse in Continual Machine Unlearning
2026 · Yingdan Shi, Xiang Xu, et al. · Lecture notes in computer science
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Works count: 21
Citation count: 1
H-index: 1
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