Andrew Zhao

Venues

Frequent coauthors

Papers

1. Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers
   EACL 2026 · Andrew Zhao
2. Absolute Zero: Reinforced Self-play Reasoning with Zero Data
   NeurIPS 2025 · Andrew Zhao
3. Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
   NeurIPS 2025 ·

   Shenzhi Wang

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4. DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints
   AAAI 2025 · Andrew Zhao
5. Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
   NeurIPS 2025 ·

   Zhiqi Chen

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6. Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing
   NAACL 2025 ·

   Huanqian Wang

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7. Boosting LLM Agents with Recursive Contemplation for Effective Deception Handling
   ACL 2024 ·

   Shenzhi Wang

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8. ExpeL: LLM Agents Are Experiential Learners
   AAAI 2024 · Andrew Zhao
9. Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation
   AAAI 2024 ·

   Matthieu Lin

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10. Exploring Text-to-Motion Generation with Human Preference
    CVPR 2024 ·

    Jenny Sheng

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