Zisu Huang

According to our database1, Zisu Huang authored at least 17 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
From Static Context to Calibrated Interactive RL: Mitigating Distribution Shift in Multi-turn Dialogue with Aligned Simulator.
CoRR, May, 2026

SkillOpt: Executive Strategy for Self-Evolving Agent Skills.
CoRR, May, 2026

From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills.
CoRR, May, 2026

Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges.
CoRR, April, 2026

Learning Query-Specific Rubrics from Human Preferences for DeepResearch Report Generation.
CoRR, February, 2026

BatCoder: Self-Supervised Bidirectional Code-Documentation Learning via Back-Translation.
CoRR, February, 2026

TRIP-Bench: A Benchmark for Long-Horizon Interactive Agents in Real-World Scenarios.
CoRR, February, 2026

Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human-Agent Interaction.
CoRR, January, 2026

CSSG: Measuring Code Similarity with Semantic Graphs.
CoRR, January, 2026

Benchmark^2: Systematic Evaluation of LLM Benchmarks.
CoRR, January, 2026

2025
IntentionReasoner: Facilitating Adaptive LLM Safeguards through Intent Reasoning and Selective Query Refinement.
CoRR, August, 2025

Enhancing Model Privacy in Federated Learning with Random Masking and Quantization.
CoRR, August, 2025

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning.
CoRR, June, 2025

RECAST: Strengthening LLMs' Complex Instruction Following with Constraint-Verifiable Data.
CoRR, May, 2025

Enhancing Model Privacy in Federated Learning with Random Masking and Quantization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
Enhancing the Capability and Robustness of Large Language Models through Reinforcement Learning-Driven Query Refinement.
CoRR, 2024


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