huan zhang
- Papers
- 25
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Authored papers
25GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL
arXiv 2026
MonitorBench: A Comprehensive Benchmark for Chain-of-Thought Monitorability in Large Language Models
arXiv 2026
FORTIS: Benchmarking Over-Privilege in Agent Skills
arXiv 2026
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
arXiv 2025
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents
arXiv 2025
GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents
arXiv 2025
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective
arXiv 2025
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
arXiv 2025
When Reasoning Meets Its Laws
arXiv 2025
Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification
arXiv 2025
Rethinking Diverse Human Preference Learning through Principal Component Analysis
arXiv 2025
TrustLLM: Trustworthiness in Large Language Models
arXiv 2024
Neural Network Verification with Branch-and-Bound for General Nonlinearities
arXiv 2024
Foundation Models for Music: A Survey
arXiv 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs
arXiv 2024
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
arXiv 2024
DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models
arXiv 2024
Testing Neural Network Verifiers: A Soundness Benchmark with Hidden Counterexamples
arXiv 2024
COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability
arXiv 2024
A Pair Programming Framework for Code Generation via Multi-Plan Exploration and Feedback-Driven Refinement
arXiv 2024
Using Explainable AI and Transfer Learning to understand and predict the maintenance of Atlantic blocking with limited observational data
arXiv 2024
HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science
arXiv 2023
Robust Mixture-of-Expert Training for Convolutional Neural Networks
ICCV 2023 1
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation
arXiv 2022
Fast Certified Robust Training with Short Warmup
NeurIPS 2021 12
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