Hongbo Zhang
15 papers · 2020–2025 · 11 venues · across top CS/AI venues
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Venues
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Research topics
Keywords
large language model
(3)
reinforcement learning
(3)
knowledge distillation
(2)
offline reinforcement learning
(2)
chain-of-thought reasoning
(2)
sim-to-real transfer
(1)
dialogue generation
(1)
imitation learning
(1)
multi-agent learning
(1)
in-context learning
(1)
domain generalization
(1)
reinforcement learning from human feedback
(1)
multimodal learning
(1)
autonomous driving
(1)
depth estimation
(1)
locomotion control
(1)
robot learning
(1)
gradient descent
(1)
zero-shot learning
(1)
representation learning
(1)
Papers
Constrain Alignment with Sparse Autoencoders
ICML 2025
CycleResearcher: Improving Automated Research via Automated Review
ICLR 2025
Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values
EMNLP 2025
GPU Accelerated Modeling of Cortical Radial and Tangential Connectivity Changes in Neurodegeneration
MICCAI 2025
How Likely Do LLMs with CoT Mimic Human Reasoning?
COLING 2025
Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction
ICLR 2025
AutoSurvey: Large Language Models Can Automatically Write Surveys
NeurIPS 2024
NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching
AAAI 2024
"Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts"
ECCV 2024
Co-training and Co-distillation for Quality Improvement and Compression of Language Models
EMNLP 2023
Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation
ACL 2023
HuatuoGPT, Towards Taming Language Model to Be a Doctor
EMNLP 2023
GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots
CoRL 2022
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving
CoRL 2020
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets
IJCAI 2020