Bowen Zhou
Tsinghua professor and director of the Shanghai AI Lab; previously VP of AI at JD.com and IBM Watson, focused on trustworthy LLMs.
- Role
- professor
- Currently at
- Tsinghua University
- Scholar
- scholar.google.com/citations
- Papers
- 45
Cite
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Authored papers
45Post-Trained MoE Can Skip Half Experts via Self-Distillation
arXiv 2026
InternVLA-A1: Unifying Understanding, Generation and Action for Robotic Manipulation
arXiv 2026
InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery
arXiv 2026
P1-VL: Bridging Visual Perception and Scientific Reasoning in Physics Olympiads
arXiv 2026
Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization
arXiv 2026
MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
arXiv 2025
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers
arXiv 2025
SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
arXiv 2025
TTRL: Test-Time Reinforcement Learning
arXiv 2025
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
arXiv 2025
NovelSeek: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification
arXiv 2025
Process Reinforcement through Implicit Rewards
arXiv 2025
MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding
arXiv 2025
Dolphin: Closed-loop Open-ended Auto-research through Thinking, Practice, and Feedback
arXiv 2025
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
arXiv 2025
SSRL: Self-Search Reinforcement Learning
arXiv 2025
ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data
arXiv 2025
FlowRL: Matching Reward Distributions for LLM Reasoning
arXiv 2025
A Survey of Reinforcement Learning for Large Reasoning Models
arXiv 2025
P1: Mastering Physics Olympiads with Reinforcement Learning
arXiv 2025
InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy
arXiv 2025
Towards a Unified View of Large Language Model Post-Training
arXiv 2025
From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery
arXiv 2025
Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny
arXiv 2025
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond
arXiv 2025
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling
arXiv 2025
GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning
arXiv 2025
Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows
arXiv 2025
Efficient Diffusion Models: A Comprehensive Survey from Principles to Practices
arXiv 2024
Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization
arXiv 2024
LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion
CVPR 2024 1
MAG-SQL: Multi-Agent Generative Approach with Soft Schema Linking and Iterative Sub-SQL Refinement for Text-to-SQL
arXiv 2024
Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation
arXiv 2024
Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding
arXiv 2024
How to Synthesize Text Data without Model Collapse?
arXiv 2024
Advancing LLM Reasoning Generalists with Preference Trees
arXiv 2024
UltraMedical: Building Specialized Generalists in Biomedicine
arXiv 2024
Free Process Rewards without Process Labels
arXiv 2024
Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System
arXiv 2024
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
arXiv 2024
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
EMNLP
Sparse Low-rank Adaptation of Pre-trained Language Models
arXiv 2023
PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning
arXiv 2023
CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model
arXiv 2023
LMD: Faster Image Reconstruction with Latent Masking Diffusion
arXiv 2023
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