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Shengyuan Ding — most-cited papers & profile · Large Language Models
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Shengyuan Ding
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Most-cited papers
FARS: A Fully Automated Research System Deployed at Scale
2026
Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale
2026
ARM-Thinker: Reinforcing Multimodal Generative Reward Models with Agentic Tool Use and Visual Reasoning
2025
NP-Engine: Empowering Optimization Reasoning in Large Language Models with Verifiable Synthetic NP Problems
2025
NP-Engine: Empowering Optimization Reasoning in Large Language Models with Verifiable Synthetic NP Problems
2025
SPARK: Synergistic Policy And Reward Co-Evolving Framework
2025
OPT-BENCH: Evaluating LLM Agent on Large-Scale Search Spaces Optimization Problems
2025
MM-IFEngine: Towards Multimodal Instruction Following
2025
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model
2025
Topics
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Vision-Language Models
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Model-Based RL
RLHF & Alignment
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