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Lin Chen — most-cited papers & profile · Large Language Models
← authors
·
overview
Lin Chen
66
papers ·
110
citations ·
14
h-index
Chinese Academy of Sciences · Shandong Institute of Automation · Beijing Academy of Artificial Intelligence · University of Chinese Academy of Sciences
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Most-cited papers
ShareGPT4Video: Improving Video Understanding and Generation with Better Captions
2024 · 33 citations
Internalizing Meta-Experience into Memory for Guided Reinforcement Learning in Large Language Models
2026
UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated Supervision
2026
Paying Less Generalization Tax: A Cross-Domain Generalization Study of RL Training for LLM Agents
2026
CharacterFlywheel: Scaling Iterative Improvement of Engaging and Steerable LLMs in Production
2026
ACC: Compiling Agent Trajectories for Long-Context Training
2026
Flow-OPD: On-Policy Distillation for Flow Matching Models
2026
VCR-Bench: A Comprehensive Evaluation Framework for Video Chain-of-Thought Reasoning
2025
MIGRATION-BENCH: Repository-Level Code Migration Benchmark from Java 8
2025
CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios
2025
FlowRL: Matching Reward Distributions for LLM Reasoning
2025
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs
2024
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output
2024
MM-Ego: Towards Building Egocentric Multimodal LLMs
2024
InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions
2024
Top co-authors
Feng Zhao
· 7
Zehui Chen
· 7
Yu Zeng
· 6
Zhen Fang
· 5
Dahua Lin
· 4
Haodong Duan
· 4
Jiaqi Wang
· 4
Kai Chen
· 3
Pan Zhang
· 3
Shiting Huang
· 3
Wenxuan Huang
· 3
Xiaoyi Dong
· 3
Topics
Training Techniques
Vision-Language
Evaluation
Reinforcement Learning
Fine-Tuning
Model Architecture
Efficiency
In-Context Learning
Code
Agentic