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Ying Shan — most-cited papers & profile · Large Language Models
← authors
·
overview
Ying Shan
60
papers ·
231
citations ·
51
h-index
Tencent (China) · Jinhua University of Vocational Technology · Zhejiang University of Finance and Economics
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Semantic Scholar ↗
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Most-cited papers
ST-LLM: Large Language Models Are Effective Temporal Learners
2024 · 23 citations
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction
2023 · 6 citations
E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding
2024 · 1 citations
GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers
2025
Exploring the Effect of Reinforcement Learning on Video Understanding: Insights from SEED-Bench-R1
2025
Sci-Fi: Symmetric Constraint for Frame Inbetweening
2025
GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning
2025
AudioStory: Generating Long-Form Narrative Audio with Large Language Models
2025
TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs
2025
Planting a SEED of Vision in Large Language Model
2023
M^2UGen: Multi-modal Music Understanding and Generation with the Power of Large Language Models
2023
VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation
2023
LLaMA Pro: Progressive LLaMA with Block Expansion
2024
SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension
2024
Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots
2024
Top co-authors
Yixiao Ge
· 16
Yuying Ge
· 10
Teng Wang
· 3
Yi Chen
· 3
Chengyue Wu
· 2
Chen Li
· 2
Haoran Tang
· 2
Jiahao Wang
· 2
Ping Luo
· 2
Rui Wang
· 2
Ruyang Liu
· 2
Shijie Ma
· 2
Topics
Vision-Language
Training Techniques
Model Architecture
Evaluation
Fine-Tuning
Efficiency
Code
Reinforcement Learning
RAG
In-Context Learning