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Chao Zhang — most-cited papers & profile · Large Language Models
← authors
·
overview
Chao Zhang
190
papers ·
3634
citations ·
52
h-index
PLA Information Engineering University · Shandong Jiaotong University · National Center for Infectious Diseases
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Most-cited papers
EAGLE-3: Scaling Up Inference Acceleration Of Large Language Models Via Training-time Test
2025 · 185 citations
Assessing Logical Puzzle Solving In Large Language Models: Insights From A Minesweeper Case Study
2023 · 21 citations
Adapting LLM Agents with Universal Feedback in Communication
2023 · 6 citations
video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model
2025 · 2 citations
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
2025 · 1 citations
WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
2025 · 1 citations
video-SALMONN-R$^3$: Learning to ReWatch, ReAsk, and ReAnswer for Efficient Video Understanding
2026
FlashEvolve: Accelerating Agent Self-Evolution with Asynchronous Stage Orchestration
2026
OScaR: The Occam's Razor for Extreme KV Cache Quantization in LLMs and Beyond
2026
Revisiting DAgger in the Era of LLM-Agents
2026
Revisiting the Reliability of Language Models in Instruction-Following
2025
TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework
2025
Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only
2025
Understanding the Dilemma of Unlearning for Large Language Models
2025
Towards Understanding the Cognitive Habits of Large Reasoning Models
2025
Top co-authors
Yuchen Zhuang
· 5
Bing Yin
· 3
Bo Dai
· 3
Fangyun Wei
· 3
Han Qiu
· 3
Haoming Jiang
· 3
Liang Qiu
· 3
Rongzhi Zhang
· 3
Rushi Qiang
· 3
Yuhui Li
· 3
Changhao Li
· 2
Changlong Yu
· 2
Topics
Training Techniques
Fine-Tuning
Efficiency
Model Architecture
Reinforcement Learning
Agentic
Evaluation
RAG
Prompting
Code