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Ping Nie — most-cited papers & profile · Large Language Models
← authors
·
overview
Ping Nie
24
papers ·
11
citations ·
0
h-index
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Most-cited papers
SETA: Scaling Environments for Terminal Agents
2026
Dr-DCI: Scaling Direct Corpus Interaction via Dynamic Workspace Expansion
2026
VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search
2025
ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations
2025
VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation
2025
Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem
2025
VisCoder: Fine-Tuning LLMs for Executable Python Visualization Code Generation
2025
BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent
2025
EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing
2025
BrowserAgent: Building Web Agents with Human-Inspired Web Browsing Actions
2025
VisCoder2: Building Multi-Language Visualization Coding Agents
2025
Top co-authors
Wenhu Chen
· 10
Kai Zou
· 6
Xiang Yue
· 4
Zhiheng Lyu
· 3
Jimmy Lin
· 2
Xueguang Ma
· 2
Yi Lu
· 2
Yiming Jia
· 2
Yuansheng Ni
· 2
Yubo Wang
· 2
Zhuofeng Li
· 2
Ahmed Awelkair
· 1
Topics
Evaluation
Fine-Tuning
Training Techniques
RAG
Vision-Language
Code
Efficiency
Reinforcement Learning
Agentic
LLMs