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Bin Cui — most-cited papers & profile · Large Language Models
← authors
·
overview
Bin Cui
55
papers ·
297
citations ·
57
h-index
Peking University · Nanjing University of Posts and Telecommunications
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Most-cited papers
Squeezeattention: 2D Management Of Kv-cache In LLM Inference Via Layer-wise Optimal Budget
2024 · 17 citations
DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models
2026
PilotRL: Training Language Model Agents via Global Planning-Guided Progressive Reinforcement Learning
2025
HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation
2025
TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge Distillation
2025
FUSION: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding
2025
Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions
2025
DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI
2025
SAS-Bench: A Fine-Grained Benchmark for Evaluating Short Answer Scoring with Large Language Models
2025
Data Proportion Detection for Optimized Data Management for Large Language Models
2024
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
2024
Clover: Regressive Lightweight Speculative Decoding with Sequential Knowledge
2024
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
2024
SuperCorrect: Supervising and Correcting Language Models with Error-Driven Insights
2024
Baichuan Alignment Technical Report
2024
Top co-authors
Wentao Zhang
· 11
Hao Liang
· 5
Conghui He
· 4
Ling Yang
· 4
Chengyu Shen
· 3
Guosheng Dong
· 3
Lu Ma
· 3
Meiyi Qiang
· 3
Minkai Xu
· 3
Runming He
· 3
Xiaochen Ma
· 3
Zhaochen Yu
· 3
Topics
Training Techniques
Efficiency
Model Architecture
Fine-Tuning
Vision-Language
Evaluation
Code
In-Context Learning
Reinforcement Learning
pipelines