Bin Cui
- Papers
- 35
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Authored papers
35DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models
arXiv 2026
ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch
arXiv 2026
DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI
arXiv 2025
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening
arXiv 2025
Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions
arXiv 2025
FUSION: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding
arXiv 2025
LoVR: A Benchmark for Long Video Retrieval in Multimodal Contexts
arXiv 2025
Let's Verify Math Questions Step by Step
arXiv 2025
SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling
arXiv 2025
HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation
arXiv 2025
SAS-Bench: A Fine-Grained Benchmark for Evaluating Short Answer Scoring with Large Language Models
arXiv 2025
From Uniform to Heterogeneous: Tailoring Policy Optimization to Every Token's Nature
arXiv 2025
Training-free Diffusion Acceleration with Bottleneck Sampling
arXiv 2025
CFBench: A Comprehensive Constraints-Following Benchmark for LLMs
arXiv 2024
SysBench: Can Large Language Models Follow System Messages?
arXiv 2024
SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget
arXiv 2024
Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning
arXiv 2024
MathScape: Evaluating MLLMs in multimodal Math Scenarios through a Hierarchical Benchmark
arXiv 2024
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
arXiv 2024
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
arXiv 2024
Consistency Flow Matching: Defining Straight Flows with Velocity Consistency
arXiv 2024
VideoTetris: Towards Compositional Text-to-Video Generation
arXiv 2024
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
arXiv 2024
SuperCorrect: Supervising and Correcting Language Models with Error-Driven Insights
arXiv 2024
FlexSP: Accelerating Large Language Model Training via Flexible Sequence Parallelism
arXiv 2024
SynthVLM: High-Efficiency and High-Quality Synthetic Data for Vision Language Models
arXiv 2024
RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
arXiv 2024
Contextualized Diffusion Models for Text-Guided Image and Video Generation
arXiv 2024
Clover: Regressive Lightweight Speculative Decoding with Sequential Knowledge
arXiv 2024
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
arXiv 2023
Experimental Analysis of Large-scale Learnable Vector Storage Compression
arXiv 2023
Diffusion Models: A Comprehensive Survey of Methods and Applications
arXiv 2022
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation
arXiv 2021
EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate
dense-to-sparse-gate-for-mixture-of-experts
Evaluating Deep Graph Neural Networks
evaluating-deep-graph-neural-networks-1
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