Cheng Tan
- Papers
- 23
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Authored papers
23NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation
arXiv 2026
PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documents
arXiv 2026
The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook
arXiv 2026
Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora
arXiv 2026
The Trinity of Consistency as a Defining Principle for General World Models
arXiv 2026
RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution
arXiv 2026
PAGER: Bridging the Semantic-Execution Gap in Point-Precise Geometric GUI Control
arXiv 2026
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers
arXiv 2025
Envision: Benchmarking Unified Understanding & Generation for Causal World Process Insights
arXiv 2025
MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization
CVPR 2025 1
GGBench: A Geometric Generative Reasoning Benchmark for Unified Multimodal Models
arXiv 2025
Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks
arXiv 2024
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer
arXiv 2024
Switch EMA: A Free Lunch for Better Flatness and Sharpness
arXiv 2024
Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions
arXiv 2024
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
arXiv 2024
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
openstl-a-comprehensive-benchmark-of-spatio
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
arXiv 2023
Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training
arXiv 2023
SemiReward: A General Reward Model for Semi-supervised Learning
arXiv 2023
SimVPv2: Towards Simple yet Powerful Spatiotemporal Predictive Learning
arXiv 2022
NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers
arXiv 2022
PiFold: Toward effective and efficient protein inverse folding
arXiv 2022
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