Yiming Yang

papers

4,341

total citations

papers (13)

Self-Refine: Iterative Refinement with Self-Feedback

NEURIPS 2023arXiv

2,786

citations

Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision

NEURIPS 2023arXiv

409

citations

Rethinking Transformer-Based Set Prediction for Object Detection

ICCV 2021arXiv

369

citations

Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing

NEURIPS 2020arXiv

259

citations

SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch

AAAI 2025arXiv

citations

Regularized Langevin Dynamics for Combinatorial Optimization

ICML 2025arXiv

citations

Yiming Yang

papers (13)

Self-Refine: Iterative Refinement with Self-Feedback

Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision

Rethinking Transformer-Based Set Prediction for Object Detection

Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing

DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization

DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems

Violin: A Large-Scale Dataset for Video-and-Language Inference

In-Context Principle Learning from Mistakes

Optimizing Temperature for Language Models with Multi-Sample Inference

Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo

Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning

SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch

Regularized Langevin Dynamics for Combinatorial Optimization

papers (13)

Self-Refine: Iterative Refinement with Self-Feedback

Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision

Rethinking Transformer-Based Set Prediction for Object Detection

Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing

DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization

DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems

Violin: A Large-Scale Dataset for Video-and-Language Inference

In-Context Principle Learning from Mistakes

Optimizing Temperature for Language Models with Multi-Sample Inference

Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo

Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning

SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch

Regularized Langevin Dynamics for Combinatorial Optimization