Ning Ding

Affiliations

Tsinghua University

papers

1,076

total citations

papers (19)

Learning to Focus: Causal Attention Distillation via Gradient‐Guided Token Pruning

NEURIPS 2025arXiv

citations

Towards Large-Scale In-Context Reinforcement Learning by Meta-Training in Randomized Worlds

NEURIPS 2025arXiv

citations

Sparse Structure Search for Delta Tuning

NEURIPS 2022

citations

CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning

CVPR 2023

citations

Network Expansion for Practical Training Acceleration

CVPR 2023

citations

Upright-Net: Learning Upright Orientation for 3D Point Cloud

CVPR 2022

citations

Ning Ding

Affiliations

papers (19)

ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback

Advancing LLM Reasoning Generalists with Preference Trees

Source-Free Domain Adaptation via Distribution Estimation

TTRL: Test-Time Reinforcement Learning

MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Length-Controllable Image Captioning

TP-LSD: Tri-Points Based Line Segment Detector

Predicting Emergent Abilities with Infinite Resolution Evaluation

Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning

How to Synthesize Text Data without Model Collapse?

Scaling Physical Reasoning with the PHYSICS Dataset

The Overthinker's DIET: Cutting Token Calories with DIfficulty-AwarE Training

Learning to Focus: Causal Attention Distillation via Gradient‐Guided Token Pruning

Towards Large-Scale In-Context Reinforcement Learning by Meta-Training in Randomized Worlds

Sparse Structure Search for Delta Tuning

CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning

Network Expansion for Practical Training Acceleration

Upright-Net: Learning Upright Orientation for 3D Point Cloud

papers (19)

ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback

Advancing LLM Reasoning Generalists with Preference Trees

Source-Free Domain Adaptation via Distribution Estimation

TTRL: Test-Time Reinforcement Learning

MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Length-Controllable Image Captioning

TP-LSD: Tri-Points Based Line Segment Detector

Predicting Emergent Abilities with Infinite Resolution Evaluation

Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning

How to Synthesize Text Data without Model Collapse?

Scaling Physical Reasoning with the PHYSICS Dataset

The Overthinker's DIET: Cutting Token Calories with DIfficulty-AwarE Training

Learning to Focus: Causal Attention Distillation via Gradient‐Guided Token Pruning

Towards Large-Scale In-Context Reinforcement Learning by Meta-Training in Randomized Worlds

Sparse Structure Search for Delta Tuning

CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning

Network Expansion for Practical Training Acceleration

Upright-Net: Learning Upright Orientation for 3D Point Cloud