Get started
Author

Ning Ding

Towards Large-Scale In-Context Reinforcement Learning by Meta-Training in Randomized Worlds
2025 · Fan Wang, Pengtao Shao, et al. · neural information processing systems · 2
PDF
DePass: Unified Feature Attributing by Simple Decomposed Forward Pass
2025 · Xiangyu Hong, Che Jiang, et al. · neural information processing systems · 1
Rethinking On-Policy Distillation of Large Language Models II: One Training Example
2026 · Fu, Zixuan, He, Bingxiang, et al. · arXiv (Cornell University)
PDF
Safin-1: Safety from Within through Memory-Native State Evolution
2026 · Zhang, Ming, Yang, Kaisen, et al. · arXiv (Cornell University)
PDF
SimpleOPD: Simple Tokenizer-Agnostic On-Policy Distillation for Long-Context Reasoning
2026 · He, Haonan, Lei, Haodi, et al. · arXiv (Cornell University)
PDF
Intern-S2-Mobius: Foundation Model with Decoupled Knowledge and Reasoning
2026 · Chen, Kai, Ding, Jifeng, et al. · arXiv (Cornell University)
PDF
MARCH: Scaling Recurrent Memory with Content-Routed State Anchors
2026 · Zhang, Ming, Yang, Kaisen, et al. · arXiv (Cornell University)
PDF
Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering
2026 · Yang, Junlin, Jiang, Che, et al. · arXiv (Cornell University)
PDF
Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
2026 · Li, Yaxuan, Zuo, Yuxin, et al. · arXiv (Cornell University)
PDF
Stateful Evidence-Driven Retrieval-Augmented Generation with Iterative Reasoning
2026 · Dong, Qi, Lin, Ziheng, et al. · arXiv (Cornell University)
PDF
LiveClawBench: Benchmarking LLM Agents on Complex, Real-World Assistant Tasks
2026 · Long, Xiang, Du, Li, et al. · arXiv (Cornell University)
PDF
How Far Can Unsupervised RLVR Scale LLM Training?
2026 · He, Bingxiang, Zuo, Yuxin, et al. · arXiv (Cornell University)
PDF
Heterogeneous Agent Collaborative Reinforcement Learning
2026 · Zhang, Zhixia, Huang, Zixuan, et al. · arXiv (Cornell University)
PDF
MeKi: Memory-based Expert Knowledge Injection for Efficient LLM Scaling
2026 · Ning Ding, Fangcheng Liu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Draft-OPD: On-Policy Distillation for Speculative Draft Models
2026 · Haodi Lei, Yafu Li, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Agent Exploration toward Artificial General Intelligence: A Survey
2026 · Yikun Ban, Fengkai Yang, et al. · SSRN Electronic Journal
PDF
Works count: 16
Citation count: 3
H-index: 1
I10-index:
Year
Topic
Type