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Ling Yang

Postdoc, Princeton University

5 papers at NeurIPS 2025

Homepage· OpenReview· Semantic Scholar· Google Scholar

Poster Session 1

1 paper
Wednesday, December 3, 2025 · 11:00 AM → 2:00 PM
Exhibit Hall C,D,E
HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation
#4805 · Ling Yang, Xinchen Zhang, Ye Tian, Shiyi Zhang, Chenming Shang, Minghao Xu, Wentao Zhang, Bin CUI

Poster Session 4

1 paper
Thursday, December 4, 2025 · 4:30 PM → 7:30 PM
Exhibit Hall C,D,E
Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning
#3608 Spotlight · Jiaru Zou, Yikun Ban, Zihao Li, Yunzhe Qi, Ruizhong Qiu, Ling Yang, Jingrui He

A new learning framework that improves LLM inference by learning from a Mistake Log collected during fine-tuning.

Poster Session 5

2 papers
Friday, December 5, 2025 · 11:00 AM → 2:00 PM
Exhibit Hall C,D,E
MMaDA: Multimodal Large Diffusion Language Models
#4811 · Ling Yang, Ye Tian, Bowen Li, Xinchen Zhang, Ke Shen, Yunhai Tong, Mengdi Wang
ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs
#3717 · Jiaru Zou, Ling Yang, Jingwen Gu, Jiahao Qiu, Ke Shen, Jingrui He, Mengdi Wang

Poster Session 6

1 paper
Friday, December 5, 2025 · 4:30 PM → 7:30 PM
Exhibit Hall C,D,E
CURE: Co-Evolving Coders and Unit Testers via Reinforcement Learning
#3710 Spotlight · Yinjie Wang, Ling Yang, Ye Tian, Ke Shen, Mengdi Wang

We propose a co-evolving reinforcement learning method that jointly optimizes the coder and unit tester without relying on ground-truth code supervision.