Zhou Yu

Researcher, Amazon

Joined

November 2021

Names

Zhou Yu (Preferred)

Emails

****@gmail.com (Confirmed)

****@amazon.com (Confirmed)

Personal Links

Career & Education History

Researcher

Amazon (amazon.com)

2018 – 2026

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training
Chenlu Ye, Zhou Yu, Ziji Zhang, Hao Chen, Narayanan Sadagopan, Jing Huang, Tong Zhang, Anurag Beniwal
- MATH-AI 2025 Poster
- Readers: Everyone
Rethinking Alignment in Cross-Lingual Knowledge Transfer
Xueying Bai, Yingying Zhuang, Zhou Yu, Jing Huang, Ziji Zhang, Aman Gupta, Anurag Beniwal
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training
Chenlu Ye, Zhou Yu, Ziji Zhang, Hao Chen, Narayanan Sadagopan, Jing Huang, Tong Zhang, Anurag Beniwal
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
TOD-ProcBench: Benchmarking Complex Instruction-Following in Task-Oriented Dialogues
Sarik Ghazarian, Abhinav Gullapalli, Swair Shah, Anurag Beniwal, Nanyun Peng, Narayanan Sadagopan, Zhou Yu
- MTI-LLM @ NeurIPS 2025 Poster
- Readers: Everyone
Stylistic Shifts in Human–LLM Conversations: Challenges and Adaptation
Fulei Zhang, Zhou Yu
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Semantic Volume: Quantifying and Detecting both External and Internal Uncertainty in LLMs
Xiaomin Li, Zhou Yu, Ziji Zhang, Yingying Zhuang, Swair Shah, Narayanan Sadagopan, Anurag Beniwal
- SPIGM @ NeurIPS
- Readers: Everyone
When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs
Xiaomin Li, Zhou Yu, Zhiwei Zhang, Xupeng Chen, Ziji Zhang, Yingying Zhuang, Narayanan Sadagopan, Anurag Beniwal
- NeurIPS 2025 spotlight
- Readers: Everyone

Zhou Yu

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Rethinking Alignment in Cross-Lingual Knowledge Transfer

Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

TOD-ProcBench: Benchmarking Complex Instruction-Following in Task-Oriented Dialogues

Stylistic Shifts in Human–LLM Conversations: Challenges and Adaptation

Semantic Volume: Quantifying and Detecting both External and Internal Uncertainty in LLMs

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Co-Authors