From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 14 more institutions on single bylines are not listed.

Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7Computer Science · 3 works Artificial Intelligence · 3 works Decision Sciences · 1 work Arts and Humanities · 1 work Language and Linguistics · 1 work Computational Theory and Mathematics · 1 work Management Science and Operations Research · 1 work

🧭 Topics 2Language models & pretraining · 1 work Reasoning · 1 work

Works by year

2020s

20252 papers 20241 paper

Papers

The most cited first (OpenAlex and our library).

OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework (2024 · 140 citations)
Training LLMs with RLHF and RLVR, especially with PPO, is dominated by text generation. The authors say this phase can take more than 90% of runtime when models produce long chain-of-thought outputs. Existing tools also force a trade-off. TRL, DeepSpeed-Chat and ColossalChat are approachable but weak at inference…
REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization (2025 · 104 citations)
Critic-free reinforcement learning methods for aligning LLMs, such as GRPO and RLOO, avoid the memory and compute cost of PPO's value network.
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models (2025 · 58 citations)
Researchers disagree on whether RL with verifiable rewards teaches LLMs new reasoning or only makes already-reachable answers more likely.

Co-authors here

12 of 14 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2025

Cited by

Papers of our library cite their works 298 times (of the 149,439 papers whose bibliographies we read); 79 citing papers with a page here →.

Updated 2 November 2026

This page in Markdown → https://md.research.elamur.ai/free/en/authors/jian-hu/

🧑‍🔬 Jian Hu

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

🤝 Co-authors here

Venues

🔗 Cited by

Jian Hu

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by