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Haobin Jiang

Haobin Jiang is a Peking University PhD student whose public profiles describe research in reinforcement learning, robotics, and LLM post-training.

Peking University PhD student working on reinforcement learning, robotics, and LLM post-training.1 organizations1 reports

Profile status: updated

updated 3 public sources
report_authorreinforcement learningroboticsLLM post-training

Current frame

Peking University PhD student working on reinforcement learning, robotics, and LLM post-training.

Extended note

Public profiles identify Haobin Jiang as a PhD student at Peking University since 2020, following undergraduate study there from 2016 to 2020. His OpenReview profile lists reinforcement learning as an expertise area, and his linked GitHub profile describes work spanning RL, robotics, and LLM post-training.

Education

Peking University Education entry 2020
Peking University Education entry 2016 → 2020

Public links

github SigmaBM google_scholar Google Scholar openreview OpenReview

Organizations

core ByteDance Seed

Reports

Report Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning

Official and primary sources

Haobin Jiang | OpenReview Official source · openreview · OpenReview

Supporting sources

SigmaBM (H.B. Jiang) · GitHub Supporting source · github · GitHub Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning Supporting source · report · arXiv