I study LLMs and love building things

Zhuoyuan Hao (Larry Hao)

I am Zhuoyuan Hao (郝卓远, Larry Hao).

I work on LLM reasoning and reinforcement learning: why reasoning models behave the way they do, and how learning systems quietly optimize the wrong objective. Graduated in three years from Harbin Institute of Technology, Shenzhen (HITSZ), advised by Jing Li. Pursuing a 2-year MPhil in Computer Science and Engineering at HKUST, advised by May Fung. Research intern at the THUAIS Lab, Tsinghua University, advised by Xiaozhi Wang.

Reasoning

Reward hacking

Tencent CSIG, CodeBuddy — research intern

2026

  • Agent SFT for coding models: data-mixture design and rubric-based refinement for distilling frontier-model agent traces into an 8B model.
  • Train–serve-consistent loss masking for rollout traces (loss only on model-generated tokens).

Tencent IEG, Technology Operations — research intern

2025

  • LLM post-training for IT-operations (SRE) agents: fault-injection and tool-invocation environments, reward design, SFT-CoT distillation, and synthetic-data selection for continual pre-training.
  • Shipped to IEG’s internal operations stack, with a community version open-sourced on ModelScope.

Date Match

100k+ questionnaires in the first 10 days, 170k+ users in the first month.

Psychology-based compatibility matching app; co-founder and algorithm lead.

LiveGalGame

Top-3 contributor (2.5k+ stars).

Fixes the bug that real-life conversations ship without dialogue options: live subtitles, choices, and an affection meter over real conversations.

CodexBar

Top-10 contributor (20k+ stars).

macOS menu-bar usage stats for OpenAI Codex and Claude Code.