# DaoyuanLi2816/pairjudge

<https://repo.masters-masters.com/en/repos/DaoyuanLi2816/pairjudge>

[Home](https://repo.masters-masters.com/en) › [DaoyuanLi2816](https://repo.masters-masters.com/en/owners/DaoyuanLi2816) › [pairjudge](https://repo.masters-masters.com/en/repos/DaoyuanLi2816/pairjudge)

DaoyuanLi2816/pairjudge has 170 stars on GitHub. Its RepoMasters card: Prototype tier. Pairwise LLM judges (A/B/tie): budget-aware multi-turn packing…

| Field | Value |
| --- | --- |
| Owner | [DaoyuanLi2816](https://repo.masters-masters.com/en/owners/DaoyuanLi2816) |
| Stars | 170 |
| Forks | 12 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | gold-medal, kaggle-competition, llm, nlp, kaggle-solution, chatbot-arena, llm-as-judge, lora, preference-learning, reward-model |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [DaoyuanLi2816/pairjudge](https://github.com/DaoyuanLi2816/pairjudge) |

## Repository

Pairwise LLM judges (A/B/tie): budget-aware multi-turn packing, position-bias correction, pseudo-label distillation. Generalized from the 4th-place (gold) solution to Kaggle LMSYS Chatbot Arena.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.