- π€ Hugging Face: https://huggingface.co/datasets/AdrianMiao/PRL_Bench
- π Arxiv: https://arxiv.org/pdf/2604.15411
PRL-Bench (Physics Research by LLMs) is a research-oriented benchmark for evaluating large language models on end-to-end physics research tasks, with emphasis on exploration, long-horizon reasoning, and verifiable workflows.
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Source
Constructed from 100 authoritative papers from Physical Review Letters (PRL) (Aug 2025 β Mar 2026) -
Subfield Coverage
- Astrophysics (Astro)
- Condensed Matter (Cond-Mat)
- High-Energy Physics (HEP)
- Quantum Information (Quantum)
- Statistical Physics (Stat)
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Exploration-oriented (implicit solution paths) and long-horizon task with verifiable outputs
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Structure of TaskοΌResearch Motivation, Subtasks, Answers & Rubrics and Detailed solution
We evaluate frontier LLMs under a unified setting with tool access for code execution. Each task is independently run multiple times, and results are averaged and normalized to a 0β100 scale.
| Model | Astro | Cond-Mat | HEP | Quantum | Stat | Global |
|---|---|---|---|---|---|---|
| GPT-5.4 | 35.02 | 37.49 | 30.99 | 40.37 | 33.88 | 37.38 |
| Gemini-3.1-Pro | 37.41 | 43.74 | 47.52 | 47.64 | 40.76 | 44.27 |
| Claude-Opus-4.6 | 28.75 | 39.36 | 40.46 | 39.98 | 32.10 | 37.40 |
| Doubao-Seed-2.0-Pro | 28.76 | 40.49 | 35.55 | 42.67 | 24.94 | 37.83 |
| Qwen-3.5-Plus | 34.51 | 42.82 | 37.16 | 43.72 | 25.87 | 40.05 |
| Kimi-K2.5 | 27.86 | 34.42 | 31.82 | 38.16 | 25.71 | 33.89 |
Average performance of state-of-the-art LLMs on PRL-Bench.
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Frontier models achieve <50 average score (best β 44.27), indicating that end-to-end research-oriented physics tasks remain highly challenging.
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Failures are dominated by:
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Conceptual / formulaic errors
Inappropriate theoretical models or formulas, misuse of physical assumptions, and reliance on superficially relevant but incorrect templates, indicating insufficient mastery of frontier-level physics knowledge. -
Unstable long-horizon reasoning
Derivation chains often become inconsistent or break under extended reasoning, with unsupported intermediate steps and difficulty maintaining coherent trajectories, limiting completion of full research workflows.
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