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Tencent-Hunyuan/Hyra-results

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Tencent-Hunyuan/Hyra-results

Description: Research artifacts from Hyra (Hunyuan Research Agent)

Language: Python

License: NOASSERTION

Stars: 20

Forks: 1

Open issues: 0

Created: 2026-07-17T02:27:25Z

Pushed: 2026-07-20T15:43:18Z

Default branch: main

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README:

Hyra Results

Companion artifacts for Hyra: Hnyuan Research Agent.

This repository collects concrete solutions that Hyra produced across a range of open problems in science, mathematics, engineering, and creative design, released alongside the Hyra launch post. Each folder holds the final solution artifact and, where relevant, the self-contained scripts that reproduce it.

> 📝 Launch post: [hy.tencent.com/research/hyra](https://hy.tencent.com/research/hyra)

Results

Each row compares the best prior published result (Prev best, from the cited system or leaderboard) against Hyra. Arrows mark the better direction (↓ lower is better, ↑ higher is better); the Hyra-winning value is in bold.

| Track | Task | Metric | Prev best | Hyra | |---|---|---|---|---| | AI4AI | [nanochat_autoresearch](AI4AI/nanochat_autoresearch/) | val BPB ↓ | 0.9109 e | 0.9015 | | | [nanogpt_speedrun](AI4AI/nanogpt_speedrun/) | wall-clock ↓ | 77.5 s e | 76.4 s | | | [sol_execbench](AI4AI/sol_execbench/) | score ↑ | 0.754 e | 0.771 | | AI4Science | [autocorrelation_first](AI4Science/autocorrelation_first/) | C₁ ↓ | 1.502870 a | 1.502850 | | | [autocorrelation_second](AI4Science/autocorrelation_second/) | R ↑ | 0.962694 b | 0.962901 | | | [erdos_min_overlap](AI4Science/erdos_min_overlap/) | C₅ ↓ | 0.380868 b | 0.380859 | | | [sums_diffs](AI4Science/sums_diffs/) | C(A) ↑ | 1.14489 b | 1.15971 | | | [packing_records](AI4Science/packing_records/) | records broken | n/a f | 100 | | | [smallest_adder](AI4Science/smallest_adder/) | params ↓ | 36 c | 15 | | | [parp1_docking](AI4Science/parp1_docking/) | objective ↓ | −9.77 d | −10.60 | | | [qubit_routing](AI4Science/qubit_routing/) | CNOTs added ↓ | 269,037 b | 258,369 | | | [sunspot_symbolic](AI4Science/sunspot_symbolic/) | forecast R² ↑ | 0.47 g | 0.78 |

Prev-best sources.

  • a TTT-Discover: *Learning to Discover at Test

Time* (arXiv:2601.16175).

  • b

SimpleTES: *Evaluation-driven Scaling for Scientific Discovery* (arXiv:2604.19341).

  • c AdderBoard

trained-weights leaderboard (github.com/anadim/AdderBoard).

  • d Olaparib, an approved PARP1 inhibitor (drug baseline).
  • e Recursive: *First Steps Toward Automated AI Research*

(github.com/recursive-org/first-steps-toward-automated-ai-research); AI4AI baselines: nanoGPT-speedrun, nanochat, and SOL-ExecBench.

  • f Erich Friedman's *Packing Center*

(erich-friedman.github.io/packing). Hyra's record-improving packings are credited there as "Found by Haowei Lin": 100 across 28 shape-in-shape families, each beating the previously listed best.

  • g Baseline: a "copy last frame" (persistence) forecast. Hyra's score is

the forecast R² on a fully-held-out, half-century-long segment of the record.

Metrics are as defined by each benchmark; comparisons are against the cited published results.

Metric notes.

  • C₁: first autoconvolution/autocorrelation constant, max(f∗f)/(∫f)² (minimize).
  • R: second autocorrelation ratio, ‖f∗f‖₂² / (‖f∗f‖₁·‖f∗f‖∞) (maximize).
  • C₅: Erdős minimum-overlap constant (minimize).
  • C(A): sum-vs-difference exponent, log(|A+A|/|A|) / log(|A−A|/|A|) (maximize).
  • params: unique trainable parameters of a transformer that adds two

10-digit integers at ≥ 0.99 accuracy (minimize).

  • objective: PARP1 docking objective, Vina score + 10·(1 − QED) (minimize).
  • CNOTs added: extra CNOTs inserted by SWAP routing (minimize; 1 SWAP = 3 CNOTs).
  • forecast R²: rolling-origin, free-running (24-month) forecast R² for monthly

sunspot numbers (maximize).

> Note. The results above are current as of 2026-07-10. Several of these > problems live on public, continuously-updated leaderboards; later entries there > may *warm-start from Hyra's published solutions* to reach still-better numbers.

AI4Fun

Creative and game-playing demos (no leaderboard comparison):

  • [AI4Fun/reversi/](AI4Fun/reversi/): a **AlphaZero-style

Reversi (Othello) bot** for the Botzone 8×8 arena (C++ pattern/n-tuple net + PUCT-MCTS + exact endgame solver).

  • [AI4Fun/music/](AI4Fun/music/): a five-part arrangement of 望春風

(*Bāng-chhun-hong*, 1933, 鄧雨賢).

  • [AI4Fun/3d_penguin/](AI4Fun/3d_penguin/): a procedural 3-D QQ-penguin

built by a single Blender bpy script.

  • [AI4Fun/3d_hunyuan/](AI4Fun/3d_hunyuan/): a procedural **3-D Tencent Hunyuan

(混元) logo orb**.

Citation

If you use these results, please cite:

@misc{hyra2026,
title = {Hyra: Hunyuan Research Agent},
author = {{Hyra Team}},
year = {2026},
howpublished = {\url{https://hy.tencent.com/research/hyra}},
}

License

This repository is licensed under the Apache License, Version 2.0; see [LICENSE](LICENSE).