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Post-Training Language Models for Gold-Medal Performance in Coding Competitions

2026-09-07 12:00 Models 🔥 42.2 heat score
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The researchers proposed an end-to-end specialized pipeline, combining large-scale problem screening, synthetic reasoning trajectories, supervised fine-tuning, and reinforcement learning training for the Nemotron-3-Nano-CC and Ultra-CC models. In the IOI 2025 competition, Nano-CC scored 291 points after post-training adjustments, and with the introduction of the GenCorrect strategy, its score increased to 468 points, exceeding the gold medal threshold; Ultra-CC scored 502 points. Based on these results, the specialized Ultra-CC system scored 535.4 points in the IOI 2026 pre-competition evaluation, under the same time, network connectivity, and submission restrictions, exceeding both the gold medal threshold and the highest score of human competitors. It is claimed that this is the first AI system to exceed the highest score of human competitors on the IOI problem set.

Related eventsRELATED EVENTS
Key entitiesKEY ENTITIES
GenCorrectNemotron-3-Nano-CCNemotron-3-Ultra-CC

Coverage · reports per dayLANGUAGE SPLIT

Entity relations
GenCorrect × Nemotron-3…1GenCorrect × Nemotron-3…1Nemotron-3-Nano-CC × Ne…1

SignalsSIGNALS

Keyword heat
  • Nemotron-3-Nano-CC1
  • Nemotron-3-Ultra-CC1
  • GenCorrect1

All reports (1)SOURCES

A arXiv cs.AI en 2026-09-07 12:00

Post-Training Language Models for Gold-Medal Performance in Coding Competitions

研究人员提出端到端专业化管道,结合大规模问题筛选、合成推理轨迹、监督微调及强化学习训练 Nemotron-3-Nano-CC 与 Ultra-CC 模型。在 IOI 2025 竞赛中,Nano-CC 经后训练得分达 291 分,引入 GenCorrect 策略后提升至 468 分,超越金牌阈值;Ultra-CC 得分为 502。基于此结果开发的专用 Ultra-CC 系统在 IOI 2026 前瞻评估中,在相同时间、联网及提交限制下得分 535.4 分,超越金牌阈值与最高人类选手分数。据称这是首个在 IOI 题目集上超越最高分人类选手的 AI 系统。