Beijing, China

Mingyang

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@nick7nlp

NLP Researcher @ Tencent | Efficient LLM Reasoning | Long-Context Evaluation

scholar.google.com/citations?hl=en&user=3aBZza8AAAAJ

Awesome-LLM-On-Policy-Distillation. A curated collection of papers and resources on On-Policy Distillation for Large Language Models.

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Counting-Stars. Counting-Stars (★)

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FastCuRL. FastCuRL: Curriculum Reinforcement Learning with Stage-wise Context Scaling for Efficient LLM Reasoning (EMNLP 2025)

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Jamba_Paper_Reading. Paper reading: Jamba — Hybrid Transformer-Mamba LM (SSM → S4 → S6 → Jamba)

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ConciseR. Walk Before You Run! Concise LLM Reasoning via Reinforcement Learning

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evol-ruozhiba.

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nick7nlp. Profile README

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Hunyuan-MT. Hunyuan Machine Translation — 🥇 1st in 30/31 WMT25 language pairs

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