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title: "Kai Chen — papers of 2025 — 6 papers, the most cited first"
description: "Kai Chen — papers of 2025: 6 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Kai Chen — papers of 2025 — 6 papers, the most cited first

6 papers · [all years of Kai Chen](https://md.research.elamur.ai/free/en/authors/kai-chen/#years)

- [Intern-S1: A Scientific Multimodal Foundation Model arXiv:2508.15763](https://md.research.elamur.ai/free/en/papers/bai-2025-intern-s1-scientific-multimodal/) — Lei Bai, Zhongrui Cai, Yuhang Cao, et al. · 2025 · 19 citations

**[CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward](https://md.research.elamur.ai/free/en/papers/liu-2025-compassverifier-unified-robust-verifier-llms/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shudong Liu, Hongwei Liu, Junnan Liu, et al.*2025 · 16 citations*

**[What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices](https://md.research.elamur.ai/free/en/papers/chen-2025-what-are-essential-factors-crafting/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhi Chen, Qiguang Chen, Libo Qin, et al.*2025 · 15 citations*

- [Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models arXiv:2505.03469](https://md.research.elamur.ai/free/en/papers/yu-2025-long-short-chain-thought-mixture/) — Bin Yu, Hang Yuan, Haotian Li, et al. · 2025 · 13 citations

**[Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement](https://md.research.elamur.ai/free/en/papers/cao-2025-condor-enhance-llm-alignment-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Maosong Cao, Taolin Zhang, Mo Li, et al.*2025 · 11 citations*

**[FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models](https://md.research.elamur.ai/free/en/papers/fan-2025-fedmkt-federated-mutual-knowledge-transfer/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Tao Fan, Guoqiang Ma, Yan Kang, et al.*2025 · 10 citations*