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Yichun Yin

MATCH: Modulating Attention via In‑Context Retrieval for Long‑Context Transformers
2026 · Association for Computational Linguistics 2026, Chen, Hanting, et al. · Underline Science Inc.
Discover and Prove: An Open-source Agentic Framework for Hard Mode Automated Theorem Proving in Lean 4
2026 · Association for Computational Linguistics 2026, Li, Siqi, et al. · Underline Science Inc.
Switch Attention: Towards Dynamic and Fine-grained Hybrid Transformers
2026 · Yusheng Zhao, Hourun Li, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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LoopMoE: Unifying Iterative Computation with Mixture-of-Experts for Language Modeling
2026 · Wenkai Chen, Tianshu Li, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers
2026 · Linrui Ma, Chun Hei Lo, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Discover and Prove: An Open-source Agentic Framework for Hard Mode Automated Theorem Proving in Lean 4
2026 · Chengwu Liu, Yichun Yin, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Works count: 7
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