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Published in COLM 2024 & KnowledgeNLP@ACL 2024 (Oral), 2024
We present a comprehensive study of the robustness of LLMs to different types of irrelevant information under various conditions.
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Published in NeurIPS 2025 (Spotlight), 2025
We propose ARM, a reasoning model capable of adaptively selecting appropriate reasoning formats based on the task at hand.
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Published in arXiv preprint, 2026
Step 3.5 Flash is our most capable open-source foundation model, built for frontier reasoning and agentic tasks with exceptional efficiency.
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Published in arXiv preprint, 2026
We propose CODA, which scales reasoning by difficulty, reducing overthinking on easy tasks while promoting deeper reasoning on hard ones.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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