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Author

Ran Tao

WorkFactory: Turning Professional Intents into Executable Work for Scalable Agent Training
2026 · Zeng, Ziyang, Chen, Tingyang, et al. · arXiv (Cornell University)
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SLIDE: Search-to-List Item Distillation for Single-Rollout Generative Retrieval
2026 · Zhan, Tianyu, Ling, Gui, et al. · arXiv (Cornell University)
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Multiscale Policy Optimization for Long-Horizon LLM Agents
2026 · Ren, Tao, Yang, Hui, et al. · arXiv (Cornell University)
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IQuest-Q1: Advancing Foundation Capabilities for Agentic CLI Systems
2026 · Yang, A. Jian, Huang, An, et al. · arXiv (Cornell University)
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Harness Scaling for Generalizable Agentic Reinforcement Learning
2026 · Bai, Fei, Song, Huatong, et al. · arXiv (Cornell University)
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Evolving with Open Worlds: Towards Recursive Self-Improvement for Future Forecasting
2026 · Chen, Zhipeng, Liang, Yunsen, et al. · arXiv (Cornell University)
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Late Attention Layers Alone Can Copy Entity Tokens, but Not Without Attending to Their Context
2026 · He, Muyu, Liu, Yuchen, et al. · arXiv (Cornell University)
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Loop the Loopies!
2026 · Gao, Zitian, Chen, Yilong, et al. · arXiv (Cornell University)
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LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling
2026 · Yang, Jian, Guo, Shawn, et al. · arXiv (Cornell University)
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Polymorphic Universal Transformer
2026 · Association for Computational Linguistics 2026, Chen, Yilong, et al. · Underline Science Inc.
Beyond N-gram: Data-Aware X-GRAM Extraction for Efficient Embedding Parameter Scaling
2026 · Chen, Yilong, Xie, Yanxi, et al. · arXiv (Cornell University)
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InCoder-32B-Thinking: Industrial Code World Model for Thinking
2026 · Jian Yang, Wei Zhang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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LoopCoder: Scaling Code Intelligence via Looped Language Models
2026 · Jian Yang, Wei Zhang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Polymorphic Universal Transformer
2026 · Yilong Chen, Zitian Gao, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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GenCTL: Constraint-Guided LLM Generation of Verifiable CTL Specifications from Natural Language Requirements
2026 · Ran Tao
Universal Reasoning Model
2025 · Gao, Zitian, Chen, Lynx, et al. · arXiv (Cornell University)
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Works count: 16
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