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Bo Zheng

The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models
2026 · Ni, Zanlin, Wang, Shenzhi, et al. · arXiv (Cornell University) · 31
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Parallel Latent Reasoning for Sequential Recommendation
2026 · Tang, Jiakai, Chen, Xu, et al. · arXiv (Cornell University) · 22
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RollArt: Disaggregated Multi-Task Agentic RL Training at Scale
2025 · Gao, Wei, Zhao, Yuheng, et al. · arXiv (Cornell University) · 13
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PolicySim: An LLM-Based Agent Social Simulation Sandbox for Proactive Policy Optimization
2026 · Renhong Huang, Ning Tang, et al. · International World Wide Web Conference (WWW) · 7
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TSGR: Taobao Search Generative Retrieval
2026 · Zhan, Tianyu, Ling, Gui, et al. · arXiv (Cornell University) · 6
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Surprise Forcing: What to Remember, When to Skip in Long Video Generation
2026 · Shuwei Shi, Zhen Li, et al. · Lecture notes in computer science · 5
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ReaSeq: Unleashing World Knowledge via Reasoning for Sequential Modeling
2025 · Tang, Jiakai, Wang, Chuan, et al. · arXiv (Cornell University) · 4
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How Does Reasoning Flow? Tracing Attention-Induced Information Flow for Targeted RL in LLMs
2026 · Dong, Zhichen, Li, Yang, et al. · arXiv (Cornell University) · 3
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DecisionLLM: Large Language Models for Long Sequence Decision Exploration
2026 · Lv, Xiaowei, Zhang, Zhilin, et al. · arXiv (Cornell University) · 3
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One Sample to Rule Them All: Extreme Data Efficiency in Multidiscipline Reasoning with Reinforcement Learning
2026 · Li, Yiyuan, Huang, Zhen, et al. · arXiv (Cornell University) · 3
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AndroidLens: Long-latency Evaluation with Nested Sub-targets for Android GUI Agents
2025 · Cao, Yue, Wang, Yingyao, et al. · arXiv (Cornell University) · 3
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The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning
2026 · Liang, Jing, Tang, Hongyao, et al. · arXiv (Cornell University) · 2
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SPARC: Sequence-aware Progressive Attribute Routing and Compression Framework for Generative Recommendation
2026 · Liu, Chang, Wu, Changfa, et al. · arXiv (Cornell University) · 1
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Learning to Trust: Dynamic Utilization of Retrieval-Augmented Generation for E-commerce Search Relevance
2026 · Tingqiao Xu, Shaowei Yao, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 1
Support-Adaptive Complexity Control for Longitudinal Counterfactual Prediction
2026 · Zhe Wang, Rui Wang, et al. · ACM International Conference on Information and Knowledge Management (CIKM)
E-GenRM: Generative Reward Modeling for Open-Ended E-Commerce Shopping Agents
2026 · Sun, Ying, Zhao, Qiuyu, et al. · arXiv (Cornell University)
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RecIS: Unifying Sparse and Dense Computation for Efficient Recommendation Training
2026 · Zong, Hua, Yang, Shuai, et al. · arXiv (Cornell University)
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Beyond Single Videos: Benchmarking and Active Evidence Seeking for E-Commerce Cross-Video Reasoning
2026 · Zhao, Jinghan, Hu, Yiman, et al. · arXiv (Cornell University)
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Behavior2Value: Benchmarking and Empowering LLMs for Consumer Value Measurement from E-commerce Behaviors
2026 · Hou, Peixuan, Chen, Bin, et al. · arXiv (Cornell University)
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Usb: a Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models
2026 · Association for Computational Linguistics 2026, Chen, Guanlin, et al. · Underline Science Inc.
GRAPHIA: Harnessing Social Graph Data to Enhance LLM-Based Social Simulation
2026 · Association for Computational Linguistics 2026, Ji, JiaRui, et al. · Underline Science Inc.
CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling
2026 · Association for Computational Linguistics 2026, Chen, Haibin, et al. · Underline Science Inc.
ShopSimulator: Evaluating and Exploring RL-Driven LLM Agent for Shopping Assistants
2026 · Association for Computational Linguistics 2026, Chen, Gengru, et al. · Underline Science Inc.
SELECting over Tokens: Curating Pre-training Data at Scale via Token Classification
2026 · Association for Computational Linguistics 2026, Chen, Haibin, et al. · Underline Science Inc.
Enabling Agents to Communicate Entirely in Latent Space
2026 · Association for Computational Linguistics 2026, ., Yucheng, et al. · Underline Science Inc.
Works count: 32
Citation count: 104
H-index: 5
I10-index: 3
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