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Yinglong Xia

Structuring and Tokenizing Distributed User Interest Context for Generative Recommendation
2026 · Ruizhong Qiu, Yinglong Xia, et al. · ACM Conference on Recommender Systems (RecSys)
Self-Evolving Memory for Generative Recommendation
2026 · Lin, Xinyu, Jiang, Zhuosong, et al. · arXiv (Cornell University)
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Auto-RecSys: Harnessing Autonomous Research Agents for Industry-Scale Recommender System
2026 · Li, Ming, Li, Dai, et al. · arXiv (Cornell University)
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Inference-Time Graph Engineering for Multi-Agent LLM Workflows
2026 · Tieu, Katherine, Fu, Dongqi, et al. · arXiv (Cornell University)
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Knowledge Distillation During Mid-Training Favors Reasoning over Factual Recall
2026 · He, Jacqueline, Yen, Howard, et al. · arXiv (Cornell University)
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KVEraser: Learning to Steer KV Cache for Efficient Localized Context Erasing
2026 · Li, Mufei, Liu, Shikun, et al. · arXiv (Cornell University)
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ChronoID: Infusing Explicit Temporal Signals into Semantic IDs for Generative Recommendation
2026 · Nian, Dongdong, Fu, Dongqi, et al. · arXiv (Cornell University)
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Towards Direct Latent-Space Synthesis for Parallel Branches in LLM-Agent Workflows
2026 · Liu, Shikun, Li, Mufei, et al. · arXiv (Cornell University)
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DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts
2026 · Feng, Jiarui, Zeng, Hanqing, et al. · arXiv (Cornell University)
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Toward User Preference Alignment in LLM Recommendation via Explicit Context Feedback
2026 · Zhang, Weizhi, Yang, Wooseong, et al. · arXiv (Cornell University)
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Verifiable Reasoning for LLM-based Generative Recommendation
2026 · Lin, Xinyu, Zeng, Hanqing, et al. · arXiv (Cornell University)
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Text Has Curvature
2026 · Grover, Karish, Zeng, Hanqing, et al. · arXiv (Cornell University)
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A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents
2026 · Huang, Wei-Chieh, Zhang, Weizhi, et al. · arXiv (Cornell University)
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Works count: 13
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