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Xiangyu Zhao

MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search
2026 · Sheng Zhang, Junyi Li, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1
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BalanceSFT: Improving LLM Function Calling with Balanced Training Signals and Data Hardness
2026 · Bingguang Hao, Zengzhuang Xu, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
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PsychEthicsBench: Evaluating Large Language Models Against Australian Mental Health Ethics
2026 · Yaling Shen, Stephanie Fong, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
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CGFformer: Cluster-guidance frequency Transformer for pansharpening
2026 · Zijian Zhou, Jianing Zhang, et al. · Pattern Recognition
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MTA:A Merge-then-Adapt Framework for Personalized Large Language Models
2026 · Association for Computational Linguistics 2026, He, Haiying, et al. · Underline Science Inc.
Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory
2026 · Association for Computational Linguistics 2026, Chen, Enhong, et al. · Underline Science Inc.
Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval
2026 · Zhang, Yingyi, Li, Junyi, et al. · arXiv (Cornell University)
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To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention
2026 · Zhang, Wenlin, Dong, Kuicai, et al. · arXiv (Cornell University)
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Enhancing Conversational Agents via Task-Oriented Adversarial Memory Adaptation
2026 · Deng, Yimin, Fu, Yuqing, et al. · arXiv (Cornell University)
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Exploring Recommender System Evaluation: A Multi-Modal User Agent Framework for A/B Testing
2026 · Zhang, Wenlin, Li, Xiangyang, et al. · arXiv (Cornell University)
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Can LLMs Hear the Dogwhistle?
2026 · Yifan Liu, Yi Lin, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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MultiDx: A Multi-Source Knowledge Integration Framework towards Diagnostic Reasoning
2026 · Yimin Deng, Zhenxi Lin, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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AdapTime: Enabling Adaptive Temporal Reasoning in Large Language Models
2026 · Yimin Deng, Yejing Wang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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MTA:A Merge-then-Adapt Framework for Personalized Large Language Models
2026 · Xiaopeng Li, Yuanjin Zheng, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Tandem: Riding Together with Large and Small Language Models for Efficient Reasoning
2026 · Zichuan Fu, Xian Wu, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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SEARCH-R: Structured Entity-Aware Retrieval with Chain-of-Reasoning Navigator for Multi-hop Question Answering
2026 · FU Yuqing, Yimin Deng, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Select Before Use: On the Importance of Reference Model Selection in Preference Alignment
2026 · Muyang Li, Runze Wu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory
2026 · Derong Xu, Shuochen Liu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Works count: 18
Citation count: 3
H-index: 1
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