Xuying Ning

News

Selected Publications

Selected papers and preprints. See a fuller list on Google Scholar.

* denotes equal contribution.

• 2026
• EvoHarness-RL: Learning Self-Evolving Runtime Harness for Long-Horizon LLM Agents
  COLM 2026 LLA Workshop
  Work in Progress
  Xuying Ning, Dongqi Fu, Tianxin Wei, Hanqing Zeng, Yuanchen Bei, Bingxuan Li, Zihao Li, Qifan Wang, Xiang Shen, Yifan Wu, Jiayi Liu, Hong Li, Yinglong Xia, Xiangjun Fan, Hanghang Tong, Jingrui He
  Key Insight: Optimizes agent harness coordination with reinforcement learning for sustained self-improvement on long-horizon tasks.
  Paper
  agent llm memory
• Code as Agent Harness
  arXiv 2026
  Xuying Ning, Katherine Tieu, Dongqi Fu, Tianxin Wei, Zihao Li, Yuanchen Bei, Jiaru Zou, Mengting Ai, Zhining Liu, Ting-Wei Li, Lingjie Chen, Yanjun Zhao, Ke Yang, Bingxuan Li, Cheng Qian, Gaotang Li, Xiao Lin, Zhichen Zeng, Ruizhong Qiu, Sirui Chen, Yifan Sun, Xiyuan Yang, Ruida Wang, Rui Pan, Chenyuan Yang, Dylan Zhang, Liri Fang, Zikun Cui, Yang Cao, Pan Chen, Dorothy Sun, Ren Chen, Mahesh Srinivasan, Nipun Mathur, Yinglong Xia, Hong Li, Hong Yan, Pan Lu, Lingming Zhang, Tong Zhang, Hanghang Tong, Jingrui He
  Key Insight: Treats executable code as a harness for agent deployment, evaluation, and improvement.
  Paper Code
  agent llm survey
• MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains
  ICLR 2026 Oral (Top 1%)
  Xuying Ning*, Dongqi Fu*, Tianxin Wei*, Mengting Ai, Jiaru Zou, Ting-Wei Li, Hanghang Tong, Yada Zhu, Hendrik Hamann, Jingrui He
  Key Insight: Structured long reasoning chains for multimodal agentic search.
  Paper Code
  agentic search multimodal llm
• Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
  arXiv 2025
  Tianxin Wei, Noveen Sachdeva, Benjamin Coleman, Zhankui He, Yuarchen Bei, Xuying Ning, Mengting Ai, Yunzhe Li, Jingrui He, Ed H. Chi, Chi Wang, Shuo Chen, Fernando Pereira, Wang-Cheng Kang, Derek Zhiyuan Cheng
  Key Insight: LLM agents that autonomously build and refine memory from experience at test time.
  Paper Code
  agent memory
• Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents
  ACL 2026 Main
  Yuanchen Bei, Tianxin Wei, Xuying Ning, Yanjun Zhao, Zhining Liu, Xiao Lin, Yada Zhu, Hendrik Hamann, Jingrui He, Hanghang Tong
  Key Insight: Benchmark exposing MLLM agents' failure in long-term multimodal conversational memory.
  Paper Code
  agent multimodal memory
• PaperMind: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs
  ACL 2026 Findings
  Yanjun Zhao*, Tianxin Wei, Jiaru Zou, Xuying Ning, Yuanchen Bei, Lingjie Chen, Simmi Rana, Wendy H. Yang, Hanghang Tong, Jingrui He
  Key Insight: Benchmark for evaluating multimodal LLM reasoning and critique over scientific papers.
  Paper Code
  agent multimodal
• AdaFuse: Adaptive Ensemble Decoding with Test-Time Scaling for LLMs
  ACL 2026 Main
  Chengming Cui*, Tianxin Wei, Ziyi Chen, Ruizhong Qiu, Zhichen Zeng, Zhining Liu, Xuying Ning, Duo Zhou, Jingrui He
  Key Insight: Fuses multiple LLM outputs adaptively at decode time via test-time scaling.
  Paper Code
  llm reasoning
• CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation
  RecSys 2026
  Tianxin Wei*, Xuying Ning*, Xuxing Chen, Ruizhong Qiu, Yupeng Hou, Yan Xie, Shuang Yang, Zhigang Hua, Jingrui He
  Key Insight: Hierarchical tokenization bridging semantics and collaboration for generative recommendation.
  Paper Code
  recommendation generative
• 2025
• Graph4MM: Weaving Multimodal Learning with Structural Information
  ICML 2025
  Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, Jingrui He
  Key Insight: Graph structure as inductive bias for richer multimodal representations.
  Paper Code
  multimodal graph
• I²VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation
  UAI 2025
  Xuying Ning, Wujiang Xu, Tianxin Wei, Xiaolei Liu
  Key Insight: Variational interest augmentation for cross-domain sequential recommendation.
  Paper Code
  recommendation
• AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
  EMNLP 2025 Main
  Junyu Zhang, Runpei Dong, Han Wang, Xuying Ning, Haoran Geng, Peihao Li, Xialin He, Yutong Bai, Jitendra Malik, Saurabh Gupta, Huan Zhang
  Key Insight: Modulates slow-to-fast reasoning at test time to improve both reasoning accuracy and efficiency.
  Paper Code
  llm reasoning
• SLMRec: Empowering Small Language Models for Sequential Recommendation
  ICLR 2025
  Wujiang Xu, Qitian Wu, Zujie Liang, Jiaojiao Han, Xuying Ning, Wenfang Lin, Linxun Chen, Feng Wei, Yongfeng Zhang
  Key Insight: Distills large language models into efficient small models for sequential recommendation.
  Paper Code
  recommendation llm

Work Experience

Meta

May - Aug 2026 · Menlo Park, CA

Research Scientist Intern · MRS

Ant Group

Jul 2023 - Apr 2024 · Hangzhou, China

Research Scientist Intern · MyBank

Awards & Honors

Gallery

Shot on a Fujifilm X-S20 (16–80mm).