Monica Xiao Cheng

21 papers A* 8Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs.
CoRR
Shenglai Zeng, Tianqi Zheng, Chuan Tian, Dante Everaert, Yau-Shian Wang, Yupin Huang, Michael J. Morais, Rohit Patki, Jinjin Tian, Xinnan Dai, Kai Guo, Monica Xiao Cheng, Hui Liu
2026 J jnl
Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR.
CoRR
Haobo Xu, Sirui Chen, Ruizhong Qiu, Yuchen Yan, Chen Luo, Monica Xiao Cheng, Jingrui He, Hanghang Tong
2026 J jnl
Subspace Alignment for Vision-Language Model Test-time Adaptation.
CoRR
Zhichen Zeng, Wenxuan Bao, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Xuying Ning, Yuchen Yan, Chen Luo, Monica Xiao Cheng, Jingrui He, Hanghang Tong
2026 J jnl
The World Won't Stay Still: Programmable Evolution for Agent Benchmarks.
CoRR
Guangrui Li, Yaochen Xie, Yi Liu, Ziwei Dong, Xingyuan Pan, Tianqi Zheng, Jason Choi, Michael J. Morais, Binit Jha, Shaunak Mishra, Bingrou Zhou, Chen Luo, Monica Xiao Cheng, Dawn Song
2025 — conf
Large Language Model for E-Commerce Workshop.
WWW (Companion Volume)
Haoyu Han, Xianfeng Tang, Jing Huang, Monica Xiao Cheng, Omar Alonso, Hanqing Lu, Zhen Li, Chen Luo, Dawei Yin, Jiliang Tang
2025 — conf
Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs.
EMNLP (Findings)
Yunzhe Qi, Jinjin Tian, Tianci Liu, Ruirui Li, Tianxin Wei, Hui Liu, Xianfeng Tang, Monica Xiao Cheng, Jingrui He
2025 — conf
Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective.
NAACL (Long Papers)
Shenglai Zeng, Jiankun Zhang, Bingheng Li, Yuping Lin, Tianqi Zheng, Dante Everaert, Hanqing Lu, Hui Liu, Yue Xing, Monica Xiao Cheng, Jiliang Tang
2025 J jnl
Two-Step Offline Preference-Based Reinforcement Learning on Explicitly Constrained Policies.
Trans. Mach. Learn. Res.
Yinglun Xu, Tarun Suresh, Rohan Gumaste, David Zhu, Ruirui Li, Zhengyang Wang, Haoming Jiang, Xianfeng Tang, Qingyu Yin, Monica Xiao Cheng, Qi Zeng, Chao Zhang, Gagandeep Singh
2025 A* conf
Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning.
ICLR
Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, Jing Gao
2025 J jnl
Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning.
CoRR
Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, Jing Gao
2024 A* conf
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering.
EMNLP
Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, Chen Luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao
2024 A* conf
LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data.
ICDE
Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao
2024 A* conf
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning.
EMNLP
Haoyu Wang, Tianci Liu, Ruirui Li, Monica Xiao Cheng, Tuo Zhao, Jing Gao
2024 — conf
Session-Aware Product filter Ranking in E- Commerce Search.
Tiny Papers @ ICLR
Hanqing Lu, Xianfeng Tang, Chen Luo, Limeng Cui, Zhenwei Dai, Rahul Goutam, Haiyang Zhang, Monica Xiao Cheng
2024 J jnl
Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective.
CoRR
Shenglai Zeng, Jiankun Zhang, Bingheng Li, Yuping Lin, Tianqi Zheng, Dante Everaert, Hanqing Lu, Hui Liu, Yue Xing, Monica Xiao Cheng, Jiliang Tang
2023 A* conf
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy.
KDD
Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang
2023 J jnl
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy.
CoRR
Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang
2023 A* conf
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.
NeurIPS
Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
2023 J jnl
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.
CoRR
Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
2023 A* conf
Exploiting Intent Evolution in E-commercial Query Recommendation.
KDD
Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Xiao Cheng, Bing Yin, Suhang Wang, Philip S. Yu
2023 A* conf
LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models.
KDD
Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao