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Dongmei Zhang
Institution:
Microsoft (United States)
Observed institution:
Microsoft (United States)
OpenAlex ID:
A5139773764
RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository
2026
·
Zhiyuan Peng
, Xin Yin
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
1
PDF
Gradient-Guided Multi-Judge Prompt Optimization
2026
·
ChenZhuo Zhao
, Xinda Wang
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
CAST: Achieving Stable LLM-based Text Analysis for Data Analytics
2026
·
Jinxiang Xie
, Zihao Li
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
Zipage: Maintain High Request Concurrency for LLM Reasoning through Compressed PagedAttention
2026
·
Mengqi Liao
, Lu Wang
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
PDF
CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents
2026
·
Wenjie Fu
, Xiaoting Qin
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
DUET: Joint Exploration of User–Item Profiles in Recommendation System
2026
·
Yue Chen
, Yifei Sun
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
PDF
EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video
2026
·
Yuanmin Tang
, Jue Zhang
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals
2026
·
Lihao Sun
, Hang Dong
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding Data
2026
·
Shiping Yang
, Jie Wu
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
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Works count:
9
Citation count:
1
H-index:
1
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