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Jue Zhang

20 papers hereh-index 11356 citations27 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author18

Across the 19 of 20 papers where every author was matched, so the position is known.

fields
  • cs.AI6
  • cs.CL4
  • cs.DC3
  • cs.CR2
  • cs.SE2
  • cs.CV1
same name
  • Jue Zhang — 19 papers, h 13
  • Jue Zhang — 3 papers, h 2
  • Jue Zhang — 2 papers, h 2
  • Jue Zhang — 2 papers, h 2
  • Jue Zhang — 2 papers, h 2
  • Jue Zhang — 1 paper, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedTaskWeaver: A Code-First Agent Framework

6 citations · 19 across the 20 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.AI2025

From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models

Jue Zhang, Qingwei Lin, Saravan Rajmohan +1

Large Reasoning Models (LRMs) generate explicit reasoning traces alongside final answers, yet the extent to which these traces influence answer generation remains unclear. In this…

cs.CR2025

Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents

Shouju Wang, Fenglin Yu, Xirui Liu +5

The increasing autonomy of LLM agents in handling sensitive communications, accelerated by Model Context Protocol (MCP) and Agent-to-Agent (A2A) frameworks, creates urgent privacy…

cs.CL2025

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf

Lingxiang Hu, Shurun Yuan, Xiaoting Qin +5

In contemporary workplaces, meetings are essential for exchanging ideas and ensuring team alignment but often face challenges such as time consumption, scheduling conflicts, and in…

cs.SE2025★ 1 cited

Enabling Autonomic Microservice Management through Self-Learning Agents

Fenglin Yu, Fangkai Yang, Xiaoting Qin +8

The increasing complexity of modern software systems necessitates robust autonomic self-management capabilities. While Large Language Models (LLMs) demonstrate potential in this do…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.