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Zheng Zhang

14 papers hereh-index 72.1k citations17 works total

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

author position
  • middle author10

Across the 10 of 14 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.CL4
  • cs.LG3
  • cs.CV2
  • cs.CR1
same name
  • Zheng Zhang — 63 papers, h 47
  • Zheng Zhang — 31 papers, h 28
  • Zheng Zhang — 29 papers, h 31
  • Zheng Zhang — 20 papers, h 43
  • Zheng Zhang — 19 papers, h 9
  • Zheng Zhang — 16 papers, h 11

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 citedKimi K2: Open Agentic Intelligence

14 citations · 32 across the 14 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026★ 2 cited

Kimi K2.5: Visual Agentic Intelligence

Kimi Team, Tongtong Bai, Yifan Bai +333

We introduce Kimi K2.5, an open-source multimodal agentic model designed to advance general agentic intelligence. K2.5 emphasizes the joint optimization of text and vision so that…

cs.CL2025

Detecting Emotional Dynamic Trajectories: An Evaluation Framework for Emotional Support in Language Models

Zhouxing Tan, Ruochong Xiong, Yulong Wan +8

Emotional support is a core capability in human-AI interaction, with applications including psychological counseling, role play, and companionship. However, existing evaluations of…

cs.CL2024

Mixture of Hidden-Dimensions Transformer

Yilong Chen, Junyuan Shang, Zhengyu Zhang +6

Transformer models encounter challenges in scaling hidden dimensions efficiently, as uniformly increasing them inflates computational and memory costs while failing to emphasize th…

cs.CL2023

A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest

Ruohong Zhang, Luyu Gao, Chen Zheng +6

Large Language Models (LLMs), despite their great power in language generation, often encounter challenges when dealing with intricate and knowledge-demanding queries in specific d…

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