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Min Zhang

25 papers hereh-index 6104 citations26 works total

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

author position
  • middle author18
  • last author5

Across the 23 of 25 papers where every author was matched, so the position is known.

fields
  • cs.CL13
  • cs.IR7
  • cs.AI4
  • cs.LG1
same name
  • Min Zhang — 49 papers, h 11
  • Min Zhang — 32 papers, h 11
  • Min Zhang — 27 papers, h 7
  • Min Zhang — 24 papers, h 26
  • Min Zhang — 23 papers, h 9
  • Min Zhang — 20 papers, h 10

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 citedBrainLLM: Generative Language Decoding from Brain Recordings

19 citations · 24 across the 23 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.IR2025

Are Recommenders Self-Aware? Label-Free Recommendation Performance Estimation via Model Uncertainty

Jiayu Li, Ziyi Ye, Guohao Jian +4

Can a recommendation model be self-aware? This paper investigates the recommender's self-awareness by quantifying its uncertainty, which provides a label-free estimation of its per…

cs.CL2025

Augmenting Multi-Agent Communication with State Delta Trajectory

Yichen Tang, Weihang Su, Yujia Zhou +4

Multi-agent techniques such as role playing or multi-turn debates have been shown to be effective in improving the performance of large language models (LLMs) in downstream tasks.…

cs.AI2025

Evaluating Intelligence via Trial and Error

Jingtao Zhan, Jiahao Zhao, Jiayu Li +7

Intelligence is a crucial trait for species to find solutions within a limited number of trial-and-error attempts. Building on this idea, we introduce Survival Game as a framework…

cs.IR2025

Improving GenIR Systems Based on User Feedback

Qingyao Ai, Zhicheng Dou, Min Zhang

In this chapter, we discuss how to improve the GenIR systems based on user feedback. Before describing the approaches, it is necessary to be aware that the concept of "user" has be…

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