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Xun Yang

53 papers hereh-index 262.2k citations138 works total

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

author position
  • middle author32
  • last author17

Across the 49 of 53 papers where every author was matched, so the position is known.

fields
  • cs.CV41
  • cs.CL4
  • cs.IR4
  • cs.AI3
  • cs.LG1
same name
  • Xun Yang — 7 papers, h 5
  • Xun Yang — 4 papers, h 4
  • Xun Yang — 3 papers, h 25
  • Xun Yang — 3 papers, h 2
  • Xun Yang — 2 papers, h 1
  • Xun Yang — 1 paper, h 3

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
20242026
collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2025

Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning

Chongyuan Dai, Jinpeng Hu, Hongchang Shi +4

Amidst a shortage of qualified mental health professionals, the integration of large language models (LLMs) into psychological applications offers a promising way to alleviate the…

cs.CL2025

Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs

Haowen Pan, Xiaozhi Wang, Yixin Cao +4

Knowledge editing aims to update outdated information in Large Language Models (LLMs). A representative line of study is locate-then-edit methods, which typically employ causal tra…

cs.CL2024

PsycoLLM: Enhancing LLM for Psychological Understanding and Evaluation

Jinpeng Hu, Tengteng Dong, Luo Gang +6

Mental health has attracted substantial attention in recent years and LLM can be an effective technology for alleviating this problem owing to its capability in text understanding…

cs.CL2024

Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers

Haowen Pan, Yixin Cao, Xiaozhi Wang +2

Understanding the internal mechanisms by which multi-modal large language models (LLMs) interpret different modalities and integrate cross-modal representations is becoming increas…

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