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Zixin Chen

16 papers hereh-index 344 citations19 works total

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

author position
  • first author7
  • middle author8
  • last author1

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.HC7
  • cs.AI3
  • cs.CL3
  • cs.CV2
  • cs.LG1
same name
  • Zixin Chen — 5 papers, h 4
  • Zixin Chen — 4 papers, h 2
  • Zixin Chen — 1 paper, h 1
  • Zixin Chen — 1 paper, h 1
  • Zixin Chen — 1 paper, h 3
  • Zixin Chen — 1 paper, h 2

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

works on
agentic reasoning 1chart analysis 1evidence grounding 1large language models 1optical character recognition 1peer review 1revision verification 1scientific writing 1vision-language models 1visual deception detection 1

From the 2 of 16 linked papers with an AI index.

activity
20242026
collaborators
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2026

TACT: Taxonomy-Aligned Post-Training for Pedagogically Adaptive English Tutoring

Dongjie Yang, Siyan Lin, Leixian Shen +3

Large language models (LLMs) are increasingly used to provide conversational practice for English-as-a-second-language (ESL) learners. Effective ESL tutoring, however, requires mor…

cs.AI2026

TeachArena: Are Language Agents Ready for Realistic Teaching Work?

Zixin Chen, Peng Liu, Rui Sheng +6

Language agents are increasingly deployed in professional workflows, yet tutoring remains a high-stakes capability that existing evaluations only partially capture. Effective tutor…

cs.AI2026

Does Theory of Mind Improvement Really Benefit Human-AI Interactions? Empirical Findings from Interactive Evaluations

Nanxu Gong, Zixin Chen, Haotian Li +5

Improving the Theory of Mind (ToM) capability of Large Language Models (LLMs) is crucial for effective social interactions between these AI models and humans. However, the existing…

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