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Fei Cheng

Kyoto University, National Institute of Informatics

28 papers hereh-index 15909 citations78 works total

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

author position
  • first author1
  • middle author22
  • last author3

Across the 26 of 28 papers where every author was matched, so the position is known.

fields
  • cs.CL20
  • cs.AI3
  • cs.CY3
  • cs.CV2
affiliations
  • Kyoto University, National Institute of Informatics
Homepage
same name
  • Fei Cheng — 4 papers, h 2
  • Fei Cheng — 2 papers, h 1
  • Fei Cheng — 2 papers, h 1
  • Fei Cheng — 1 paper, h 0
  • Fei Cheng — 1 paper, h 5
  • Fei Cheng — 1 paper, h 1

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
most citedCross-lingual Embedding Clustering for Hierarchical Softmax in Low-Resource Multilingual Speech Recognition

1 citations · 1 across the 9 of their papers we have counts for

collaborators
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2026

Tailoring the Curriculum: Student-Centered Reasoning Distillation via Dynamic Data-Model Compatibility

Jiahao Huang, Fei Cheng, Junfeng Jiang +1

Reasoning distillation transfers complex reasoning abilities from large language models (LLMs) to smaller ones, yet its success depends on how well the training data align with the…

cs.AI2026

BenchTrace: A Benchmark for Testing Reflection Ability and Controlled Evolution in LLM Agents

Jiahao Huang, Fei Cheng, Junfeng Jiang +2

Self-evolving agents improve over time by reflecting on past failures, but existing evaluation is limited in two ways: it measures only task scores, leaving reflection quality unkn…

cs.AI2024

Ethical Implications of ChatGPT in Higher Education: A Scoping Review

Ming Li, Ariunaa Enkhtur, Fei Cheng +1

This scoping review explores the ethical challenges of using ChatGPT in higher education. By reviewing recent academic articles in English, Chinese, and Japanese, we aimed to provi…

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