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Han Zhou

University of Cambridge

22 papers hereh-index 13865 citations23 works total

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

author position
  • first author7
  • middle author14

Across the 21 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CL11
  • cs.LG6
  • cs.AI4
  • cs.SE1
affiliations
  • University of Cambridge
Homepage
same name
  • Han Zhou — 15 papers, h 10
  • Han Zhou — 11 papers, h 3
  • Han Zhou — 10 papers, h 2
  • Han Zhou — 5 papers, h 3
  • Han Zhou — 5 papers
  • Han Zhou — 4 papers, h 6

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
20222026
most citedAligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators

10 citations · 37 across the 22 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

Voxtral TTS

Mistral-AI, :, Alexander H. Liu +186

We introduce Voxtral TTS, an expressive multilingual text-to-speech model that generates natural speech from as little as 3 seconds of reference audio. Voxtral TTS adopts a hybrid…

cs.AI2026

Voxtral Realtime

Mistral-AI, :, Alexander H. Liu +166

We introduce Voxtral Realtime, a natively streaming automatic speech recognition model that matches offline transcription quality at sub-second latency. Unlike approaches that adap…

cs.AI2025

Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration

Xingchen Wan, Han Zhou, Ruoxi Sun +4

Text-to-image (T2I) models, while offering immense creative potential, are highly reliant on human intervention, posing significant usability challenges that often necessitate manu…

cs.AI2025★ 5 cited

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems

Jinyuan Fang, Yanwen Peng, Xi Zhang +12

Recent advances in large language models have sparked growing interest in AI agents capable of solving complex, real-world tasks. However, most existing agent systems rely on manua…

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