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Haotian Liu

4 papers hereh-index 110 citations9 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CV1
  • eess.SY1
same name
  • Haotian Liu — 12 papers, h 7
  • Haotian Liu — 6 papers, h 3
  • Haotian Liu — 6 papers, h 6
  • Haotian Liu — 3 papers, h 5
  • Haotian Liu — 3 papers, h 2
  • Haotian Liu — 3 papers, 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

collaborators

4 papers

cs.CV2026

CutVerse: A Compositional GUI Agents Benchmark for Media Post-Production Editing

Haobo Hu, Xiangwu Guo, Zhiheng Chen +4

While GUI agents have made significant progress in web navigation and basic operating system tasks, their capabilities in professional creative workflows remain largely underexplor…

cs.AI2026

SayNext-Bench: Why Do LLMs Struggle with Next-Utterance Anticipation?

Yueyi Yang, Haotian Liu, Fang Kang +4

We explore the use of large language models (LLMs) for next-utterance anticipation in human dialogue. Despite recent advances in LLMs demonstrating their ability to engage in natur…

eess.SY2026

Large Language Model as An Operator: An Experience-Driven Solution for Distribution Network Voltage Control

Xu Yang, Chenhui Lin, Licheng Sha +5

With the advanced reasoning, contextual understanding, and information synthesis capabilities of large language models (LLMs), a novel paradigm emerges for the autonomous generatio…

cs.AI2026

PilotBench: A Benchmark for General Aviation Agents with Safety Constraints

Yalun Wu, Haotian Liu, Zhoujun Li +1

As Large Language Models (LLMs) advance toward embodied AI agents operating in physical environments, a fundamental question emerges: can models trained on text corpora reliably re…

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