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Meng Fang

7 papers hereh-index 577 citations9 works total

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

author position
  • middle author6

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.AI2
  • cs.RO1
  • cs.SD1
same name
  • Meng Fang — 19 papers, h 8
  • Meng Fang — 15 papers, h 11
  • Meng Fang — 14 papers, h 15
  • Meng Fang — 8 papers, h 3
  • Meng Fang — 6 papers, h 5
  • Meng Fang — 6 papers, h 5

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 citedMMAC-Copilot: Multi-modal Agent Collaboration Operating Copilot

2 citations · 2 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.SD2024

Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models

Wanqi Yang, Yanda Li, Meng Fang +2

Adversarial audio attacks pose a significant threat to the growing use of large audio-language models (LALMs) in voice-based human-machine interactions. While existing research foc…

cs.AI2024

Foundations and Recent Trends in Multimodal Mobile Agents: A Survey

Biao Wu, Yanda Li, Zhiwei Zhang +3

Mobile agents are essential for automating tasks in complex and dynamic mobile environments. As foundation models evolve, the demands for agents that can adapt in real-time and pro…

cs.RO2024

Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies

Zirui Song, Guangxian Ouyang, Meng Fang +9

Existing household robots have made significant progress in performing routine tasks, such as cleaning floors or delivering objects. However, a key limitation of these robots is th…

cs.AI2024★ 2 cited

MMAC-Copilot: Multi-modal Agent Collaboration Operating Copilot

Zirui Song, Yaohang Li, Meng Fang +6

Large language model agents that interact with PC applications often face limitations due to their singular mode of interaction with real-world environments, leading to restricted…

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