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Mengmeng Wang

4 papers hereh-index 4272 citations4 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.CL2
  • cs.CV1
  • cs.SD1
same name
  • Mengmeng Wang — 34 papers, h 25
  • Mengmeng Wang — 20 papers, h 8
  • Mengmeng Wang — 5 papers, h 2
  • Mengmeng Wang — 3 papers, h 4
  • Mengmeng Wang — 3 papers, h 5
  • Mengmeng Wang — 3 papers, h 3

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
20232025
most citedX-Talk: On the Underestimated Potential of Modular Speech-to-Speech Dialogue System

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SD2025★ 1 cited

X-Talk: On the Underestimated Potential of Modular Speech-to-Speech Dialogue System

Zhanxun Liu, Yifan Duan, Mengmeng Wang +15

We present X-Talk, an open-source framework that champions a decoupled, modular design for LLM-driven speech-to-speech (S2S) systems. While the dominant trend favors end-to-end (E2…

cs.CV2025

Probing and Inducing Combinational Creativity in Vision-Language Models

Yongqian Peng, Yuxi Ma, Mengmeng Wang +5

The ability to combine existing concepts into novel ideas stands as a fundamental hallmark of human intelligence. Recent advances in Vision-Language Models (VLMs) like GPT-4V and D…

cs.CL2024

LangSuitE: Planning, Controlling and Interacting with Large Language Models in Embodied Text Environments

Zixia Jia, Mengmeng Wang, Baichen Tong +2

Recent advances in Large Language Models (LLMs) have shown inspiring achievements in constructing autonomous agents that rely on language descriptions as inputs. However, it remain…

cs.CL2023★ 1 cited

LooGLE: Can Long-Context Language Models Understand Long Contexts?

Jiaqi Li, Mengmeng Wang, Zilong Zheng +1

Large language models (LLMs), despite their impressive performance in various language tasks, are typically limited to processing texts within context-window size. This limitation…

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