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Ting Liu

4 papers hereh-index 4121 citations10 works total

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

author position
  • middle author1
  • last author3

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

fields
  • cs.CL2
  • cs.LG1
  • cs.RO1
same name
  • Ting Liu — 108 papers, h 75
  • Ting Liu — 37 papers, h 16
  • Ting Liu — 26 papers, h 20
  • Ting Liu — 23 papers, h 18
  • Ting Liu — 19 papers, h 7
  • Ting Liu — 15 papers, h 4

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
20202025
most citedA Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application

8 citations · 9 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2025

CookBench: A Long-Horizon Embodied Planning Benchmark for Complex Cooking Scenarios

Muzhen Cai, Xiubo Chen, Yining An +5

Embodied Planning is dedicated to the goal of creating agents capable of executing long-horizon tasks in complex physical worlds. However, existing embodied planning benchmarks fre…

cs.CL2025★ 8 cited

A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application

Shuaihang Chen, Yuanxing Liu, Wei Han +2

LLM-based Multi-Agent Systems ( LLM-MAS ) have become a research hotspot since the rise of large language models (LLMs). However, with the continuous influx of new related works, t…

cs.CL2024

Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation

Ruiyu Xiao, Lei Wu, Yuhang Gou +2

Argumentative essay generation (AEG) aims to generate complete texts on specific controversial topics or debates. Although current AEG methods can generate individual opinions, the…

cs.LG2020★ 1 cited

Counterfactual Off-Policy Training for Neural Response Generation

Qingfu Zhu, Weinan Zhang, Ting Liu +1

Open-domain dialogue generation suffers from the data insufficiency problem due to the vast size of potential responses. In this paper, we propose to explore potential responses by…

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