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Jiale Liu

17 papers hereh-index 92.2k citations27 works total

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

author position
  • first author5
  • middle author11

Across the 16 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CL7
  • cs.AI6
  • cs.MA2
  • cs.CV1
  • cs.LG1
same name
  • Jiale Liu — 4 papers, h 4
  • Jiale Liu — 2 papers, h 2
  • Jiale Liu — 2 papers, h 3
  • Jiale Liu — 1 paper, h 3
  • Jiale Liu — 1 paper, h 2
  • Jiale Liu — 1 paper, 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
20232026
most citedAutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

178 citations · 186 across the 17 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CL2024

Memory-Augmented Agent Training for Business Document Understanding

Jiale Liu, Yifan Zeng, Malte Højmark-Bertelsen +3

Traditional enterprises face significant challenges in processing business documents, where tasks like extracting transport references from invoices remain largely manual despite t…

cs.CL2024

Adaptive In-conversation Team Building for Language Model Agents

Linxin Song, Jiale Liu, Jieyu Zhang +5

Leveraging multiple large language model (LLM) agents has shown to be a promising approach for tackling complex tasks, while the effective design of multiple agents for a particula…

cs.AI2024★ 6 cited

Embodied LLM Agents Learn to Cooperate in Organized Teams

Xudong Guo, Kaixuan Huang, Jiale Liu +6

Large Language Models (LLMs) have emerged as integral tools for reasoning, planning, and decision-making, drawing upon their extensive world knowledge and proficiency in language-r…

cs.AI2024

Offline Training of Language Model Agents with Functions as Learnable Weights

Shaokun Zhang, Jieyu Zhang, Jiale Liu +4

Researchers and practitioners have recently reframed powerful Large Language Models (LLMs) as agents, enabling them to automate complex tasks largely via the use of specialized fun…

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