AgentsBench: A Multi-Agent LLM Simulation Framework for Legal Judgment Prediction.

Saved in:
Bibliographic Details
Title: AgentsBench: A Multi-Agent LLM Simulation Framework for Legal Judgment Prediction.
Authors: Jiang, Cong1,2,3, jiangcong@pku.edu.cn, Yang, Xiaolei1,2,3
Source: Systems; Aug2025, Vol. 13 Issue 8, p641, 21p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 187653104
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: AgentsBench: A Multi-Agent LLM Simulation Framework for Legal Judgment Prediction.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Jiang%2C+Cong%22">Jiang, Cong</searchLink><relatesTo>1,2,3</relatesTo>, <i>jiangcong@pku.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Yang%2C+Xiaolei%22">Yang, Xiaolei</searchLink><relatesTo>1,2,3</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Systems%22">Systems</searchLink>; Aug2025, Vol. 13 Issue 8, p641, 21p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187653104
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/systems13080641
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 641
    Titles:
      – TitleFull: AgentsBench: A Multi-Agent LLM Simulation Framework for Legal Judgment Prediction.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Jiang, Cong
      – PersonEntity:
          Name:
            NameFull: Yang, Xiaolei
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 08
              Text: Aug2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 20798954
          Numbering:
            – Type: volume
              Value: 13
            – Type: issue
              Value: 8
          Titles:
            – TitleFull: Systems
              Type: main
ResultId 1