L-MARS: Legal Multi-Agent Workflow with Orchestrated Reasoning and Agentic Search

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Ziqi, Yuan, Boqin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LRAS: Advanced Legal Reasoning with Agentic Search
di: Zhou, Yujin, et al.
Pubblicazione: (2026)

MARS: Multi-Agent Adaptive Reasoning with Socratic Guidance for Automated Prompt Optimization
di: Zhang, Jian, et al.
Pubblicazione: (2025)

MARS$^2$: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation
di: Li, Pengfei, et al.
Pubblicazione: (2026)

Agentic AI with Orchestrator-Agent Trust: A Modular Visual Classification Framework with Trust-Aware Orchestration and RAG-Based Reasoning
di: Roumeliotis, Konstantinos I., et al.
Pubblicazione: (2025)

AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration
di: Ruan, Jianhao, et al.
Pubblicazione: (2026)

AgentXRay: White-Boxing Agentic Systems via Workflow Reconstruction
di: Shi, Ruijie, et al.
Pubblicazione: (2026)

LAW: Legal Agentic Workflows for Custody and Fund Services Contracts
di: Watson, William, et al.
Pubblicazione: (2024)

GLARE: Agentic Reasoning for Legal Judgment Prediction
di: Yang, Xinyu, et al.
Pubblicazione: (2025)

AgentCompass: Towards Reliable Evaluation of Agentic Workflows in Production
di: Kartik, NVJK, et al.
Pubblicazione: (2025)

A Cloud-based Multi-Agentic Workflow for Science
di: Acharya, Anurag, et al.
Pubblicazione: (2026)

MASLegalBench: Benchmarking Multi-Agent Systems in Deductive Legal Reasoning
di: Jing, Huihao, et al.
Pubblicazione: (2025)

Infinite Problem Generator: Verifiably Scaling Physics Reasoning Data with Agentic Workflows
di: Sharan, Aditya, et al.
Pubblicazione: (2026)

Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis
di: Srinivas, Sakhinana Sagar, et al.
Pubblicazione: (2024)

On Verifiable Legal Reasoning: A Multi-Agent Framework with Formalized Knowledge Representations
di: Sadowski, Albert, et al.
Pubblicazione: (2025)

WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models
di: Fan, Shengda, et al.
Pubblicazione: (2024)

LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning
di: Chen, Zerui, et al.
Pubblicazione: (2026)

From Query to Counsel: Structured Reasoning with a Multi-Agent Framework and Dataset for Legal Consultation
di: Lu, Mingfei, et al.
Pubblicazione: (2026)

MARS: Co-evolving Dual-System Deep Research via Multi-Agent Reinforcement Learning
di: Chen, Guoxin, et al.
Pubblicazione: (2025)

Understanding and Optimizing Agentic Workflows via Shapley value
di: Yang, Yingxuan, et al.
Pubblicazione: (2025)

Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning
di: Fan, Wei, et al.
Pubblicazione: (2026)

On Time, Within Budget: Constraint-Driven Online Resource Allocation for Agentic Workflows
di: Wang, Xinglin, et al.
Pubblicazione: (2026)

MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks
di: Ke, Zixuan, et al.
Pubblicazione: (2026)

SIGMA: Search-Augmented On-Demand Knowledge Integration for Agentic Mathematical Reasoning
di: Asgarov, Ali, et al.
Pubblicazione: (2025)

Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration
di: Yuan, Weikang, et al.
Pubblicazione: (2024)

A Study on Leveraging Search and Self-Feedback for Agent Reasoning
di: K, Karthikeyan, et al.
Pubblicazione: (2025)

ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems
di: Yao, Bohan, et al.
Pubblicazione: (2025)

Multi-Agent Collaboration via Evolving Orchestration
di: Dang, Yufan, et al.
Pubblicazione: (2025)

Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent
di: Huang, Ziyang, et al.
Pubblicazione: (2025)

MARS: toward more efficient multi-agent collaboration for LLM reasoning
di: Wang, Xiao, et al.
Pubblicazione: (2025)

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction
di: Yue, Shengbin, et al.
Pubblicazione: (2025)

Eliminating Agentic Workflow for Introduction Generation with Parametric Stage Tokens
di: Zhang, Meicong, et al.
Pubblicazione: (2025)

Search-o1: Agentic Search-Enhanced Large Reasoning Models
di: Li, Xiaoxi, et al.
Pubblicazione: (2025)

Multimodal Multi-Agent Empowered Legal Judgment Prediction
di: Kang, Zhaolu, et al.
Pubblicazione: (2026)

Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge
di: Gou, Boyu, et al.
Pubblicazione: (2025)

MARS-Bench: A Multi-turn Athletic Real-world Scenario Benchmark for Dialogue Evaluation
di: Yang, Chenghao, et al.
Pubblicazione: (2025)

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
di: Li, Weizhen, et al.
Pubblicazione: (2025)

Evaluating Legal Reasoning Traces with Legal Issue Tree Rubrics
di: Lee, Jinu, et al.
Pubblicazione: (2025)

Amory: Building Coherent Narrative-Driven Agent Memory through Agentic Reasoning
di: Zhou, Yue, et al.
Pubblicazione: (2026)

Difficulty-Aware Agentic Orchestration for Query-Specific Multi-Agent Workflows
di: Su, Jinwei, et al.
Pubblicazione: (2025)

Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools
di: Wu, Junde, et al.
Pubblicazione: (2025)