Co-occurring keywords · papers mentioning both
Papers
A Multi-Agent Framework for Quantitative Finance : An Application to Portfolio Management Analytics
EMNLP 2025
A Multi-Agent Framework with Automated Decision Rule Optimization for Cross-Domain Misinformation Detection
EMNLP 2025
ArchiDocGen: Multi-Agent Framework for Expository Document Generation in the Architectural Industry
ACL 2025
A Survey on LLM-powered Agents for Recommender Systems
EMNLP 2025
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
ICML 2025
CAMPHOR: Collaborative Agents for Multi-input Planning and High-Order Reasoning On Device
ACL 2025
Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration
IJCNLP 2025
CLAIM: An Intent-Driven Multi-Agent Framework for Analyzing Manipulation in Courtroom Dialogues
ACL 2025
ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development
ACL 2025
DMIS Lab at ArchEHR-QA 2025: Evidence-Grounded Answer Generation for EHR-based QA via a Multi-Agent Framework
ACL 2025
DocAgent: An Agentic Framework for Multi-Modal Long-Context Document Understanding
EMNLP 2025
DRT: Deep Reasoning Translation via Long Chain-of-Thought
ACL 2025
ECLAIR: Enhanced Clarification for Interactive Responses in an Enterprise AI Assistant
AAAI 2025
EMPATHIA: Multi-Faceted Human-AI Collaboration for Refugee Integration
NeurIPS 2025
EMULATE: A Multi-Agent Framework for Determining the Veracity of Atomic Claims by Emulating Human Actions
ACL 2025
FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models
ACL 2025
FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making
EMNLP 2025
Follow-up Question Generation For Enhanced Patient-Provider Conversations
ACL 2025
From Facts to Insights: A Study on the Generation and Evaluation of Analytical Reports for Deciphering Earnings Calls
COLING 2025
From Words to Structured Visuals: A Benchmark and Framework for Text-to-Diagram Generation and Editing
CVPR 2025
LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval
EMNLP 2025
MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications
EMNLP 2025
MARIO-0.5B: A Multi-Agent Lightweight Model for Real-Time Open Information Extraction in Low-Resource Settings
EMNLP 2025
METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling
ACL 2025
Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing
EMNLP 2025