Image de couverture de livre

MoA is All You Need: Building LLM Research Team using Mixture of Agents

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Sandy, Zeng, Leqi, Raghunathan, Abhinav, Huang, Flora, Kim, Terrence C.
Format:	Preprint
Publié:	2024
Sujets:	Computational Finance
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

MoMoE: A Mixture of Expert Agent Model for Financial Sentiment Analysis
par: Shu, Peng, et autres
Publié: (2025)

MoA-VR: A Mixture-of-Agents System Towards All-in-One Video Restoration
par: Liu, Lu, et autres
Publié: (2025)

Persistence is All You Need -- A Topological Lens on Microstructural Characterization
par: Szemer, Maksym, et autres
Publié: (2025)

Attention-MoA: Enhancing Mixture-of-Agents via Inter-Agent Semantic Attention and Deep Residual Synthesis
par: Wen, Jianyu, et autres
Publié: (2026)

Workflow is All You Need: Escaping the "Statistical Smoothing Trap" via High-Entropy Information Foraging and Adversarial Pacing
par: Jiang, Zhongjie
Publié: (2025)

CoQuest: Exploring Research Question Co-Creation with an LLM-based Agent
par: Liu, Yiren, et autres
Publié: (2023)

Mixture of Knowledge Minigraph Agents for Literature Review Generation
par: Zhang, Zhi, et autres
Publié: (2024)

A Learnable Wavelet Transformer for Long-Short Equity Trading and Risk-Adjusted Return Optimization
par: Li, Shuozhe, et autres
Publié: (2026)

Is All the Information in the Price? LLM Embeddings versus the EMH in Stock Clustering
par: Wang, Bingyang, et autres
Publié: (2025)

INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent
par: Li, Haohang, et autres
Publié: (2024)

AI-Trader: Benchmarking Autonomous Agents in Real-Time Financial Markets
par: Fan, Tianyu, et autres
Publié: (2025)

All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection
par: Jiang, Yuechen, et autres
Publié: (2026)

Risk forecasting using Long Short-Term Memory Mixture Density Networks
par: Herrig, Nico
Publié: (2025)

AutoRedTrader: Autonomous Red Teaming of Trading Agents through Synthetic Misinformation Injection
par: Liu, Zhiwei, et autres
Publié: (2026)

MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation
par: Wang, Kuan-Chieh, et autres
Publié: (2024)

COALESCE: Economic and Security Dynamics of Skill-Based Task Outsourcing Among Team of Autonomous LLM Agents
par: Bhatt, Manish, et autres
Publié: (2025)

AutoClimDS: Climate Data Science Agentic AI -- A Knowledge Graph is All You Need
par: Jaber, Ahmed, et autres
Publié: (2025)

FinTeam: A Multi-Agent Collaborative Intelligence System for Comprehensive Financial Scenarios
par: Wu, Yingqian, et autres
Publié: (2025)

Ada-MoGE: Adaptive Mixture of Gaussian Expert Model for Time Series Forecasting
par: Ni, Zhenliang, et autres
Publié: (2025)

BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics
par: Lin, Xiachong, et autres
Publié: (2024)

Tokenize Everything, But Can You Sell It? RWA Liquidity Challenges and the Road Ahead
par: Mafrur, Rischan
Publié: (2025)

NumLLM: Numeric-Sensitive Large Language Model for Chinese Finance
par: Su, Huan-Yi, et autres
Publié: (2024)

CatMemo at the FinLLM Challenge Task: Fine-Tuning Large Language Models using Data Fusion in Financial Applications
par: Cao, Yupeng, et autres
Publié: (2024)

LR-Robot: An Human-in-the-Loop LLM Framework for Systematic Literature Reviews with Applications in Financial Research
par: Wei, Wei, et autres
Publié: (2026)

Agents Are All You Need for LLM Unlearning
par: Sanyal, Debdeep, et autres
Publié: (2025)

MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models
par: Cao, Jie, et autres
Publié: (2025)

Standard Benchmarks Fail -- Auditing LLM Agents in Finance Must Prioritize Risk
par: Chen, Zichen, et autres
Publié: (2025)

Representation Signatures and Risk-Feedback Alignment in LLM Trading Agents
par: Xue, Weicheng
Publié: (2026)

OSCAgent: Accelerating the Discovery of Organic Solar Cells with LLM Agents
par: Hu, Zhaolin, et autres
Publié: (2026)

Building Acoustics 01: Finite Element Model of an Building Acoustics Test Facility to Predict the Sound Transmission Loss Based on DIN EN ISO 10140
par: Schmidt, Sebastian, et autres
Publié: (2026)

AT-MoE: Adaptive Task-planning Mixture of Experts via LoRA Approach
par: Li, Xurui, et autres
Publié: (2024)

BioXArena: Benchmarking LLM Agents on Multi-Modal Biomedical Machine Learning Tasks
par: Li, Loka, et autres
Publié: (2026)

Private Order Flows and Builder Bidding Dynamics: The Road to Monopoly in Ethereum's Block Building Market
par: Wang, Shuzheng, et autres
Publié: (2024)

Learning Explainable Stock Predictions with Tweets Using Mixture of Experts
par: Xu, Wenyan, et autres
Publié: (2025)

Text-to-Code Generation for Modular Building Layouts in Building Information Modeling
par: Wei, Yinyi, et autres
Publié: (2025)

FinRobot: AI Agent for Equity Research and Valuation with Large Language Models
par: Zhou, Tianyu, et autres
Publié: (2024)

The Strategic Gap: How AI-Driven Timing and Complexity Shape Investor Trust in the Age of Digital Agents
par: Neupane, Krishna
Publié: (2026)

Learning to Aggregate Zero-Shot LLM Agents for Corporate Disclosure Classification
par: Kirtac, Kemal
Publié: (2026)

SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation
par: Wu, Qilong, et autres
Publié: (2024)

LLM-guided Chemical Process Optimization with a Multi-Agent Approach
par: Zeng, Tong, et autres
Publié: (2025)