A multimodal foundation agent for financial trading: Tool-augmented, diversified, and generalist

W Zhang, L Zhao, H Xia, S Sun, J Sun, M Qin… - Proceedings of the 30th …, 2024 - dl.acm.org
Financial trading is a crucial component of the markets, informed by a multimodal
information landscape encompassing news, prices, and Kline charts, and encompasses …

Agents in software engineering: Survey, landscape, and vision

Y Wang, W Zhong, Y Huang, E Shi, M Yang… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, Large Language Models (LLMs) have achieved remarkable success and
have been widely used in various downstream tasks, especially in the tasks of the software …

Large language models orchestrating structured reasoning achieve Kaggle grandmaster level

A Grosnit, A Maraval, J Doran, G Paolo… - arXiv preprint arXiv …, 2024 - arxiv.org
We introduce Agent K v1. 0, an end-to-end autonomous data science agent designed to
automate, optimise, and generalise across diverse data science tasks. Fully automated …

A dynamic LLM-powered agent network for task-oriented agent collaboration

Z Liu, Y Zhang, P Li, Y Liu, D Yang - First Conference on Language …, 2024 - openreview.net
Recent studies show that collaborating multiple large language model (LLM) powered
agents is a promising way for task solving. However, current approaches are constrained by …

DynaSaur: Large language agents beyond predefined actions

D Nguyen, VD Lai, S Yoon, RA Rossi, H Zhao… - arXiv preprint arXiv …, 2024 - arxiv.org
Existing LLM agent systems typically select actions from a fixed and predefined set at every
step. While this approach is effective in closed, narrowly-scoped environments, we argue …

Natural language reinforcement learning

X Feng, Z Wan, H Fu, B Liu, M Yang… - arXiv preprint arXiv …, 2024 - arxiv.org
Reinforcement Learning (RL) mathematically formulates decision-making with Markov
Decision Process (MDP). With MDPs, researchers have achieved remarkable breakthroughs …

FinAgent: A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist

W Zhang, L Zhao, H Xia, S Sun, J Sun, M Qin… - arXiv preprint arXiv …, 2024 - arxiv.org
Financial trading is a crucial component of the markets, informed by a multimodal
information landscape encompassing news, prices, and Kline charts, and encompasses …

Can We Rely on LLM Agents to Draft Long-Horizon Plans? Let's Take TravelPlanner as an Example

Y Chen, A Pesaranghader, T Sadhu, DH Yi - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) have brought autonomous agents closer to artificial general
intelligence (AGI) due to their promising generalization and emergent capabilities. There is …

Reinforcing LLM Agents via Policy Optimization with Action Decomposition

M Wen, Z Wan, J Wang, W Zhang… - The Thirty-eighth Annual …, 2024 - openreview.net
Language models as intelligent agents push the boundaries of sequential decision-making
agents but struggle with limited knowledge of environmental dynamics and exponentially …

DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

S Guo, C Deng, Y Wen, H Chen, Y Chang… - arXiv preprint arXiv …, 2024 - arxiv.org
In this work, we investigate the potential of large language models (LLMs) based agents to
automate data science tasks, with the goal of comprehending task requirements, then …