On the modeling capabilities of large language models for sequential decision making.
Large pre-trained models are showing increasingly better performance on reasoning and planning tasks in different modalities, opening up the possibility ...
Tag: Decision
Nippon Steel advances deadline to close deal with US Steel as Biden decision looms By Reuters
TOKYO (Reuters) - Japan's Nippon Steel said on Thursday it extended the closing date for its $14.9 billion purchase of ...
Promoting Clinical Decision Support: Evaluating the Medical Reasoning Capabilities of OpenAI's o1-Preview Model
Assessment of LLMs in medical tasks has traditionally been based on multiple-choice question benchmarks. However, these benchmarks are limited in ...
This UCLA AI article introduces 'two-factor recovery' to revolutionize human AI decision making in radiology
Integrating ai into clinical practices is a major challenge, especially in radiology. While ai has been shown to improve diagnostic ...
SEC Delays Decision on Franklin Templeton Bitcoin and Ethereum Index ETF
Key takeaways The SEC delayed the decision on the Franklin Templeton bitcoin and ethereum ETF, extending the deadline to January ...
SEC Rejects Decision on Options Trading for Ethereum Spot ETFs
The United States Securities and Exchange Commission (SEC) has delayed its decision to approve options trading on ethereum (eth) exchange-traded ...
SEC Delays Decision on NYSE Options for Ethereum Spot ETFs
Key takeaways The SEC has delayed its decision on the New York Stock Exchange's proposal to list and trade options ...
MDAgents: A Dynamic Multi-Agent Framework for Improving Medical Decision Making with Large Language Models
Base models show promise in medicine, especially for assisting in complex tasks such as medical decision making (MDM). MDM is ...
Improving task scheduling in linguistic agents: Leveraging graph neural networks to improve task decomposition and decision making in large language models
Task planning in linguistic agents is gaining attention in LLM research, focusing on breaking down complex tasks into manageable subtasks ...
This AI article from Meta AI introduces Dualformer: Controllable Fast and Slow Thinking with Random Reasoning Traces, Revolutionizing AI Decision Making
A major challenge in ai research is how to develop models that can balance fast, intuitive reasoning with slower, more ...
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