On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models
The reasoning abilities of Large Language Models (LLMs) remain a topic of debate. Some
methods such as ReAct-based prompting, have gained popularity for claiming to enhance …
methods such as ReAct-based prompting, have gained popularity for claiming to enhance …
InsTALL: Context-aware Instructional Task Assistance with Multi-modal Large Language Models
The improved competence of generative models can help building multi-modal virtual
assistants that leverage modalities beyond language. By observing humans performing …
assistants that leverage modalities beyond language. By observing humans performing …
Guidance Priors to Reduce Human Feedback Burden in Sequential Decision Making
M Verma - 2024 - search.proquest.com
Human in the loop sequential decision making such as Reinforcement Learning from
Human Feedback (RLHF) or behavior synthesis leverages human feedback to the AI system …
Human Feedback (RLHF) or behavior synthesis leverages human feedback to the AI system …
Do Think Tags Really Help LLMs Plan? A Critical Evaluation of ReAct-Style Prompting
The reasoning abilities of Large Language Models (LLMs) remain a topic of debate, which
are critically tested in sequential decision-making problems. ReAct, a recently popular …
are critically tested in sequential decision-making problems. ReAct, a recently popular …