[NAACL 2025] KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
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Updated
Oct 21, 2024 - Python
[NAACL 2025] KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
LLMs as Method Actors: A Model for Prompt Engineering and Architecture
Analyzing and scoring reasoning traces of LLMs
It shows case studies of the LangGraph agent.
ZoomEye: Enhancing Multimodal LLMs with Human-Like Zooming Capabilities through Tree-Based Image Exploration
More compute and less training. Lets reason with CoT & RL!
Code and dataset for the ICLR 2024 paper "Thought Propagation: An analogical Approach to Complex Reasoning with Large Language Models."
Codebase and tutorial of ContPhy dataset generation for ICML 2024 paper "ContPhy: Continuum Physical Concept Learning and Reasoning from Videos"
Autonomous conversational AI agent to work as your assistant coach, strategist, psycologist and personal life ally
Hierarchical Spatial Proximity Reasoning for Vision-and-Language Navigation
Code for paper: Assessing Logical Puzzle Solving in Large Language Models: Insights from a Minesweeper Case Study
Official repository for the paper 'Meta-Reasoning Improves Tool Use in Large Language Models'.
BlueMO: A comprehensive collection of challenging mathematical olympiad problems and solutions from the renowned 'Little Blue Book' (小蓝书) series, tailored for evaluating the reasoning capabilities of language models.
easy Augmented Generative Intelligence for LLM
A modular AI reasoning library for creating intelligent agents with advanced reasoning pipelines, memory management, and seamless LLM integration.
Project involving Human-Robot Interaction and Reasoning Agents modules. Pepper Robot is put into a restaurant environment to accomplish waiter tasks.
Unlock the power of AI by building intelligent agents from scratch! This repository provides a step-by-step guide to creating custom agents that can reason, act, and solve real-world problems
Reasoning agent project: Policy Networks for Non-Markovian Reinforcement Learning Rewards
A Python-based agent showcasing the use of Google's Gemini 2.0 Flash Thinking Experimental model to reason by combining search results with user queries
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