MedRAX: Medical Reasoning Agent for Chest X-ray
[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.
A Generative AI Assistant with advance search and codebase context capabilities. Codebuddy uses machine learning to help developers generate code, complete tasks, and streamline their workflow. This intelligent assistant can understand natural language input and respond accordingly.
AI-powered reasoning engine powered by DeepSeek R1 reasoning model to refine queries, synthesize data, and provide insightful research responses.
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
AI Forecasting tools to help humans forecast the future. Additionally a framework for building a Metaculus AI Benchmarking Tournament Bot
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
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