AgentFlow: In-the-Flow Agentic System Optimization

Large Language Model based Multi-Agents: A Survey of Progress and Challenges (In IJCAI 2024)

An extensible benchmark for evaluating large language models on planning

[arxiv: 2503.23895] Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Official PyTorch implementation for Hogwild! Inference: Parallel LLM Generation with a Concurrent Attention Cache

Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models

Awesome Mixture of Experts (MoE): A Curated List of Mixture of Experts (MoE) and Mixture of Multimodal Experts (MoME)

The data and implementation for the experiments in the paper "Flows: Building Blocks of Reasoning and Collaborating AI".

LLMs represent numbers on a helix and manipulate that helix to do addition.

A framework for evaluating the effectiveness of chain-of-thought reasoning in language models.

Belief-Bias evaluation of local LLMs

[ACL 2025] Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models

Measure of estimated confidence for non-hallucinative nature of outputs generated by Transformer-based Language Models.

An advanced, fully local, and GPU-accelerated RAG pipeline. Features a sophisticated LLM-based preprocessing engine, state-of-the-art Parent Document Retriever with RAG Fusion, and a modular, Hydra-configurable architecture. Built with LangChain, Ollama, and ChromaDB for 100% private, high-performance document Q&A.

Análise Avançada de Dados com Causalidade e Aprendizado por Reforço

A collection of ML-related active learning datasets, including algorithms, .ipynb pipelines, .py scripts and curated and ethically aligned synthetic data.

Análise Causal Heterogênea para Subgrupos de Intervenção em Ansiedade

Análise do Impacto da Padronização de Markdown na Carga Cognitiva e Desempenho de Tarefas

Awesome-LLM-Planning

Participating in Explainable AI for Educational Question-Answering with Symbolic Reasoning