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

Análise Causal Heterogênea para Subgrupos de Intervenção em Ansiedade

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

Awesome-LLM-Planning