Large Language Model based Multi-Agents: A Survey of Progress and Challenges

AgentFlow: In-the-Flow Agentic System Optimization

An extensible benchmark for evaluating large language models on planning

Official code for Dynamic Parametric RAG.

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 Large Language Models.

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

Análise Avançada de Dados com Causalidade e Aprendizado por Reforço

Framework de Mixture of Experts para Explicabilidade de Estados de Ansiedade

Análise Robusta de Intervenções para Ansiedade com Técnicas de Tratamento de Dados Ausentes

Pipeline Unificado para Tomada de Decisão Financeira com Agentes Multimodais e Descentralizados