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

An extensible benchmark for evaluating large language models on planning

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

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

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

Belief-Bias evaluation of local LLMs

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

Análise Causal Heterogênea para Subgrupos de Intervenção em Ansiedade

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

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

Framework de Mixture of Experts para Explicabilidade de Estados de Ansiedade

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

Análise Avançada de Dados com Causalidade e Aprendizado por Reforço

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

Análise Avançada de Intervenção para Ansiedade com SHAP

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

Análise de Intervenção de Ansiedade com Descoberta Causal

Latent-Explorer is the Python implementation of the framework proposed in the paper "Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph".