Large Language Model based Multi-Agents: A Survey of Progress and Challenges
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Updated
Apr 24, 2024
Large Language Model based Multi-Agents: A Survey of Progress and Challenges
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
The data and implementation for the experiments in the paper "Flows: Building Blocks of Reasoning and Collaborating AI".
Awesome Mixture of Experts (MoE): A Curated List of Mixture of Experts (MoE) and Mixture of Multimodal Experts (MoME)
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.
Análise do Impacto da Padronização de Markdown na Carga Cognitiva e Desempenho de Tarefas
Análise Causal Heterogênea para Subgrupos de Intervenção em Ansiedade
Análise Avançada de Dados com Causalidade e Aprendizado por Reforço
Framework de Mixture of Experts para Explicabilidade de Estados de Ansiedade
Pipeline Unificado para Tomada de Decisão Financeira com Agentes Multimodais e Descentralizados
Análise Avançada de Intervenção para Ansiedade com SHAP
Análise Robusta de Intervenções para Ansiedade com Técnicas de Tratamento de Dados Ausentes
CoT Reasoning in Autoregressive Image Generation
Self-Improving LLMs Through Iterative Refinement
Análise de Intervenção de Ansiedade com Descoberta Causal
Belief-Bias evaluation of local LLMs
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