An Open-sourced Knowledgable Large Language Model Framework.
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Updated
Jun 7, 2024 - Python
An Open-sourced Knowledgable Large Language Model Framework.
code and docs for my EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
Recognition to Cognition Networks (code for the model in "From Recognition to Cognition: Visual Commonsense Reasoning", CVPR 2019)
PaL: Program-Aided Language Models (ICML 2023)
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)
Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"
[ACL 2024] An Easy-to-use Instruction Processing Framework for LLMs.
[NeurIPS 2022] DRAGON 🐲: Deep Bidirectional Language-Knowledge Graph Pretraining
Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)
Multi-Hop Logical Reasoning in Knowledge Graphs
Official implementation of paper "Cumulative Reasoning With Large Language Models" (https://arxiv.org/abs/2308.04371)
FireAct: Toward Language Agent Fine-tuning
A `Neural = Symbolic` framework for sound and complete weighted real-value logic
Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
Reasoning Computers. Lambda Calculus, Fully Differentiable. Also Neural Stacks, Queues, Arrays, Lists, Trees, and Latches.
KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
Official implementation of Graph Neural Network Query Executor (ICML 2022)
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