[ACL 2023] Reasoning with Language Model Prompting: A Survey

KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.

Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning

Inductive relation prediction by subgraph reasoning, ICML'20

The Art of Problem-Solving in Software Engineering: How to Make MySQL Better

Logic Circuits from the Juice library

ICML 23': Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization

[SIGIR 2022] The implementation of Logiformer

Repo for paper "IDOL: Indicator-oriented Logic Pre-training for Logical Reasoning" accepted to the Findings of ACL 2023

[AAAI 2023] Official resources of "NQE: N-ary Query Embedding for Complex Query Answering over Hyper-relational Knowledge Graphs".

Evaluation on Logical Reasoning and Abstract Reasoning Challenges

On Memorization of Large Language Models in Logical Reasoning

The source code for Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning. #1 on the ReClor Leaderboard and we are the first group scored above 90% on the hidden test set around the world.. The paper has been accepted by the Findings of ACL-24.

[NeurIPS2023] LoRA: A Logical Reasoning Augmented Dataset for Visual Question Answering

[EMNLP 2024] This is the official implementation of the paper "A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners" in PyTorch.

Understanding Expressivity of GNN in Rule Learning. ICLR 2024

The source code for #5 in the Logical Reasoning Reading Comprehension Leaderboard `ReClor`.

A Reverse Approach to Training Reading Comprehension and Logical Reasoning Models

An AI for playing Minesweeper, utilizing propositional logic and knowledge-based inference to identify safe cells and mines. The AI learns from the game's state to make informed decisions.

Timer for meditation sessions