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 base...
#算法刷题#The Art of Problem-Solving in Software Engineering: How to Make MySQL Better
#自然语言处理#[ACL 2023] Reasoning with Language Model Prompting: A Survey
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
#大语言模型#On Memorization of Large Language Models in Logical Reasoning
Logic Circuits from the Juice library
[ICML 2023] Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization
[SIGIR 2022] The implementation of Logiformer
Evaluation on Logical Reasoning and Abstract Reasoning Challenges
#自然语言处理#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".
#大语言模型#[EMNLP 2024] A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners
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 t...
[NeurIPS2023] LoRA: A Logical Reasoning Augmented Dataset for Visual Question Answering
Understanding Expressivity of GNN in Rule Learning. ICLR 2024
Official code for "Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning", ICLR 2025.
An evaluation dataset comprising of 274 grid-based puzzles with different complexities
The source code for #5 in the Logical Reasoning Reading Comprehension Leaderboard `ReClor`.
#自然语言处理#A Reverse Approach to Training Reading Comprehension and Logical Reasoning Models