An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.
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Updated
May 26, 2024 - TeX
An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
A repository for factual knowledge probing with large language models.
A repository for analyzing the impact of co-occurrence statistics on factual knowledge of large language models (EMNLP 2023 Findings).
We introduce a large semi-automatically generated dataset of ~400,000 descriptive sentences about commonsense knowledge that can be true or false in which negation is present in about 2/3 of the corpus in different forms that we use to evaluate LLMs
[Paper][ISWC 2021] Zero-shot Visual Question Answering using Knowledge Graph
🥤🧑🏻🚀Code and dataset for our EMNLP 2023 paper - "SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization"
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality
📝 Source code for "ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation" (SemEval 2020).
The repository of the FOX project
Baselines for CCKS 2022 Task "Commonsense Knowledge Salience Evaluation"
Refined Commonsense Knowledge from Large-Scale Web Contents (TKDE 2022)
A collection of research on knowledge graphs
Utilizing Language Models to Expand Vision-based Commonsense Knowledge Graphs
The corresponding code from our paper " COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion (ACL 2021)". Do not hesitate to open an issue if you run into any trouble!
My Reading Lists of Deep Learning and Natural Language Processing
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