[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖
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Updated
Mar 12, 2023 - Python
[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖
[ACL 2023] Reasoning with Language Model Prompting: A Survey
PaL: Program-Aided Language Models (ICML 2023)
Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)
Robot Commonsense Games
[ICLR 2022 spotlight]GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
A Constrained Text Generation Challenge Towards Generative Commonsense Reasoning
Knowledge-Aware RL agents with Commonsense Reasoning
A set of utilities for running few-shot prompting experiments on large-language models
Experimental Python implementation of the Clarion cognitive architecture
[Paper][ISWC 2021] Zero-shot Visual Question Answering using Knowledge Graph
Language Models of Code are Few-Shot Commonsense Learners (EMNLP 2022)
Automated Storytelling via Causal, Commonsense Plot Ordering
The data and code for NumerSense (EMNLP2020)
This repository contains the PyTorch implementation of the paper STaCK: Sentence Ordering with Temporal Commonsense Knowledge appearing at EMNLP 2021.
Source code for the paper "Attention Is (not) All You Need for Commonsense Reasoning" published at ACL 2019.
Data and code for the "Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences" (Emelin et al., 2021) paper.
The purpose of this repository is to introduce new dialogue-level commonsense inference datasets and tasks. We chose dialogues as the data source because dialogues are known to be complex and rich in commonsense.
Source code for paper on commonsense reasoning for 2020 Annual Conference of the Association for Computational Linguistics (ACL) 2020.
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