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

[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation

[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖

PaL: Program-Aided Language Models (ICML 2023)

Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)

[ICLR 2022 spotlight]GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

A Constrained Text Generation Challenge Towards Generative Commonsense Reasoning

A generalized framework for subspace tuning methods in parameter efficient fine-tuning.

A set of utilities for running few-shot prompting experiments on large-language models

Language Models of Code are Few-Shot Commonsense Learners (EMNLP 2022)

Knowledge-Aware RL agents with Commonsense Reasoning

[Paper][ISWC 2021] Zero-shot Visual Question Answering using Knowledge Graph

A Python Commonsense Knowledge Inference Toolkit

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.

Data and code for the "Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences" (Emelin et al., 2021) paper.

[CVPR 2022] A large-scale public benchmark dataset for video question-answering, especially about evidence and commonsense reasoning. The code used in our paper "From Representation to Reasoning: Towards both Evidence and Commonsense Reasoning for Video Question-Answering", CVPR2022.

Automated Storytelling via Causal, Commonsense Plot Ordering

Experimental Python implementation of the Clarion cognitive architecture

Codes for the WWW2021 paper: DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge (https://arxiv.org/abs/2101.00154).

Robot Commonsense Games