[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

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.

A Python Commonsense Knowledge Inference Toolkit

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