Paper list on Commonsense Causality: intersection between causal inference and commonsense reasoning
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Updated
Nov 10, 2024
Paper list on Commonsense Causality: intersection between causal inference and commonsense reasoning
[ACL 2023] Reasoning with Language Model Prompting: A Survey
Exploring common-sense reasoning capabilities of text-to-image models through pronoun disambiguation
[WACV 2025] This is the official implementation of the paper "Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense Knowledge" in PyTorch.
Uncertain Knowledge Graphs Embedding with BERT Pretrained Language Model
[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
Robot Commonsense Games
exploring the defeasibility inside causality
Source code for the paper "Attention Is (not) All You Need for Commonsense Reasoning" published at ACL 2019.
Source code for paper on commonsense reasoning for 2020 Annual Conference of the Association for Computational Linguistics (ACL) 2020.
[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.
A CommonSense Reasoning Dataset pertaining to Physical Commonsense affordance of objects.
Anti-faCtual COmmonsense Reasoning Disentanglement
The Slovene translation of the ATOMIC 2020 data set
Codes for the EMNLP2021 paper: Benchmarking Commonsense Knowledge Base Population (https://aclanthology.org/2021.emnlp-main.705.pdf). An updated version CKBP v2 (https://arxiv.org/pdf/2304.10392.pdf)
[Paper][ISWC 2021] Zero-shot Visual Question Answering using Knowledge Graph
Commonsense Knowledge Graphs in Slovenian Language
A Constrained Text Generation Challenge Towards Generative Commonsense Reasoning
Official implementation of "Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models"
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