#自然语言处理#[ACL 2023] Reasoning with Language Model Prompting: A Survey
#计算机科学#[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)
#自然语言处理#Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)
[ICLR 2022 spotlight]GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
#自然语言处理#A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
#自然语言处理#A Constrained Text Generation Challenge Towards Generative Commonsense Reasoning
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
[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: Towa...
#自然语言处理#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 ...
#自然语言处理#Data and code for the "Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences" (Emelin et al., 2021) paper.
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