zhijing-jin / CausalNLP_Papers
A reading list for papers on causality for natural language processing (NLP)
☆593Updated last month
Alternatives and similar repositories for CausalNLP_Papers:
Users that are interested in CausalNLP_Papers are comparing it to the libraries listed below
- Curated research at the intersection of causal inference and natural language processing.☆790Updated 11 months ago
- Papers on fairness in NLP☆434Updated 8 months ago
- Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models☆695Updated 6 months ago
- A reading list of up-to-date papers on NLP for Social Good.☆291Updated last year
- A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP☆876Updated 3 months ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆689Updated 2 years ago
- We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…☆510Updated last year
- This repository contains a collection of papers and resources on Reasoning in Large Language Models.☆550Updated last year
- Paper List for Contrastive Learning for Natural Language Processing☆548Updated last year
- Tools for checking ACL paper submissions☆608Updated 2 months ago
- Paper List for In-context Learning 🌷☆827Updated 3 months ago
- Must-read Papers on Knowledge Editing for Large Language Models.☆986Updated 3 weeks ago
- ACL 2022: An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models.☆128Updated last month
- CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.☆144Updated 7 months ago
- Awesome papers involving LLMs in Social Science.☆354Updated this week
- A curated list of programmatic weak supervision papers and resources☆186Updated last year
- Official style files for papers submitted to venues of the Association for Computational Linguistics☆844Updated last week
- Causal Discovery in Python. It also includes (conditional) independence tests and score functions.☆1,251Updated this week
- A data index for learning causality.☆448Updated last year
- ☆41Updated last year
- Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).☆447Updated this week
- [ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723☆722Updated 2 years ago
- Data and code for the Corr2Cause paper (ICLR 2024)☆91Updated 8 months ago
- ☆118Updated last year
- Pytorch implementation of "Adapting Text Embeddings for Causal Inference"☆82Updated 2 years ago
- The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>☆329Updated 8 months ago
- Code for the paper "Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias"☆74Updated 3 years ago
- ☆294Updated 2 years ago
- A Survey of Attributions for Large Language Models☆184Updated 4 months ago
- A collection of papers of neural-symbolic AI (mainly focus on NLP applications)☆251Updated 5 months ago