bhargaviparanjape / explainable_qaView external linksLinks
Implementation for https://arxiv.org/abs/2005.00652
☆28Dec 8, 2022Updated 3 years ago
Alternatives and similar repositories for explainable_qa
Users that are interested in explainable_qa are comparing it to the libraries listed below
Sorting:
- Replication code for "The Structure of Toxic Conversations on Twitter" (WWW'21)☆10May 25, 2021Updated 4 years ago
- A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/☆101Nov 11, 2022Updated 3 years ago
- MetricEval: A framework that conceptualizes and operationalizes four main components of metric evaluation, in terms of reliability and va…☆12Nov 6, 2023Updated 2 years ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Mar 14, 2022Updated 3 years ago
- NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790☆27Nov 21, 2022Updated 3 years ago
- ☆12Jan 2, 2022Updated 4 years ago
- Findings of ACL'2023: Optimizing Test-Time Query Representations for Dense Retrieval☆30Oct 24, 2023Updated 2 years ago
- Tensorflow implementation for the Class-wise Selective Rationalization☆15Feb 15, 2023Updated 2 years ago
- This is the repository for the resources in TACL 2022 Paper "Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inf…☆15Aug 17, 2022Updated 3 years ago
- Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"☆18Sep 9, 2022Updated 3 years ago
- A curated list of resources dedicated to NLP (paper, blogs, note and etc)☆13Nov 30, 2019Updated 6 years ago
- ☆15Nov 17, 2020Updated 5 years ago
- Baseline for ERASER benchmark☆17Dec 18, 2022Updated 3 years ago
- "FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning" (ACL 2023)☆15Jul 24, 2023Updated 2 years ago
- Group-conditional DRO to alleviate spurious correlations☆15Jul 15, 2021Updated 4 years ago
- ☆17Apr 14, 2021Updated 4 years ago
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆39Dec 27, 2022Updated 3 years ago
- Code and data for Koo et al's ACL 2024 paper "Benchmarking Cognitive Biases in Large Language Models as Evaluators"☆21Feb 16, 2024Updated last year
- ☆21Sep 17, 2021Updated 4 years ago
- [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models☆86Sep 12, 2024Updated last year
- ☆16Jan 15, 2021Updated 5 years ago
- Data and code for the SciFact-Open task☆28Nov 24, 2023Updated 2 years ago
- ☆21Dec 8, 2022Updated 3 years ago
- ☆22Feb 26, 2024Updated last year
- ☆20Oct 12, 2021Updated 4 years ago
- [EMNLP 2021] Dataset and PyTorch Code for ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning☆15Nov 5, 2022Updated 3 years ago
- ☆26Nov 8, 2022Updated 3 years ago
- ☆25Jul 15, 2023Updated 2 years ago
- ☆47Jul 15, 2020Updated 5 years ago
- "Deriving Machine Attention from Human Rationales" EMNLP 2018☆27Feb 15, 2019Updated 6 years ago
- TBC☆28Nov 2, 2022Updated 3 years ago
- EMNLP'2020: Look at the First Sentence: Position Bias in Question Answering☆29Nov 4, 2020Updated 5 years ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆171Apr 26, 2021Updated 4 years ago
- Code for "Variational Sequential Labelers for Semi-Supervised Learning" (EMNLP 2018)☆34Oct 4, 2018Updated 7 years ago
- Source code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.☆30Jun 28, 2020Updated 5 years ago
- Text classification models. Used a submodule for other projects.☆69May 28, 2019Updated 6 years ago
- Official code repository for the main conference paper in EMNLP 2022: SubeventWriter: Iterative Sub-event Sequence Generation with Cohere…☆11Oct 16, 2022Updated 3 years ago
- PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)☆29Feb 24, 2022Updated 3 years ago
- ☆40Sep 26, 2025Updated 4 months ago