anthonywchen / MOCHA
Code & data for EMNLP 2020 paper "MOCHA: A Dataset for Training and Evaluating Reading Comprehension Metrics".
☆16Updated 2 years ago
Related projects: ⓘ
- Research code for the paper "How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models"☆26Updated 2 years ago
- Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021☆29Updated last year
- Official repository for our EACL 2023 paper "LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization" (https…☆41Updated last month
- ☆14Updated 3 years ago
- Automatic metrics for GEM tasks☆61Updated last year
- [ICLR 2023] PyTorch code of Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees☆23Updated last year
- We are creating a challenging new benchmark MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models. Retrieval quest…☆29Updated 4 years ago
- Code for ACL 2022 paper "Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation"☆30Updated 2 years ago
- Query-focused summarization data☆40Updated last year
- Code for Simulating Bandit Learning from User Feedback for Extractive Question Answering.☆18Updated 2 years ago
- Official codebase accompanying our ACL 2022 paper "RELiC: Retrieving Evidence for Literary Claims" (https://relic.cs.umass.edu).☆20Updated 2 years ago
- ☆31Updated last year
- Constrained decoding utilities for text generation using Huggingface seq2seq models☆22Updated last year
- ☆41Updated 3 years ago
- M2D2: A Massively Multi-domain Language Modeling Dataset (EMNLP 2022) by Machel Reid, Victor Zhong, Suchin Gururangan, Luke Zettlemoyer☆53Updated last year
- ☆47Updated last year
- Code and dataset for the EMNLP 2021 Finding paper "Can NLI Models Verify QA Systems’ Predictions?"☆25Updated last year
- This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.☆38Updated 9 months ago
- Code for Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals.☆18Updated 3 years ago
- Implementation of the paper 'Sentence Bottleneck Autoencoders from Transformer Language Models'☆17Updated 2 years ago
- An original implementation of the paper "CREPE: Open-Domain Question Answering with False Presuppositions"☆14Updated last year
- ☆23Updated 2 weeks ago
- The official implemetation of "Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks" (NAACL 2022).☆42Updated last year
- ☆57Updated 2 years ago
- ☆30Updated 4 years ago
- EMNLP 2021 Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections☆49Updated 3 years ago
- ☆13Updated this week
- ReConsider is a re-ranking model that re-ranks the top-K (passage, answer-span) predictions of an Open-Domain QA Model like DPR (Karpukhi…☆49Updated 3 years ago
- ☆97Updated 2 years ago
- ☆48Updated last year