Yale-LILY / FeTaQA
Dataset for TACL 2022 paper: "FeTaQA: Free-form Table Question Answering"
☆80Updated last year
Alternatives and similar repositories for FeTaQA:
Users that are interested in FeTaQA are comparing it to the libraries listed below
- [ACL 2022] A hierarchical table dataset for question answering and data-to-text generation.☆77Updated 2 weeks ago
- Data and code for ACL 2022 paper "MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data"☆42Updated 3 months ago
- TAT-QA (Tabular And Textual dataset for Question Answering) contains 16,552 questions associated with 2,757 hybrid contexts from real-wor…☆102Updated 2 months ago
- Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"☆100Updated 2 years ago
- Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"☆62Updated 2 years ago
- ConTextual Mask Auto-Encoder for Dense Passage Retrieval☆35Updated 3 months ago
- Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study☆43Updated last year
- ☆28Updated last year
- First explanation metric (diagnostic report) for text generation evaluation☆63Updated 7 months ago
- A comprehensive paper list of Reasoning over Tables.☆27Updated 2 years ago
- The code and data used for EACL2023 Paper: "Large Language Models are few(1)-shot Table Reasoners"☆41Updated 9 months ago
- ☆16Updated 3 years ago
- ☆37Updated last year
- ☆85Updated last year
- ☆31Updated 3 years ago
- Data and code for EMNLP 2023 industry-track paper "Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-W…☆26Updated last year
- Data and Code Release for "On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries"☆52Updated 4 years ago
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆66Updated 6 months ago
- Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.☆34Updated last year
- This is the code for the Submission 3358 at NeurIPS 2022.☆21Updated 2 years ago
- [NAACL 2022] Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning.☆57Updated 10 months ago
- ☆60Updated 2 years ago
- This repository contains source code for the PASTA model, a pre-trained language model for table-based fact verification.☆18Updated 2 years ago
- The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".☆66Updated 2 years ago
- Code for the paper "Open Domain Question Answering with A Unified Knowledge Interface" (ACL 2022)☆57Updated last year
- Data and Code for EMNLP 2023 paper "QTSumm: Query-Focused Summarization over Tabular Data"☆19Updated 10 months ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆57Updated last year
- Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"☆66Updated 2 years ago
- Code for EACL 2023 paper "LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control"☆19Updated 2 years ago
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆39Updated last year