yale-nlp / QTSumm

Related projects ⓘ

Alternatives and complementary repositories for QTSumm

• khuangaf / ZeroFEC
  Official implementation of the ACL 2023 paper: "Zero-shot Faithful Factual Error Correction"
  ☆17Updated last year
• sion-zcfei / CQG
  The codes for ACL2022 paper “CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation
  ☆23Updated 2 years ago
• ruc-datalab / PASTA
  This repository contains source code for the PASTA model, a pre-trained language model for table-based fact verification.
  ☆18Updated last year
• liyongqi67 / MMCoQA
  ☆30Updated 11 months ago
• psunlpgroup / MultiHiertt
  Data and code for ACL 2022 paper "MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data"
  ☆41Updated 3 weeks ago
• yilunzhao / Awsome-Table-Reasoning
  A comprehensive paper list of Reasoning over Tables.
  ☆26Updated 2 years ago
• yale-nlp / DocMath-Eval
  Data and Code for the paper "DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Long and Specialized Documents…
  ☆14Updated 2 months ago
• dqxiu / PLMs-with-Knowledge
  ☆17Updated 2 years ago
• ShuyangCao / cliff_summ
  Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"
  ☆45Updated 2 years ago
• psunlpgroup / MACSum
  Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.
  ☆34Updated last year
• fengranMark / ConvGQR
  ConvGQR: Generative Query Reformulation for Conversational Search. A codebase for ACL 2023 accepted paper.
  ☆24Updated 8 months ago
• iwangjian / TopDial
  Code and data for "Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation" (EMNLP 2023…
  ☆28Updated 6 months ago
• AndrewZhe / Revisit-DocRED
  ☆16Updated 2 years ago
• XinyuanLu00 / SciTab
  The project page for "SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables"
  ☆19Updated 11 months ago
• jessionlin / csqa
  ☆39Updated 4 years ago
• lfy79001 / S3HQA
  [ACL 2023] S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering
  ☆19Updated last year
• salesforce / DialFact
  We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…
  ☆41Updated 2 years ago
• dqwang122 / CALMS
  Code and dataset for 'Contrastive Aligned Joint Learning for Multilingual Summarization'
  ☆13Updated 2 years ago
• CambridgeNLIP / verification-real-world-info-needs
  ☆16Updated last year
• ict-bigdatalab / CorpusBrain
  CIKM 2022: CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks
  ☆32Updated 2 years ago
• Alibaba-NLP / CDQA
  CDQA: Chinese Dynamic Question Answering Benchmark
  ☆14Updated 8 months ago
• yale-nlp / LLM-T2T
  Data and code for EMNLP 2023 industry-track paper "Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-W…
  ☆24Updated 10 months ago
• Liyan06 / AggreFact
  Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)
  ☆22Updated 7 months ago
• jq2276 / Learning2Copy
  ☆20Updated 3 years ago
• nju-websoft / GenMC
  Clues Before Answers: Generation-Enhanced Multiple-Choice QA (NAACL 2022)
  ☆28Updated last year
• Yale-LILY / FeTaQA
  Dataset for TACL 2022 paper: "FeTaQA: Free-form Table Question Answering"
  ☆80Updated last year
• mcao516 / EntFA
  ☆25Updated 2 years ago
• PKU-Baichuan-MLSystemLab / SysBench
  SysBench: Can Large Language Models Follow System Messages?
  ☆21Updated 2 months ago
• nuaa-nlp / Evaluation-of-ChatGPT
  ☆14Updated last year
• xu1998hz / InstructScore_SEScore3
  First explanation metric (diagnostic report) for text generation evaluation
  ☆61Updated 4 months ago