New Methods & Metrics for LFQA tasks
Not on the map. Why?
Abstract (arXiv)
Long-form question answering (LFQA) tasks require retrieving the documents pertinent to a query, using them to form a paragraph-length answer. Despite considerable progress in LFQA modeling, fundamental issues impede its progress: i) train/validation/test dataset overlap, ii) absence of automatic metrics and iii) generated answers not being "grounded" in retrieved documents. This work addresses every one these critical bottlenecks, contributing natural language inference/generation (NLI/NLG) methods and metrics that make significant strides to their alleviation.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 16 of its 27 references that are in the map. First posted on arXiv 26 Dec 2021.
Builds on
16 of 27 references.
References · 16
- 2017Attention Is All You Needcited by 59,932
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
- 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
- 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
- 2019BERTScore: Evaluating Text Generation with BERTcited by 5,462
- 2019PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarizationcited by 1,100
- 2019ELI5: Long Form Question Answeringcited by 567
- 2020Efficient Content-Based Sparse Attention with Routing Transformerscited by 469
- 2020Asking and Answering Questions to Evaluate the Factual Consistency of Summariescited by 376
- 2021QuestEval: Summarization Asks for Fact-based Evaluationcited by 241
4 more
- 2021Hurdles to Progress in Long-form Question Answeringcited by 166
- 2021Controlling Hallucinations at Word Level in Data-to-Text Generationcited by 41
- 2021Factual Consistency Evaluation for Text Summarization via Counterfactual Estimationcited by 37
- 2019Generating Question-Answer Hierarchiescited by 20
Built on by
Citing papers per year: 2024: 1; 2025: 1.
2 papers.