SOTAVerified

Question Answering

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

Papers

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Showing 6501–6525 of 10817 papers

TitleStatusHype
A Neural Network Model for Low-Resource Universal Dependency Parsing—0
A Competence-aware Curriculum for Visual Concepts Learning via Question Answering—0
3D Concept Learning and Reasoning from Multi-View Images—0
Large Language Models for Judicial Entity Extraction: A Comparative Study—0
Movie Question Answering: Remembering the Textual Cues for Layered Visual Contents—0
Movie Script Summarization as Graph-based Scene Extraction—0
Developing ChatGPT for Biology and Medicine: A Complete Review of Biomedical Question Answering—0
Large Language Models Can Self-Improve—0
Developing a How-to Tip Machine Comprehension Dataset and its Evaluation in Machine Comprehension by BERT—0
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs—0
BanglaQuAD: A Bengali Open-domain Question Answering Dataset—0
Large Language Models Can Self-Correct with Key Condition Verification—0
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding—0
Large Language Models as a Tool for Mining Object Knowledge—0
Detours for Navigating Instructional Videos—0
Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods—0
Determining is-a relationships for Textual Entailment—0
Large Language Models are Null-Shot Learners—0
Large Language Models are Complex Table Parsers—0
MQA-KEAL: Multi-hop Question Answering under Knowledge Editing for Arabic Language—0
Determining Event Durations: Models and Error Analysis—0
Detect, Retrieve, Comprehend: A Flexible Framework for Zero-Shot Document-Level Question Answering—0
Large Language Model Programs—0
Large Language Model for Table Processing: A Survey—0
Detection-based Intermediate Supervision for Visual Question Answering—0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified