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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5126–5150 of 10817 papers

TitleStatusHype
Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory—0
Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering—0
Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering—0
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension—0
AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making—0
A guide to the dataset explosion in QA, NLI, and commonsense reasoning—0
Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology—0
Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation—0
Building Discourse Parser for Thirukkural—0
Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals—0
Enhancing LambdaMART Using Oblivious Trees—0
Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser—0
Enhancing Key-Value Memory Neural Networks for Knowledge Based Question Answering—0
Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics—0
Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns—0
Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering—0
Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl—0
Antecedent Selection for Sluicing: Structure and Content—0
A Grounded Well-being Conversational Agent with Multiple Interaction Modes: Preliminary Results—0
Action based Network for Conversation Question Reformulation—0
Enhancing Generalization in Medical Visual Question Answering Tasks via Gradient-Guided Model Perturbation—0
Enhancing Financial Question Answering with a Multi-Agent Reflection Framework—0
Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies—0
Building a Rich Dataset to Empower the Persian Question Answering Systems—0
Answer-Type Prediction 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