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 7601–7650 of 10817 papers

TitleStatusHype
Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering—0
Automatic Claim Review for Climate Science via Explanation Generation—0
JEEM: Vision-Language Understanding in Four Arabic Dialects—0
Prompt-based Conservation Learning for Multi-hop Question Answering—0
Prompt-based Learning for Unpaired Image Captioning—0
Prompt-based Personalized Federated Learning for Medical Visual Question Answering—0
JEC-QA: A Legal-Domain Question Answering Dataset—0
DARE: Diverse Visual Question Answering with Robustness Evaluation—0
JAIST: Combining multiple features for Answer Selection in Community Question Answering—0
Jailbreak Attacks and Defenses Against Large Language Models: A Survey—0
Jaeger: A Concatenation-Based Multi-Transformer VQA Model—0
Prompt Engineering for Healthcare: Methodologies and Applications—0
Danoliteracy of Generative, Large Language Models—0
Prompt Guided Copy Mechanism for Conversational Question Answering—0
Automatic Building and Using Parallel Resources for SMT from Comparable Corpora—0
Medical Knowledge Graph QA for Drug-Drug Interaction Prediction based on Multi-hop Machine Reading Comprehension—0
Prompting Explicit and Implicit Knowledge for Multi-hop Question Answering Based on Human Reading Process—0
Advances in Multi-turn Dialogue Comprehension: A Survey—0
Prompting Large Language Models with Knowledge Graphs for Question Answering Involving Long-tail Facts—0
Prompting Large Language Models with Rationale Heuristics for Knowledge-based Visual Question Answering—0
A Collection of Question Answering Datasets for Norwegian—0
Prompting Large Language Models with Speech Recognition Abilities—0
IXAGroupEHUSpaceEval: (X-Space) A WordNet-based approach towards the Automatic Recognition of Spatial Information following the ISO-Space Annotation Scheme—0
Prompting Whisper for QA-driven Zero-shot End-to-end Spoken Language Understanding—0
iVQA: Inverse Visual Question Answering—0
I've got the "Answer"! Interpretation of LLMs Hidden States in Question Answering—0
DaNetQA: a yes/no Question Answering Dataset for the Russian Language—0
PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks—0
Prompt Sketching for Large Language Models—0
It was the training data pruning too!—0
It Takes Two to Tango: Towards Theory of AI's Mind—0
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance—0
Damage Assessment after Natural Disasters with UAVs: Semantic Feature Extraction using Deep Learning—0
Automatically Extracting Procedural Knowledge from Instructional Texts using Natural Language Processing—0
An Efficient Active Learning Framework for New Relation Types—0
It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering—0
Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention—0
Proposing Plausible Answers for Open-ended Visual Question Answering—0
It's High Time: A Survey of Temporal Information Retrieval and Question Answering—0
PropTest: Automatic Property Testing for Improved Visual Programming—0
ProQA: Structural Prompt-based Pre-training for Unified Question Answering—0
It's About Time: Incorporating Temporality in Retrieval Augmented Language Models—0
ITNLP-AiKF at SemEval-2016 Task 3 a quesiton answering system using community QA repository—0
DAHRS: Divergence-Aware Hallucination-Remediated SRL Projection—0
ProSwitch: Knowledge-Guided Instruction Tuning to Switch Between Professional and Non-Professional Responses—0
Automatically Developing a Fine-grained Arabic Named Entity Corpus and Gazetteer by utilizing Wikipedia—0
It is AI’s Turn to Ask Humans a Question: Question-Answer Pair Generation for Children’s Story Books—0
It is AI’s Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset—0
Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output—0
DAFE: LLM-Based Evaluation Through Dynamic Arbitration for Free-Form Question-Answering—0
Show:102550
← PrevPage 153 of 217Next →
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