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 10151–10175 of 10817 papers

TitleStatusHype
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities—0
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding—0
SPBERTQA: A Two-Stage Question Answering System Based on Sentence Transformers for Medical Texts—0
Spectral Graph-Based Method of Multimodal Word Embedding—0
Speech Act Modeling of Written Asynchronous Conversations with Task-Specific Embeddings and Conditional Structured Models—0
SpeechBERT: An Audio-and-text Jointly Learned Language Model for End-to-end Spoken Question Answering—0
SpeechDPR: End-to-End Spoken Passage Retrieval for Open-Domain Spoken Question Answering—0
Speech-Enabled Hybrid Multilingual Translation for Mobile Devices—0
SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models—0
Speech Retrieval-Augmented Generation without Automatic Speech Recognition—0
Speeding Up Question Answering Task of Language Models via Inverted Index—0
SPFresh: Incremental In-Place Update for Billion-Scale Vector Search—0
Sphere Neural-Networks for Rational Reasoning—0
sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting—0
Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering—0
SplatTalk: 3D VQA with Gaussian Splatting—0
SplaXBERT: Leveraging Mixed Precision Training and Context Splitting for Question Answering—0
Spoken Conversational Search for General Knowledge—0
SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs—0
Spoken question answering for visual queries—0
Sports Intelligence: Assessing the Sports Understanding Capabilities of Language Models through Question Answering from Text to Video—0
Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources—0
SPred: Large-scale Harvesting of Semantic Predicates—0
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning—0
SQUARE: Automatic Question Answering Evaluation using Multiple Positive and Negative References—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