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 9551–9600 of 10817 papers

TitleStatusHype
UTTime: Temporal Relation Classification using Deep Syntactic Features—0
UU\_TAILS at MEDIQA 2019: Learning Textual Entailment in the Medical Domain—0
UWN: A Large Multilingual Lexical Knowledge Base—0
UzBERT: pretraining a BERT model for Uzbek—0
V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models—0
VALSE: A Task-Independent Benchmark for Vision and Language Models centered on Linguistic Phenomena—0
Vanilla Classifiers for Distinguishing between Similar Languages—0
VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding—0
Variational Disentangled Attention for Regularized Visual Dialog—0
Variational Fusion for Multimodal Sentiment Analysis—0
Variational Visual Question Answering—0
VBART: The Turkish LLM—0
VCD: Knowledge Base Guided Visual Commonsense Discovery in Images—0
VCEval: Rethinking What is a Good Educational Video and How to Automatically Evaluate It—0
VDMA: Video Question Answering with Dynamically Generated Multi-Agents—0
VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents—0
V-Doc : Visual questions answers with Documents—0
V-Doc: Visual Questions Answers With Documents—0
VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation—0
VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation—0
VectorFit : Adaptive Singular & Bias Vector Fine-Tuning of Pre-trained Foundation Models—0
Vector Quantized Feature Fields for Fast 3D Semantic Lifting—0
VectorSLU: A Continuous Word Vector Approach to Answer Selection in Community Question Answering Systems—0
Vendi-RAG: Adaptively Trading-Off Diversity And Quality Significantly Improves Retrieval Augmented Generation With LLMs—0
Venn Diagram Prompting : Accelerating Comprehension with Scaffolding Effect—0
Verb Alternations and Their Impact on Frame Induction—0
Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics—0
VERITAS: A Unified Approach to Reliability Evaluation—0
VersaVid-R1: A Versatile Video Understanding and Reasoning Model from Question Answering to Captioning Tasks—0
VERSE: Event and Relation Extraction in the BioNLP 2016 Shared Task—0
VGNMN: Video-grounded Neural Module Networks for Video-Grounded Dialogue Systems—0
VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks—0
ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation—0
Video based Contextual Question Answering—0
Video DataFlywheel: Resolving the Impossible Data Trinity in Video-Language Understanding—0
Video Dialog via Progressive Inference and Cross-Transformer—0
VideoDistill: Language-aware Vision Distillation for Video Question Answering—0
Video Instruction Tuning With Synthetic Data—0
Video Language Co-Attention with Multimodal Fast-Learning Feature Fusion for VideoQA—0
VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation—0
VideoOrion: Tokenizing Object Dynamics in Videos—0
VideoPrism: A Foundational Visual Encoder for Video Understanding—0
VideoQA-SC: Adaptive Semantic Communication for Video Question Answering—0
Video Question Answering for People with Visual Impairments Using an Egocentric 360-Degree Camera—0
Video Question Answering on Screencast Tutorials—0
Video Question Answering Using CLIP-Guided Visual-Text Attention—0
Video Question Answering Using Language-Guided Deep Compressed-Domain Video Feature—0
Video Question Answering via Attribute-Augmented Attention Network Learning—0
Video Question Answering with Iterative Video-Text Co-Tokenization—0
Video Question Answering with Phrases via Semantic Roles—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