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 9051–9075 of 10817 papers

TitleStatusHype
Hierarchical Conditional Relation Networks for Multimodal Video Question Answering—0
Hierarchical Gated Recurrent Neural Tensor Network for Answer Triggering—0
Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning—0
Hierarchical Memory for Long Video QA—0
Hierarchical Memory Networks—0
Hierarchical Modeling for Medical Visual Question Answering with Cross-Attention Fusion—0
Hierarchical Multitask Learning Approach for BERT—0
Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering—0
Hierarchical Poset Decoding for Compositional Generalization in Language—0
Hierarchical Question Answering for Long Documents—0
Hierarchical Representation-based Dynamic Reasoning Network for Biomedical Question Answering—0
Hierarchical Topical Segmentation with Affinity Propagation—0
Hierarchical Topic Structuring: From Dense Segmentation to Topically Focused Fragments via Burst Analysis—0
HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding—0
High Accuracy Rule-based Question Classification using Question Syntax and Semantics—0
Higher-order Lexical Semantic Models for Non-factoid Answer Reranking—0
High Quality Dependency Selection from Automatic Parses—0
Hi, how can I help you?: Automating enterprise IT support help desks—0
Hindi Question Generation Using Dependency Structures—0
Hint-enhanced In-Context Learning wakes Large Language Models up for knowledge-intensive tasks—0
A Training-free Sub-quadratic Cost Transformer Model Serving Framework With Hierarchically Pruned Attention—0
HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights—0
HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA—0
HIS-GPT: Towards 3D Human-In-Scene Multimodal Understanding—0
History-Aware Question Answering in a Blocks World Dialogue System—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