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 5801–5825 of 10817 papers

TitleStatusHype
Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering—0
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute—0
Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction—0
HRVQA: A Visual Question Answering Benchmark for High-Resolution Aerial Images—0
Ensemble Transfer Learning for Multilingual Coreference Resolution—0
Weakly-Supervised Questions for Zero-Shot Relation ExtractionCode0
Rationalization for Explainable NLP: A Survey—0
Reversing The Twenty Questions Game—0
Temporal Perceiving Video-Language Pre-training—0
Towards Models that Can See and Read—0
Curriculum Script Distillation for Multilingual Visual Question Answering—0
Explaining ELH Concept Descriptions through Counterfactual Reasoning—0
Towards Answering Climate Questionnaires from Unstructured Climate ReportsCode0
Semantic Web Enabled Geographic Question Answering Framework: GeoTR—0
There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question AnsweringCode0
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models—0
Language Models sounds the Death Knell of Knowledge Graphs—0
MAQA: A Multimodal QA Benchmark for Negation—0
A Brain-inspired Memory Transformation based Differentiable Neural Computer for Reasoning-based Question Answering—0
RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm—0
Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rules—0
Adaptively Clustering Neighbor Elements for Image-Text GenerationCode0
Emotion-Cause Pair Extraction as Question Answering—0
Learning Trajectory-Word Alignments for Video-Language Tasks—0
Topic Segmentation Model Focusing on Local Context—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