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 5901–5925 of 10817 papers

TitleStatusHype
Learning to Recognize the Unseen Visual Predicates—0
Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA—0
Neural Reasoning, Fast and Slow, for Video Question Answering—0
Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models—0
Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios—0
Distributional Hypernym Generation by Jointly Learning Clusters and Projections—0
Learning to Rank Answer Candidates for Automatic Resolution of Crossword Puzzles—0
LearningToQuestion at SemEval 2017 Task 3: Ranking Similar Questions by Learning to Rank Using Rich Features—0
Distributed Deep Learning for Question Answering—0
Benchmarking Table Comprehension In The Wild—0
Logical Inference on Dependency-based Compositional Semantics—0
Logically Consistent Loss for Visual Question Answering—0
Logical Parsing from Natural Language Based on a Neural Translation Model—0
Logical Story Representations via FrameNet + Semantic Parsing—0
Learning to Plan and Generate Text with Citations—0
Distraction-free Embeddings for Robust VQA—0
Learning to Paraphrase for Question Answering—0
Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding—0
LEARNING TO ORGANIZE KNOWLEDGE WITH N-GRAM MACHINES—0
Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering—0
Learning to Organize Knowledge and Answer Questions with N-Gram Machines—0
Learning to Order Sub-questions for Complex Question Answering—0
Distill-SynthKG: Distilling Knowledge Graph Synthesis Workflow for Improved Coverage and Efficiency—0
Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness—0
An Inference Approach To Question Answering Over Knowledge Graphs—0
Show:102550
← PrevPage 237 of 433Next →
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