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 10176–10200 of 10817 papers

TitleStatusHype
SQuARE: Semantics-based Question Answering and Reasoning Engine—0
Squibs: What Is a Paraphrase?—0
SRAG: Structured Retrieval-Augmented Generation for Multi-Entity Question Answering over Wikipedia Graph—0
sranjans : Semantic Textual Similarity using Maximal Weighted Bipartite Graph Matching—0
SRDF: Extracting Lexical Knowledge Graph for Preserving Sentence Meaning—0
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions—0
Stable Code Technical Report—0
Stacked Latent Attention for Multimodal Reasoning—0
Stacking with Auxiliary Features for Visual Question Answering—0
StackOverflowVQA: Stack Overflow Visual Question Answering Dataset—0
STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling—0
STAR: A Benchmark for Situated Reasoning in Real-World Videos—0
Stars at Qur’an QA 2022: Building Automatic Extractive Question Answering Systems for the Holy Qur’an with Transformer Models and Releasing a New Dataset—0
Correctness Coverage Evaluation for Medical Multiple-Choice Question Answering Based on the Enhanced Conformal Prediction Framework—0
Statistical Machine Translation Improves Question Retrieval in Community Question Answering via Matrix Factorization—0
Statistical Script Learning with Recurrent Neural Networks—0
Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks—0
Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation—0
SteLLA: A Structured Grading System Using LLMs with RAG—0
STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training—0
Steps are all you need: Rethinking STEM Education with Prompt Engineering—0
Steps to Knowledge Graphs Quality Assessment—0
STL-CQA: Structure-based Transformers with Localization and Encoding for Chart Question Answering—0
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training—0
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks—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