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 10126–10150 of 10817 papers

TitleStatusHype
Soft Seeded SSL Graphs for Unsupervised Semantic Similarity-based Retrieval—0
Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network—0
SoK: Memorization in General-Purpose Large Language Models—0
SolomonLab at SemEval-2019 Task 8: Question Factuality and Answer Veracity Prediction in Community Forums—0
Solution for SMART-101 Challenge of CVPR Multi-modal Algorithmic Reasoning Task 2024—0
Solution for SMART-101 Challenge of ICCV Multi-modal Algorithmic Reasoning Task 2023—0
Solving Price Per Unit Problem Around the World: Formulating Fact Extraction as Question Answering—0
Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding—0
Solving Visual Madlibs with Multiple Cues—0
Somm: Into the Model—0
SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map—0
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference—0
SOSBENCH: Benchmarking Safety Alignment on Scientific Knowledge—0
Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources—0
Space3D-Bench: Spatial 3D Question Answering Benchmark—0
SPADE: Evaluation Dataset for Monolingual Phrase Alignment—0
SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing—0
Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis—0
SPARQL query generation for complex question answering with BERT and BiLSTM-based model—0
Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiers—0
Spatial Attention as an Interface for Image Captioning Models—0
Spatial Knowledge Distillation to aid Visual Reasoning—0
Spatial Language Understanding with Multimodal Graphs using Declarative Learning based Programming—0
Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions—0
SpatialReasoner: Towards Explicit and Generalizable 3D Spatial Reasoning—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