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 5476–5500 of 10817 papers

TitleStatusHype
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge—0
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks—0
COOL, a Context Outlooker, and its Application to Question Answering and other Natural Language Processing Tasks—0
CLIPPO: Image-and-Language Understanding from Pixels Only—0
Bayesian Attention Belief Networks—0
Latent Question Reformulation and Information Accumulation for Multi-Hop Machine Reading—0
Latent Semantic Tensor Indexing for Community-based Question Answering—0
Cooking with Semantics—0
Latent Trees for Coreference Resolution—0
Latent Variable Models for Visual Question Answering—0
Latent-Variable PCFGs: Background and Applications—0
Analysis of Temporal Expressions Annotated in Clinical Notes—0
Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs—0
Leveraging Linguistic Structure For Open Domain Information Extraction—0
Leveraging Pre-trained Models for Failure Analysis Triplets Generation—0
LAVIS: A Library for Language-Vision Intelligence—0
Lexical Substitution Dataset for German—0
Leveraging Chain of Thought towards Empathetic Spoken Dialogue without Corresponding Question-Answering Data—0
Convolutional Neural Network: Text Classification Model for Open Domain Question Answering System—0
Bayesian Supervised Domain Adaptation for Short Text Similarity—0
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference—0
LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System—0
LCQMC:A Large-scale Chinese Question Matching Corpus—0
IJCNLP-2017 Task 5: Multi-choice Question Answering in Examinations—0
Atomic Fact Decomposition Helps Attributed Question Answering—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