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 6401–6425 of 10817 papers

TitleStatusHype
Dialog-based Language Learning—0
Large Search Model: Redefining Search Stack in the Era of LLMs—0
Dialog-based Language Learning—0
A Neural-Symbolic Approach Towards Identifying Grammatically Correct Sentences—0
Adversarial reading networks for machine comprehension—0
A Complex KBQA System using Multiple Reasoning Paths—0
Large-Scale Semantic Indexing and Question Answering in Biomedicine—0
Large Scale Scene Text Verification with Guided Attention—0
DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production—0
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning—0
DialDoc 2022 Shared Task: Open-Book Document-grounded Dialogue Modeling—0
Large Scale Question Answering using Tourism Data—0
Large-Scale Paraphrasing for Natural Language Understanding—0
MNet-Sim: A Multi-layered Semantic Similarity Network to Evaluate Sentence Similarity—0
Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documents—0
DialDoc 2021 Shared Task: Goal-Oriented Document-grounded Dialogue Modeling—0
Basic Reasoning with Tensor Product Representations—0
Large-Scale Goodness Polarity Lexicons for Community Question Answering—0
Large Scale Generative Multimodal Attribute Extraction for E-commerce Attributes—0
Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking—0
Modality Alignment between Deep Representations for Effective Video-and-Language Learning—0
BAS: An Answer Selection Method Using BERT Language Model—0
Large-scale CCG Induction from the Groningen Meaning Bank—0
Modality-Inconsistent Continual Learning of Multimodal Large Language Models—0
DiagGPT: An LLM-based and Multi-agent Dialogue System with Automatic Topic Management for Flexible Task-Oriented Dialogue—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