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 7776–7800 of 10817 papers

TitleStatusHype
IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models—0
Query Expansion for Cross-Language Question Re-Ranking—0
Query expansion techniques for information retrieval: A survey—0
Curriculum Learning Based on Reward Sparseness for Deep Reinforcement Learning of Task Completion Dialogue Management—0
IRIS: a Chat-oriented Dialogue System based on the Vector Space Model—0
Automated Extraction of Number of Subjects in Randomised Controlled Trials—0
iReason: Multimodal Commonsense Reasoning using Videos and Natural Language with Interpretability—0
Curio SmartChat : A system for Natural Language Question Answering for Self-Paced K-12 Learning—0
IQViC: In-context, Question Adaptive Vision Compressor for Long-term Video Understanding LMMs—0
CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning—0
An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation—0
iQUEST: An Iterative Question-Guided Framework for Knowledge Base Question Answering—0
CUNI Submission to MRL 2023 Shared Task on Multi-lingual Multi-task Information Retrieval—0
IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering—0
Question Analysis for Arabic Question Answering Systems—0
IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes—0
Question and Answer pair generation for Telugu short stories—0
Cultural Palette: Pluralising Culture Alignment via Multi-agent Palette—0
Automated Discovery of Mathematical Definitions in Text with Deep Neural Networks—0
iPerceive: Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering—0
Question Answering and Question Generation for Finnish—0
Automated Discovery of Mathematical Definitions in Text—0
An automatically discovered chain-of-thought prompt generalizes to novel models and datasets—0
A Cognitive Evaluation Benchmark of Image Reasoning and Description for Large Vision-Language Models—0
Invited Talk: IBM Cognitive Computing - An NLP Renaissance!—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