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 6551–6575 of 10817 papers

TitleStatusHype
MUCS@TechDOfication using FineTuned Vectors and n-grams—0
Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA—0
Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA—0
Context-Paraphrase Enhanced Commonsense Question Answering—0
Multi-Sentence Compression with Word Vertex-Labeled Graphs and Integer Linear Programming—0
Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering—0
HITSZ-ICRC: An Integration Approach for QA TempEval Challenge—0
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too—0
Multi-Agent Embodied Question Answering in Interactive Environments—0
HIT&QMUL at SemEval-2022 Task 9: Label-Enclosed Generative Question Answering (LEG-QA)—0
Multi-agent query reformulation: Challenges and the role of diversity—0
Multi-Agents Based on Large Language Models for Knowledge-based Visual Question Answering—0
Context Modeling with Evidence Filter for Multiple Choice Question Answering—0
Multicalibration for Confidence Scoring in LLMs—0
Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction—0
Multichannel LSTM-CNN for Telugu Technical Domain Identification—0
Multichannel LSTM-CNN for Telugu Text Classification—0
Hitachi at SemEval-2017 Task 12: System for temporal information extraction from clinical notes—0
Enhanced Knowledge Graphs Using Typed Entailment Graphs—0
Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes—0
Hitachi at SemEval-2016 Task 12: A Hybrid Approach for Temporal Information Extraction from Clinical Notes—0
Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context—0
Multi-Dimensional Feature Merger for Question Answering—0
Multi-Document Financial Question Answering using LLMs—0
A Survey on Conversational Search and Applications in Biomedicine—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