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 10351–10375 of 10817 papers

TitleStatusHype
Talk to Papers: Bringing Neural Question Answering to Academic Search—0
Talk to Right Specialists: Routing and Planning in Multi-agent System for Question Answering—0
Talla at SemEval-2017 Task 3: Identifying Similar Questions Through Paraphrase Detection—0
Talla at SemEval-2018 Task 7: Hybrid Loss Optimization for Relation Classification using Convolutional Neural Networks—0
TALN-UPF: Taxonomy Learning Exploiting CRF-Based Hypernym Extraction on Encyclopedic Definitions—0
TANGO: Training-free Embodied AI Agents for Open-world Tasks—0
Tapping BERT for Preposition Sense Disambiguation—0
Tapping BERT for Preposition Sense Disambiguation—0
TARGA: Targeted Synthetic Data Generation for Practical Reasoning over Structured Data—0
Targeted Extraction of Temporal Facts from Textual Resources for Improved Temporal Question Answering over Knowledge Bases—0
Target Prompting for Information Extraction with Vision Language Model—0
TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties—0
TASA: Twin Answer Sentences Attack for Adversarial Context Generation in Question Answering—0
Task-adaptive Pre-training of Language Models with Word Embedding Regularization—0
Task-Agnostic Detector for Insertion-Based Backdoor Attacks—0
Task-driven Visual Saliency and Attention-based Visual Question Answering—0
Task Formulation Matters When Learning Continuously: A Case Study in Visual Question Answering—0
Explainable Semantic Communication for Text Tasks—0
Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference—0
Task-Oriented Intrinsic Evaluation of Semantic Textual Similarity—0
Task-Oriented Multi-User Semantic Communications—0
Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks—0
Task Preferences across Languages on Community Question Answering Platforms—0
Task Progressive Curriculum Learning for Robust Visual Question Answering—0
Task Specific Pruning with LLM-Sieve: How Many Parameters Does Your Task Really Need?—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