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 3851–3875 of 10817 papers

TitleStatusHype
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning—0
DomainInv: Domain Invariant Fine Tuning and Adversarial Label Correction For QA Domain Adaptation—0
Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning—0
Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems—0
DomainCQA: Crafting Expert-Level QA from Domain-Specific Charts—0
Few-shot Unified Question Answering: Tuning Models or Prompts?—0
Few-Shot VQA with Frozen LLMs: A Tale of Two Approaches—0
FFA Sora, video generation as fundus fluorescein angiography simulator—0
Annotating Electronic Medical Records for Question Answering—0
FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering—0
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation—0
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference—0
A Comprehensive Survey on Visual Question Answering Datasets and Algorithms—0
German FinBERT: A German Pre-trained Language Model—0
A Road-map Towards Explainable Question Answering A Solution for Information Pollution—0
Fill-in-the-Blank: A Challenging Video Understanding Evaluation Framework—0
CIC: A Framework for Culturally-Aware Image Captioning—0
Domain Adaptation with Active Learning for Coreference Resolution—0
FilterRAG: Zero-Shot Informed Retrieval-Augmented Generation to Mitigate Hallucinations in VQA—0
Domain Adaptation of VLM for Soccer Video Understanding—0
Beyond Attention: Toward Machines with Intrinsic Higher Mental States—0
Annotating Educational Questions for Student Response Analysis—0
FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation—0
Finding Answers from the Word of God: Domain Adaptation for Neural Networks in Biblical Question Answering—0
Dolphin: A Challenging and Diverse Benchmark for Arabic NLG—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