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 5226–5250 of 10817 papers

TitleStatusHype
Improving Data Augmentation in Low-resource Question Answering with Active Learning in Multiple Stages—0
Generating and Evaluating Explanations of Attended and Error-Inducing Input Regions for VQA Models—0
Knowing Where to Look? Analysis on Attention of Visual Question Answering System—0
KnowIT VQA: Answering Knowledge-Based Questions about Videos—0
Improving Data Augmentation for Robust Visual Question Answering with Effective Curriculum Learning—0
Correction of Faulty Background Knowledge based on Condition Aware and Revise Transformer for Question Answering—0
Improving Cross-Modal Understanding in Visual Dialog via Contrastive Learning—0
Knowledge-Aided Open-Domain Question Answering—0
Knowledge AI: Fine-tuning NLP Models for Facilitating Scientific Knowledge Extraction and Understanding—0
Improving Cross-lingual Representation for Semantic Retrieval with Code-switching—0
Analyzing and Characterizing User Intent in Information-seeking Conversations—0
Accurate Supervised and Semi-Supervised Machine Reading for Long Documents—0
Knowledge-Augmented Language Models Interpreting Structured Chest X-Ray Findings—0
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models—0
Knowledge-Aware Iterative Retrieval for Multi-Agent Systems—0
Knowledge-Aware Language Model Pretraining—0
Knowledge-Aware Reasoning over Multimodal Semi-structured Tables—0
Corpus-Driven Thematic Hierarchy Induction—0
Knowledge-based Conversational Search—0
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization—0
Knowledge Based Machine Reading Comprehension—0
Corpus-Based Paraphrase Detection Experiments and Review—0
Improving Conditioning in Context-Aware Sequence to Sequence Models—0
Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes—0
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference—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