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 8651–8675 of 10817 papers

TitleStatusHype
Large Vision-Language Models for Remote Sensing Visual Question Answering—0
LARSA22 at Qur’an QA 2022: Text-to-Text Transformer for Finding Answers to Questions from Qur’an—0
LasigeBioTM at MEDIQA 2019: Biomedical Question Answering using Bidirectional Transformers and Named Entity Recognition—0
Latent Question Reformulation and Information Accumulation for Multi-Hop Machine Reading—0
Latent Semantic Tensor Indexing for Community-based Question Answering—0
Latent Space Embedding for Retrieval in Question-Answer Archives—0
Latent Trees for Coreference Resolution—0
Latent Variable Models for Visual Question Answering—0
Latent-Variable PCFGs: Background and Applications—0
LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement—0
LAVIS: A Library for Language-Vision Intelligence—0
Layer Importance and Hallucination Analysis in Large Language Models via Enhanced Activation Variance-Sparsity—0
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference—0
LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System—0
LCQMC:A Large-scale Chinese Question Matching Corpus—0
LCV2: An Efficient Pretraining-Free Framework for Grounded Visual Question Answering—0
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models—0
LEAF-QA: Locate, Encode & Attend for Figure Question Answering—0
LeanContext: Cost-Efficient Domain-Specific Question Answering Using LLMs—0
Lean Question Answering over Freebase from Scratch—0
Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary—0
Learning Adaptable Patterns for Passage Reranking—0
Learning Analogy-Preserving Sentence Embeddings for Answer Selection—0
Learning and Evaluating General Linguistic Intelligence—0
Learning and Knowledge Transfer with Memory Networks for Machine Comprehension—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