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 5676–5700 of 10817 papers

TitleStatusHype
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance—0
Does the "most sinfully decadent cake ever" taste good? Answering Yes/No Questions from Figurative Contexts—0
Better Early than Late: Fusing Topics with Word Embeddings for Neural Question Paraphrase Identification—0
Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer—0
Does Synthetic Data Generation of LLMs Help Clinical Text Mining?—0
Better Distractions: Transformer-based Distractor Generation and Multiple Choice Question Filtering—0
Does Similarity Matter? The Case of Answer Extraction from Technical Discussion Forums—0
Best Response Shaping—0
Does QA-based intermediate training help fine-tuning language models for text classification?—0
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?—0
BESTMVQA: A Benchmark Evaluation System for Medical Visual Question Answering—0
Annotate and Identify Modalities, Speech Acts and Finer-Grained Event Types in Chinese Text—0
Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think!—0
Does Entity Abstraction Help Generative Transformers Reason?—0
Best-Answer Prediction in Q&A Sites Using User Information—0
Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla—0
ANNA”:" Enhanced Language Representation for Question Answering—0
DocVideoQA: Towards Comprehensive Understanding of Document-Centric Videos through Question Answering—0
BERT vs GPT for financial engineering—0
ANNA: Enhanced Language Representation for Question Answering—0
Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations—0
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers—0
3D Question Answering—0
Document Visual Question Answering Challenge 2020—0
Document Structure aware Relational Graph Convolutional Networks for Ontology Population—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