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 6451–6475 of 10817 papers

TitleStatusHype
How do QA models combine knowledge from LM and 100 passages?—0
How do Negation and Modality Impact on Opinions?—0
Contextualized Embeddings based Convolutional Neural Networks for Duplicate Question Identification—0
Modelling Long-distance Node Relations for KBQA with Global Dynamic Graph—0
A Survey on Large Language Models with some Insights on their Capabilities and Limitations—0
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants—0
Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks—0
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models—0
Multimodal Commonsense Knowledge Distillation for Visual Question Answering—0
Modular Blended Attention Network for Video Question Answering—0
How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations—0
Modular Graph Attention Network for Complex Visual Relational Reasoning—0
Contextualized Attention-based Knowledge Transfer for Spoken Conversational Question Answering—0
Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases—0
A Survey on Knowledge-Oriented Retrieval-Augmented Generation—0
Modulating Language Model Experiences through Frictions—0
How Context Affects Language Models' Factual Predictions—0
A Multi-Source Retrieval Question Answering Framework Based on RAG—0
How Can Objects Help Video-Language Understanding?—0
A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?—0
MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting—0
Bridging the Gap Between Information Seeking and Product Search Systems: Q&A Recommendation for E-commerce—0
Accounting for Focus Ambiguity in Visual Questions—0
Mondrian: Prompt Abstraction Attack Against Large Language Models for Cheaper API Pricing—0
Multimedia Summary Generation from Online Conversations: Current Approaches and Future Directions—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