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 4501–4550 of 10817 papers

TitleStatusHype
Advancing Multimodal Medical Capabilities of Gemini—0
2M-NER: Contrastive Learning for Multilingual and Multimodal NER with Language and Modal Fusion—0
Deep Bayesian Active Learning for Multiple Correct Outputs—0
Deep Attentive Sentence Ordering Network—0
AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework—0
Deep Attention Neural Tensor Network for Visual Question Answering—0
Deep Algorithmic Question Answering: Towards a Compositionally Hybrid AI for Algorithmic Reasoning—0
Auto-Parsing Network for Image Captioning and Visual Question Answering—0
Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality—0
Dedicated Workflow Management for OKBQA Framework—0
Auto-MLM: Improved Contrastive Learning for Self-supervised Multi-lingual Knowledge Retrieval—0
Decoupled Transformer for Scalable Inference in Open-domain Question Answering—0
Decoupled Transformer for Scalable Inference in Open-domain Question Answering—0
A Comparative Study of Conversion Aided Methods for WordNet Sentence Textual Similarity—0
Information Navigation System Based on POMDP that Tracks User Focus—0
Decoupled Context Processing for Context Augmented Language Modeling—0
AutoMedEval: Harnessing Language Models for Automatic Medical Capability Evaluation—0
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering—0
Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering—0
Automatic Thesaurus Construction for Modern Hebrew—0
An Empirical Study of Combing Multiple Models in Bengali Question Classification—0
Decontextualization: Making Sentences Stand-Alone—0
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation—0
Decomposing Consumer Health Questions—0
Automatic Spanish Translation of SQuAD Dataset for Multi-lingual Question Answering—0
Advancing Medical Imaging with Language Models: A Journey from N-grams to ChatGPT—0
A Comparative Evaluation of Visual and Natural Language Question Answering Over Linked Data—0
Information Extraction over Structured Data: Question Answering with Freebase—0
Decoding on Graphs: Faithful and Sound Reasoning on Knowledge Graphs through Generation of Well-Formed Chains—0
Automatic Rule Extraction from Long Short Term Memory Networks—0
Information Discovery in e-Commerce—0
An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts—0
Automatic recognition of habituals: a three-way classification of clausal aspect—0
Advancing Large Language Model Attribution through Self-Improving—0
Information Extraction From Co-Occurring Similar Entities—0
Automatic Question Generation using Relative Pronouns and Adverbs—0
Decision Knowledge Graphs: Construction of and Usage in Question Answering for Clinical Practice Guidelines—0
Decipherment—0
Automatic Question-Answering Using A Deep Similarity Neural Network—0
An Empirical Evaluation of Visual Question Answering for Novel Objects—0
Information Extraction from Documents: Question Answering vs Token Classification in real-world setups—0
Information Gathering in Networks via Active Exploration—0
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes—0
Deceptive Answer Prediction with User Preference Graph—0
Deception Detection in News Reports in the Russian Language: Lexics and Discourse—0
Automatic Question Answering for Medical MCQs: Can It go Further than Information Retrieval?—0
Automatic Question-Answer Generation for Long-Tail Knowledge—0
An Empirical Evaluation of various Deep Learning Architectures for Bi-Sequence Classification Tasks—0
An Empirical Evaluation of Large Language Models on Consumer Health Questions—0
DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models—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