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 6651–6700 of 10817 papers

TitleStatusHype
Language-Image Models with 3D Understanding—0
BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs—0
Language Features Matter: Effective Language Representations for Vision-Language Tasks—0
Multi-Modal Fusion Transformer for Visual Question Answering in Remote Sensing—0
Designing dialogue systems: A mean, grumpy, sarcastic chatbot in the browser—0
Language bias in Visual Question Answering: A Survey and Taxonomy—0
Language-aware Visual Semantic Distillation for Video Question Answering—0
Multimodal grid features and cell pointers for Scene Text Visual Question Answering—0
Designing a Robust Radiology Report Generation System—0
Backward and Forward Language Modeling for Constrained Sentence Generation—0
Langforia: Language Pipelines for Annotating Large Collections of Documents—0
Multimodal Intelligence: Representation Learning, Information Fusion, and Applications—0
LaMP-QA: A Benchmark for Personalized Long-form Question Answering—0
Multi-modality Latent Interaction Network for Visual Question Answering—0
Designing a Communication Bridge between Communities: Participatory Design for a Question-Answering AI Agent—0
Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence—0
Multimodal Learning and Reasoning for Visual Question Answering—0
Scene Graph Reasoning with Prior Visual Relationship for Visual Question Answering—0
Multimodal Machine Learning: Integrating Language, Vision and Speech—0
Multimodal Multi-Hop Question Answering Through a Conversation Between Tools and Efficiently Finetuned Large Language Models—0
Multimodal Multihop Source Retrieval for Web Question Answering—0
Multimodal Neural Graph Memory Networks for Visual Question Answering—0
Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic Data—0
LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning Language Models—0
Label Embedding for Zero-shot Fine-grained Named Entity Typing—0
Design and Development of Rule-based open-domain Question-Answering System on SQuAD v2.0 Dataset—0
Backpropagation-Free Multi-modal On-Device Model Adaptation via Cloud-Device Collaboration—0
MultiModalQA: Complex Question Answering over Text, Tables and Images—0
A Neural Approach to KGQA via SPARQL Silhouette Generation—0
Multimodal Reasoning with Multimodal Knowledge Graph—0
Multimodal Representations for Teacher-Guided Compositional Visual Reasoning—0
Multimodal Reranking for Knowledge-Intensive Visual Question Answering—0
Adversarial and Safely Scaled Question Generation—0
Towards Understanding Domain Adapted Sentence Embeddings for Document Retrieval—0
Multi-Modal Retrieval For Large Language Model Based Speech Recognition—0
Multi-modal Retrieval of Tables and Texts Using Tri-encoder Models—0
3D Concept Grounding on Neural Fields—0
REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models—0
Multimodal Transformer With a Low-Computational-Cost Guarantee—0
Multimodal Transformer with Pointer Network for the DSTC8 AVSD Challenge—0
Labeled Alignment for Recognizing Textual Entailment—0
Desiderata for the Context Use of Question Answering Systems—0
Multimodal Use of an Upper-Level Event Ontology—0
Multi-Module System for Open Domain Chinese Question Answering over Knowledge Base—0
Label Dependent Deep Variational Paraphrase Generation—0
LABDA at the 2016 BioASQ challenge task 4a: Semantic Indexing by using ElasticSearch—0
Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs—0
Description Logics based Formalization of Wh-Queries—0
Kwame for Science: An AI Teaching Assistant Based on Sentence-BERT for Science Education in West Africa—0
Kwame: A Bilingual AI Teaching Assistant for Online SuaCode Courses—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