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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6651–6700 of 10817 papers

TitleStatusHype
Hi, how can I help you?: Automating enterprise IT support help desks—0
Context-Efficient Retrieval with Factual Decomposition—0
High Quality Dependency Selection from Automatic Parses—0
Multi-Modal Fusion Transformer for Visual Question Answering in Remote Sensing—0
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends—0
A Survey of Vision-Language Pre-training from the Lens of Multimodal Machine Translation—0
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Reliable Response Generation in the Wild—0
Higher-order Lexical Semantic Models for Non-factoid Answer Reranking—0
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models—0
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis—0
Multimodal Integration of Human-Like Attention in Visual Question Answering—0
Multimodal Intelligence: Representation Learning, Information Fusion, and Applications—0
High Accuracy Rule-based Question Classification using Question Syntax and Semantics—0
Multi-modality Latent Interaction Network for Visual Question Answering—0
Context-Dependent Semantic Parsing for Temporal Relation Extraction—0
Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition—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
HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding—0
Enhancing Question Answering on Charts Through Effective Pre-training Tasks—0
Context-based Transformer Models for Answer Sentence Selection—0
A Multimodal Dense Retrieval Approach for Speech-Based Open-Domain Question Answering—0
MultiModalQA: Complex Question Answering over Text, Tables and Images—0
Neural Clinical Paraphrase Generation with Attention—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
But What Do We Actually Know?—0
Multi-Modal Retrieval Augmentation for Open-Ended and Knowledge-Intensive Video Question Answering—0
Multi-Modal Retrieval For Large Language Model Based Speech Recognition—0
Multi-modal Retrieval of Tables and Texts Using Tri-encoder Models—0
Neural Contextual Conversation Learning with Labeled Question-Answering Pairs—0
Neural Knowledge Bank for Pretrained Transformers—0
Multimodal Transformer With a Low-Computational-Cost Guarantee—0
Multimodal Transformer with Pointer Network for the DSTC8 AVSD Challenge—0
Neural Program Planner for Structured Predictions—0
Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction—0
Multimodal Use of an Upper-Level Event Ontology—0
Multi-Module System for Open Domain Chinese Question Answering over Knowledge Base—0
Hierarchical Topic Structuring: From Dense Segmentation to Topically Focused Fragments via Burst Analysis—0
Multi-object event graph representation learning for Video Question Answering—0
Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs—0
Enhancing Software-Related Information Extraction via Single-Choice Question Answering with Large Language Models—0
Hierarchical Topical Segmentation with Affinity Propagation—0
Context based Text-generation using LSTM networks—0
Show:102550
← PrevPage 134 of 217Next →
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