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 6051–6100 of 10817 papers

TitleStatusHype
A Syntactic Approach to Domain-Specific Automatic Question Generation—0
An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans.—0
Contributions to the Improvement of Question Answering Systems in the Biomedical Domain—0
Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering—0
HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases—0
MappSent: a Textual Mapping Approach for Question-to-Question Similarity—0
MappSent at IJCNLP-2017 Task 5: A Textual Similarity Approach Applied to Multi-choice Question Answering in Examinations—0
A Synchronous Hyperedge Replacement Grammar based approach for AMR parsing—0
HuRIC: a Human Robot Interaction Corpus—0
MapQA: Open-domain Geospatial Question Answering on Map Data—0
MAPWise: Evaluating Vision-Language Models for Advanced Map Queries—0
MAQA: A Multimodal QA Benchmark for Negation—0
Accuracy vs. Complexity: A Trade-off in Visual Question Answering Models—0
MARAGS: A Multi-Adapter System for Multi-Task Retrieval Augmented Generation Question Answering—0
MarCQAp: Effective Context Modeling for Conversational Question Answering—0
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets—0
MarioQA: Answering Questions by Watching Gameplay Videos—0
Markov Logic Networks for Natural Language Question Answering—0
Contrastive Video-Language Learning with Fine-grained Frame Sampling—0
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment—0
Human Mobility Question Answering (Vision Paper)—0
AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference—0
DynamicMind: A Tri-Mode Thinking System for Large Language Models—0
MaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models—0
MindBench: A Comprehensive Benchmark for Mind Map Structure Recognition and Analysis—0
Mask4Align: Aligned Entity Prompting with Color Masks for Multi-Entity Localization Problems—0
Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation—0
Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving—0
Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification—0
Contrastive Pre-training for Zero-Shot Information Retrieval—0
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?—0
MASTER: A Multi-Agent System with LLM Specialized MCTS—0
Mastering Board Games by External and Internal Planning with Language Models—0
Match^2: A Matching over Matching Model for Similar Question Identification—0
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?—0
A Survey on Why-Type Question Answering Systems—0
MilkQA: a Dataset of Consumer Questions for the Task of Answer Selection—0
Human-Adversarial Visual Question Answering—0
Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation—0
MATE: Multi-view Attention for Table Transformer Efficiency—0
Human Adversarial QA: Did the Model Understand the Paragraph?—0
Mathematical Information Retrieval: Search and Question Answering—0
Answerability Fields: Answerable Location Estimation via Diffusion Models—0
Huge Automatically Extracted Training-Sets for Multilingual Word SenseDisambiguation—0
Contrastive Data and Learning for Natural Language Processing—0
A survey on VQA_Datasets and Approaches—0
MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sources—0
MAUPQA: Massive Automatically-created Polish Question Answering Dataset—0
Maximizing Information Gain in Partially Observable Environments via Prediction Reward—0
HRVQA: A Visual Question Answering Benchmark for High-Resolution Aerial Images—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