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 4576–4600 of 10817 papers

TitleStatusHype
Integrating Knowledge and Reasoning in Image Understanding—0
Integrating Location, Visibility, and Question-Answering in a Spoken Dialogue System for Pedestrian City Exploration—0
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond—0
Automatic Feature Engineering for Answer Selection and Extraction—0
(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering—0
An Emotional Comfort Framework for Improving User Satisfaction in E-Commerce Customer Service Chatbots—0
Advancing Chinese biomedical text mining with community challenges—0
Integrating Frequency-Domain Representations with Low-Rank Adaptation in Vision-Language Models—0
Data Quality Estimation Framework for Faster Tax Code Classification—0
Automatic Evaluation vs. User Preference in Neural Textual QuestionAnswering over COVID-19 Scientific Literature—0
Data Metabolism: An Efficient Data Design Schema For Vision Language Model—0
PlotQA: Reasoning over Scientific Plots—0
Automatic Evaluation of Summary Using Textual Entailment—0
Integrating Hierarchical Semantic into Iterative Generation Model for Entailment Tree Explanation—0
Integrating Multi-Head Convolutional Encoders with Cross-Attention for Improved SPARQL Query Translation—0
Integrating SPARQL and LLMs for Question Answering over Scholarly Data Sources—0
Biomedical Evidence Generation Engine—0
Dynamic Clue Bottlenecks: Towards Interpretable-by-Design Visual Question Answering—0
Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference—0
DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure—0
Data-efficient Meta-models for Evaluation of Context-based Questions and Answers in LLMs—0
Data-Efficient French Language Modeling with CamemBERTa—0
Data-Efficient Autoregressive Document Retrieval for Fact Verification—0
Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks—0
Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction—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