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 4551–4600 of 10817 papers

TitleStatusHype
Integrating Question Classification and Deep Learning for improved Answer Selection—0
An Empirical Comparison of Question Classification Methods for Question Answering Systems—0
Debating for Better Reasoning: An Unsupervised Multimodal Approach—0
Automatic Noun Compound Interpretation using Deep Neural Networks and Word Embeddings—0
Advancing Egocentric Video Question Answering with Multimodal Large Language Models—0
Answering Any-hop Open-domain Questions with Iterative Document Reranking—0
Automatic lexical semantic classification of nouns—0
DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer—0
Automatic Keyword Extraction on Twitter—0
An Empirical Comparison of LM-based Question and Answer Generation Methods—0
A Comparative and Experimental Study on Automatic Question Answering Systems and its Robustness against Word Jumbling—0
Integrating Object Detection Modality into Visual Language Model for Enhanced Autonomous Driving Agent—0
Integrating Question Rewrites in Conversational Question Answering: A Reinforcement Learning Approach—0
Automatic Interpretation of the English Possessive—0
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding—0
An Empirical Assessment of Contemporary Online Media in Ad-Hoc Corpus Creation for Social Events—0
DBpedia Domains: augmenting DBpedia with domain information—0
DBpedia: A Multilingual Cross-domain Knowledge Base—0
Automatic Identifying Entity Type in Linked Data—0
Integrating Large Language Models with Graph-based Reasoning for Conversational Question Answering—0
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks—0
Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation—0
A Combined Pattern-based and Distributional Approach for Automatic Hypernym Detection in Dutch.—0
Dataset vs Reality: Understanding Model Performance from the Perspective of Information Need—0
Datasets for Multilingual Answer Sentence Selection—0
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