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

Showing 34513500 of 10817 papers

TitleStatusHype
IQA: Interactive Query Construction in Semantic Question Answering SystemsCode0
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference ContentCode0
Investigating the Shortcomings of LLMs in Step-by-Step Legal ReasoningCode0
IQ-VQA: Intelligent Visual Question AnsweringCode0
IUCM at SemEval-2018 Task 11: Similar-Topic Texts as a Comprehension Knowledge SourceCode0
Introducing MathQA -- A Math-Aware Question Answering SystemCode0
Investigating Post-pretraining Representation Alignment for Cross-Lingual Question AnsweringCode0
IntKB: A Verifiable Interactive Framework for Knowledge Base CompletionCode0
InterroLang: Exploring NLP Models and Datasets through Dialogue-based ExplanationsCode0
Intrinsic Subgraph Generation for Interpretable Graph based Visual Question AnsweringCode0
Interpretable Natural Language Segmentation Based on Link GrammarCode0
Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and PromptsCode0
Audiopedia: Audio QA with KnowledgeCode0
Interpretable Proof Generation via Iterative Backward ReasoningCode0
CROPE: Evaluating In-Context Adaptation of Vision and Language Models to Culture-Specific ConceptsCode0
Interpretable Multi-hop Reasoning for Forecasting Future Links on Temporal Knowledge GraphsCode0
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and SummarisationCode0
Leveraging QA Datasets to Improve Generative Data AugmentationCode0
Jack the Reader -- A Machine Reading FrameworkCode0
CRiskEval: A Chinese Multi-Level Risk Evaluation Benchmark Dataset for Large Language ModelsCode0
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question AnsweringCode0
Interactive Instance-based Evaluation of Knowledge Base Question AnsweringCode0
Intelligent Assistant for People with Low Vision AbilitiesCode0
Integrating question answering and text-to-SQL in PortugueseCode0
Integrating Semantic Knowledge into Lexical Embeddings Based on Information Content MeasurementCode0
Intent Classification in Question-Answering Using LSTM ArchitecturesCode0
Instruction Makes a DifferenceCode0
Crake: Causal-Enhanced Table-Filler for Question Answering over Large Scale Knowledge BaseCode0
Attribute Diversity Determines the Systematicity Gap in VQACode0
Analyzing Vietnamese Legal Questions Using Deep Neural Networks with Biaffine ClassifiersCode0
Integrating Image Features with Convolutional Sequence-to-sequence Network for Multilingual Visual Question AnsweringCode0
Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge BasesCode0
Crafting In-context Examples according to LMs' Parametric KnowledgeCode0
AttenWalker: Unsupervised Long-Document Question Answering via Attention-based Graph WalkingCode0
A Discrete Hard EM Approach for Weakly Supervised Question AnsweringCode0
Injecting Numerical Reasoning Skills into Knowledge Base Question Answering ModelsCode0
Attentive Pooling NetworksCode0
CQASUMM: Building References for Community Question Answering Summarization CorporaCode0
Attentive History Selection for Conversational Question AnsweringCode0
Analyzing the Behavior of Visual Question Answering ModelsCode0
Inducing Temporal Relations from Time Anchor AnnotationCode0
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QACode0
Analyzing Sustainability Reports Using Natural Language ProcessingCode0
Inferring Implicit Relations in Complex Questions with Language ModelsCode0
Interactive Machine Comprehension with Information Seeking AgentsCode0
Incremental and Iterative Learning of Answer Set Programs from Mutually Distinct ExamplesCode0
CODAH: An Adversarially Authored Question-Answer Dataset for Common SenseCode0
Analyzing Social Biases in Japanese Large Language ModelsCode0
A Qualitative Comparison of CoQA, SQuAD 2.0 and QuACCode0
COV19IR : COVID-19 Domain Literature Information RetrievalCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94Unverified
2FPNet (ensemble)EM90.87Unverified
3IE-NetV2 (ensemble)EM90.86Unverified
4SA-Net on Albert (ensemble)EM90.72Unverified
5SA-Net-V2 (ensemble)EM90.68Unverified
6FPNet (ensemble)EM90.6Unverified
7Retro-Reader (ensemble)EM90.58Unverified
8EntitySpanFocusV2 (ensemble)EM90.52Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49Unverified
10EntitySpanFocus+AT (ensemble)EM90.45Unverified