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 35513575 of 10817 papers

TitleStatusHype
Identifying Query-Relevant Neurons in Large Language Models for Long-Form TextsCode0
Incorporating Probing Signals into Multimodal Machine Translation via Visual Question-Answering PairsCode0
In-Context Principle Learning from MistakesCode0
COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question AnsweringCode0
QuASE: Question-Answer Driven Sentence EncodingCode0
Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligenceCode0
Incremental and Iterative Learning of Answer Set Programs from Mutually Distinct ExamplesCode0
Evaluating Search Engines and Large Language Models for Answering Health QuestionsCode0
Inducing Temporal Relations from Time Anchor AnnotationCode0
CoSaTa: A Constraint Satisfaction Solver and Interpreted Language for Semi-Structured Tables of SentencesCode0
A Question-Entailment Approach to Question AnsweringCode0
Attention-Based Bidirectional Long Short-Term Memory Networks for Relation ClassificationCode0
Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel ImagesCode0
A Question-Focused Multi-Factor Attention Network for Question AnsweringCode0
Correct after Answer: Enhancing Multi-Span Question Answering with Post-Processing MethodCode0
A Deep Relevance Matching Model for Ad-hoc RetrievalCode0
Improving Retrieval-Based Question Answering with Deep Inference ModelsCode0
Improving Question Answering with External KnowledgeCode0
CAST: Cross-modal Alignment Similarity Test for Vision Language ModelsCode0
Improving Question Answering over Incomplete KBs with Knowledge-Aware ReaderCode0
Improving Question Answering Performance Using Knowledge Distillation and Active LearningCode0
Expanding End-to-End Question Answering on Differentiable Knowledge Graphs with IntersectionCode0
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized ContextsCode0
Attend What You Need: Motion-Appearance Synergistic Networks for Video Question AnsweringCode0
Core Tokensets for Data-efficient Sequential Training of TransformersCode0
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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