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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 10201–10250 of 10817 papers

TitleStatusHype
Dynamic Key-value Memory Enhanced Multi-step Graph Reasoning for Knowledge-based Visual Question AnsweringCode0
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and CalibrationCode0
MapQaTor: An Extensible Framework for Efficient Annotation of Map-Based QA DatasetsCode0
One-shot Learning for Question-Answering in Gaokao History ChallengeCode0
One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive LearningCode0
MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data UncertaintyCode0
Attend What You Need: Motion-Appearance Synergistic Networks for Video Question AnsweringCode0
CATENA: CAusal and TEmporal relation extraction from NAtural language textsCode0
Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models' Uncertainty?Code0
AttackSeqBench: Benchmarking Large Language Models' Understanding of Sequential Patterns in Cyber AttacksCode0
Rematch: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic SimilarityCode0
Dynamic Coattention Networks For Question AnsweringCode0
Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language ModelsCode0
CAST: Cross-modal Alignment Similarity Test for Vision Language ModelsCode0
DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic ScenesCode0
Marten: Visual Question Answering with Mask Generation for Multi-modal Document UnderstandingCode0
Ranking Generated Answers: On the Agreement of Retrieval Models with Humans on Consumer Health QuestionsCode0
Alloprof: a new French question-answer education dataset and its use in an information retrieval case studyCode0
Masking in Multi-hop QA: An Analysis of How Language Models Perform with Context PermutationCode0
Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation LearningCode0
DVQA: Understanding Data Visualizations via Question AnsweringCode0
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual DialogueCode0
Dual Recurrent Attention Units for Visual Question AnsweringCode0
A Little Human Data Goes A Long WayCode0
Text-to-SQL Generation for Question Answering on Electronic Medical RecordsCode0
Prompting-based Synthetic Data Generation for Few-Shot Question AnsweringCode0
Ranking Paragraphs for Improving Answer Recall in Open-Domain Question AnsweringCode0
A Transition-based Algorithm for AMR ParsingCode0
Dual Attention Networks for Visual Reference Resolution in Visual DialogCode0
Matching Article Pairs with Graphical Decomposition and ConvolutionsCode0
MatchZoo: A Learning, Practicing, and Developing System for Neural Text MatchingCode0
MatchZoo: A Toolkit for Deep Text MatchingCode0
RankQA: Neural Question Answering with Answer Re-RankingCode0
Dual Attention Networks for Multimodal Reasoning and MatchingCode0
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative StructuresCode0
MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical ReasoningCode0
Dual Ask-Answer Network for Machine Reading ComprehensionCode0
DTW at Qur’an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource DomainCode0
DTW at Qur'an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource DomainCode0
REMIND Your Neural Network to Prevent Catastrophic ForgettingCode0
ATP: Directed Graph Embedding with Asymmetric Transitivity PreservationCode0
Cascading Adaptors to Leverage English Data to Improve Performance of Question Answering for Low-Resource LanguagesCode0
MBBQ: A Dataset for Cross-Lingual Comparison of Stereotypes in Generative LLMsCode0
Integrating Multimodal Information in Large Pretrained TransformersCode0
Acquiring Common Sense Spatial Knowledge through Implicit Spatial TemplatesCode0
DRS: Deep Question Reformulation With Structured OutputCode0
Answer Questions with Right Image Regions: A Visual Attention Regularization ApproachCode0
Drop Dropout on Single-Epoch Language Model PretrainingCode0
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over ParagraphsCode0
On Modality Bias in the TVQA DatasetCode0
Show:102550
← PrevPage 205 of 217Next →
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