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 7201–7250 of 10817 papers

TitleStatusHype
Hallucination Augmented Recitations for Language Models—0
Orca 2: Teaching Small Language Models How to Reason—0
Order Matters: Exploring Order Sensitivity in Multimodal Large Language Models—0
LLM-aided explanations of EDA synthesis errors—0
Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning—0
ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
Orthogonality of Syntax and Semantics within Distributional Spaces—0
Is There No Such Thing as a Bad Question? H4R: HalluciBot For Ratiocination, Rewriting, Ranking, and Routing—0
Orthogonality regularizer for question answering—0
OSU\_CHGCG at SemEval-2016 Task 9 : Chinese Semantic Dependency Parsing with Generalized Categorial Grammar—0
AMR Parsing with an Incremental Joint Model—0
Explanation as Question Answering based on a Task Model of the Agent's Design—0
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering—0
HAIR: Hierarchical Visual-Semantic Relational Reasoning for Video Question Answering—0
A Study on Multimodal and Interactive Explanations for Visual Question Answering—0
Overcoming Language Bias in Remote Sensing Visual Question Answering via Adversarial Training—0
Overcoming Language Priors for Visual Question Answering Based on Knowledge Distillation—0
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization—0
Architecture for a Trustworthy Quantum Chatbot—0
PeCoQ: A Dataset for Persian Complex Question Answering over Knowledge Graph—0
Overcoming the vanishing gradient problem in plain recurrent networks—0
Overfitting at SemEval-2016 Task 3: Detecting Semantically Similar Questions in Community Question Answering Forums with Word Embeddings—0
Overinformative Question Answering by Humans and Machines—0
Overview of BioASQ 2020: The eighth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering—0
Overview of BioASQ 2021: The ninth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering—0
Connecting Language and Vision to Actions—0
Overview of BioASQ 2023: The eleventh BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering—0
Overview of Factify5WQA: Fact Verification through 5W Question-Answering—0
Hadamard product in deep learning: Introduction, Advances and Challenges—0
AMRITA\_CEN@SemEval-2015: Paraphrase Detection for Twitter using Unsupervised Feature Learning with Recursive Autoencoders—0
Overview of the MedVidQA 2022 Shared Task on Medical Video Question-Answering—0
Overview of the NLPCC 2025 Shared Task 4: Multi-modal, Multilingual, and Multi-hop Medical Instructional Video Question Answering Challenge—0
Overview of TREC 2024 Biomedical Generative Retrieval (BioGen) Track—0
PEACE: Empowering Geologic Map Holistic Understanding with MLLMs—0
OVQA: A Clinically Generated Visual Question Answering Dataset—0
GW\_QA at SemEval-2017 Task 3: Question Answer Re-ranking on Arabic Fora—0
P^3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training—0
PABI: A Unified PAC-Bayesian Informativeness Measure for Incidental Supervision Signals—0
PaCCSS-IT: A Parallel Corpus of Complex-Simple Sentences for Automatic Text Simplification—0
A Study on Expert Sourcing Enterprise Question Collection and Classification—0
Accelerating Real-Time Question Answering via Question Generation—0
PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models—0
P\'agico: Evaluating Wikipedia-based information retrieval in Portuguese—0
Paired Examples as Indirect Supervision in Latent Decision Models—0
Exploiting Bilingual Translation for Question Retrieval in Community-Based Question Answering—0
Confidence Estimation for Knowledge Base Population—0
Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural Network—0
Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement—0
GUITAR: Gradient Pruning toward Fast Neural Ranking—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