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 9001–9050 of 10817 papers

TitleStatusHype
Build a Robust QA System with Transformer-based Mixture of ExpertsCode0
QA4IE: A Question Answering based Framework for Information ExtractionCode0
An Ontology-Enabled Approach For User-Centered and Knowledge-Enabled Explanations of AI SystemsCode0
Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-trainingCode0
Inferring Implicit Relations in Complex Questions with Language ModelsCode0
Improved RAMEN: Towards Domain Generalization for Visual Question AnsweringCode0
Imitation Learning of Agenda-based Semantic ParsersCode0
Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question AnsweringCode0
Image Question Answering using Convolutional Neural Network with Dynamic Parameter PredictionCode0
Ask the Right Questions: Active Question Reformulation with Reinforcement LearningCode0
Image Content Generation with Causal ReasoningCode0
QACE: Asking Questions to Evaluate an Image CaptionCode0
Ask me in your own words: paraphrasing for multitask question answeringCode0
Optimizing AI Reasoning: A Hamiltonian Dynamics Approach to Multi-Hop Question AnsweringCode0
Optimizing and Evaluating Enterprise Retrieval-Augmented Generation (RAG): A Content Design PerspectiveCode0
Ask Me Even More: Dynamic Memory Tensor Networks (Extended Model)Code0
DESCGEN: A Distantly Supervised Datasetfor Generating Entity DescriptionsCode0
Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question AnsweringCode0
DESCGEN: A Distantly Supervised Dataset for Generating Abstractive Entity DescriptionsCode0
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksCode0
IMAD: IMage-Augmented multi-modal DialogueCode0
Illusory VQA: Benchmarking and Enhancing Multimodal Models on Visual IllusionsCode0
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail KnowledgeCode0
ILLUME: Rationalizing Vision-Language Models through Human InteractionsCode0
Injecting Numerical Reasoning Skills into Knowledge Base Question Answering ModelsCode0
MIRTT: Learning Multimodal Interaction Representations from Trilinear Transformers for Visual Question AnsweringCode0
Dense Passage Retrieval in Conversational SearchCode0
Denotation Extraction for Interactive Learning in Dialogue SystemsCode0
Denoising Table-Text Retrieval for Open-Domain Question AnsweringCode0
Annotating and Characterizing Clinical Sentences with Explicit Why-QA CuesCode0
IIU: Independent Inference Units for Knowledge-based Visual Question AnsweringCode0
QACP: An Annotated Question Answering Dataset for Assisting Chinese Python Programming LearnersCode0
Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval MarginalizationCode0
Annobot: Platform for Annotating and Creating Datasets through Conversation with a ChatbotCode0
IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue IdentificationCode0
II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question AnsweringCode0
Denoising Distantly Supervised Open-Domain Question AnsweringCode0
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching ModelCode0
If the Sources Could Talk: Evaluating Large Language Models for Research Assistance in HistoryCode0
An Interpretable Reasoning Network for Multi-Relation Question AnsweringCode0
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive AdaptationCode0
Idiom Paraphrases: Seventh Heaven vs Cloud NineCode0
QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question AnsweringCode0
Identifying Unclear Questions in Community Question Answering WebsitesCode0
Optimizing Retrieval-augmented Reader Models via Token EliminationCode0
Instruction Makes a DifferenceCode0
BUCA: A Binary Classification Approach to Unsupervised Commonsense Question AnsweringCode0
Ask Me Anything: Dynamic Memory Networks for Natural Language ProcessingCode0
Bridging Vision and Language Spaces with Assignment PredictionCode0
Mitigating Temporal Misalignment by Discarding Outdated FactsCode0
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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