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 37513800 of 10817 papers

TitleStatusHype
Improving Consistency in Large Language Models through Chain of GuidanceCode0
Textbook Question Answering Under Instructor Guidance With Memory NetworksCode0
TextBugger: Generating Adversarial Text Against Real-world ApplicationsCode0
Improve Query Focused Abstractive Summarization by Incorporating Answer RelevanceCode0
A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete ReasoningCode0
Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted LearningCode0
Improving Health Question Answering with Reliable and Time-Aware Evidence RetrievalCode0
Continually Improving Extractive QA via Human FeedbackCode0
HumaniBench: A Human-Centric Framework for Large Multimodal Models EvaluationCode0
A Survey on Recent Advances in Named Entity Recognition from Deep Learning modelsCode0
Continual Dialogue State Tracking via Example-Guided Question AnsweringCode0
Improved RAMEN: Towards Domain Generalization for Visual Question AnsweringCode0
Image Question Answering using Convolutional Neural Network with Dynamic Parameter PredictionCode0
A review of Spanish corpora annotated with negationCode0
Context-VQA: Towards Context-Aware and Purposeful Visual Question AnsweringCode0
Factor Graph AttentionCode0
Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question AnsweringCode0
Facts That MatterCode0
Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent DomainsCode0
Imitation Learning of Agenda-based Semantic ParsersCode0
Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word RepresentationsCode0
Improving Knowledge-aware Dialogue Generation via Knowledge Base Question AnsweringCode0
Improving Question Answering Performance Using Knowledge Distillation and Active LearningCode0
AI-TA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMsCode0
ILLUME: Rationalizing Vision-Language Models through Human InteractionsCode0
Illusory VQA: Benchmarking and Enhancing Multimodal Models on Visual IllusionsCode0
Contextualized Word Representations for Reading ComprehensionCode0
IIU: Independent Inference Units for Knowledge-based Visual Question AnsweringCode0
IMAD: IMage-Augmented multi-modal DialogueCode0
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language GenerationCode0
II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question AnsweringCode0
Idiom Paraphrases: Seventh Heaven vs Cloud NineCode0
Identifying Unclear Questions in Community Question Answering WebsitesCode0
If the Sources Could Talk: Evaluating Large Language Models for Research Assistance in HistoryCode0
IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue IdentificationCode0
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksCode0
I Could've Asked That: Reformulating Unanswerable QuestionsCode0
Contextual Embeddings for Arabic-English Code-Switched DataCode0
Contextual embedding and model weighting by fusing domain knowledge on Biomedical Question AnsweringCode0
Are VLMs Really BlindCode0
A Lightweight Method to Generate Unanswerable Questions in EnglishCode0
The representation landscape of few-shot learning and fine-tuning in large language modelsCode0
Contextual Dropout: An Efficient Sample-Dependent Dropout ModuleCode0
HyTE: Hyperplane-based Temporally aware Knowledge Graph EmbeddingCode0
Identifying relevant common sense information in knowledge graphsCode0
Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question AnsweringCode0
Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge GraphsCode0
A Survey on Deep Learning for Named Entity RecognitionCode0
Hyperbolic Representation Learning for Fast and Efficient Neural Question AnsweringCode0
Context Independent Term Mapper for European LanguagesCode0
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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