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 9401–9450 of 10817 papers

TitleStatusHype
Understanding BLOOM: An empirical study on diverse NLP tasks—0
On the Calibration of Multilingual Question Answering LLMs—0
Understanding Complexity in VideoQA via Visual Program Generation—0
Understanding Dataset Design Choices for Multi-hop Reasoning—0
Understanding Finetuning for Factual Knowledge Extraction—0
Understanding in Artificial Intelligence—0
Understanding Information Storage and Transfer in Multi-modal Large Language Models—0
Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing—0
Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes—0
Understanding Retrieval Augmentation for Long-Form Question Answering—0
Understanding the Behaviors of BERT in Ranking—0
Understanding the Effectiveness of Very Large Language Models on Dialog Evaluation—0
Understanding the Extent to which Content Quality Metrics Measure the Information Quality of Summaries—0
Understanding the Logical and Semantic Structure of Large Documents—0
Understanding the Role of Scene Graphs in Visual Question Answering—0
Understanding Unnatural Questions Improves Reasoning over Text—0
Understanding Video Scenes through Text: Insights from Text-based Video Question Answering—0
Understand, Think, and Answer: Advancing Visual Reasoning with Large Multimodal Models—0
Unforgettable Generalization in Language Models—0
UnICLAM:Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering—0
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks—0
Bidirectional Contrastive Split Learning for Visual Question Answering—0
Uni-EDEN: Universal Encoder-Decoder Network by Multi-Granular Vision-Language Pre-training—0
Unified Autoregressive Visual Generation and Understanding with Continuous Tokens—0
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks—0
Unified Language Representation for Question Answering over Text, Tables, and Images—0
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation—0
Unified Question Generation with Continual Lifelong Learning—0
Uniform Discretized Integrated Gradients: An effective attribution based method for explaining large language models—0
Unifying Corroborative and Contributive Attributions in Large Language Models—0
Unifying Image Processing as Visual Prompting Question Answering—0
Unifying Large Language Models and Knowledge Graphs: A Roadmap—0
Unifying Question Answering, Text Classification, and Regression via Span Extraction—0
UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models—0
UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering—0
UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures—0
UniMelb\_NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity—0
Unimib Assistant: designing a student-friendly RAG-based chatbot for all their needs—0
Uni-Mlip: Unified Self-supervision for Medical Vision Language Pre-training—0
UniOQA: A Unified Framework for Knowledge Graph Question Answering with Large Language Models—0
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database—0
UniRVQA: A Unified Framework for Retrieval-Augmented Vision Question Answering via Self-Reflective Joint Training—0
UnitedQA: A Hybrid Approach for Open Domain Question Answering—0
UNITER: Learning UNiversal Image-TExt Representations—0
UniF^2ace: Fine-grained Face Understanding and Generation with Unified Multimodal Models—0
Universal Conceptual Cognitive Annotation (UCCA)—0
Universal Dependencies for Amharic—0
Universal Dependencies for Arabic—0
Universal Recurrent Event Memories for Streaming Data—0
Universal Self-Consistency for Large Language Model Generation—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