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 9451–9500 of 10817 papers

TitleStatusHype
Universal Text Representation from BERT: An Empirical Study—0
University Entrance Examinations as a Benchmark Resource for NLP-based Problem Solving—0
University\_Of\_Sheffield: Two Approaches to Semantic Text Similarity—0
Un jeu de données pour répondre à des questions visuelles à propos d’entités nommées en utilisant des bases de connaissances (ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities)—0
Unleashing the Potential of Large Language Model: Zero-shot VQA for Flood Disaster Scenario—0
Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data—0
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting—0
Unlocking Structured Thinking in Language Models with Cognitive Prompting—0
Unlocking the Potential of Multiple BERT Models for Bangla Question Answering in NCTB Textbooks—0
Unlocking Video-LLM via Agent-of-Thoughts Distillation—0
Unlock the Power of Unlabeled Data in Language Driving Model—0
Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering—0
Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models—0
Unraveling the Truth: Do VLMs really Understand Charts? A Deep Dive into Consistency and Robustness—0
Unreasonable Effectiveness of Rule-Based Heuristics in Solving Russian SuperGLUE Tasks—0
Unseen Entity Handling in Complex Question Answering over Knowledge Base via Language Generation—0
UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs' Memorization—0
Unshuffling Data for Improved Generalization—0
Unshuffling Data for Improved Generalization in Visual Question Answering—0
Unstructured and structured data: Can we have the best of both worlds with large language models?—0
Unsupervised Abbreviation Disambiguation Contextual disambiguation using word embeddings—0
Unsupervised Adaptation of Question Answering Systems via Generative Self-training—0
Unsupervised Domain Adaptation of Contextual Embeddings for Low-Resource Duplicate Question Detection—0
Unsupervised Domain Adaptation of Language Models for Reading Comprehension—0
Unsupervised Domain Adaptation on Question-Answering System with Conversation Data—0
Unsupervised Evaluation for Question Answering with Transformers—0
Unsupervised Event Coreference Resolution—0
Unsupervised Induction of Cross-Lingual Semantic Relations—0
Unsupervised Inflection Generation Using Neural Language Modeling—0
Unsupervised Keyword Extraction for Full-sentence VQA—0
Unsupervised multiple-choice question generation for out-of-domain Q\&A fine-tuning—0
Unsupervised multiple-choice question generation for out-of-domain Q&A fine-tuning—0
Unsupervised multiple choices question answering via universal corpus—0
Unsupervised Natural Question Answering with a Small Model—0
Unsupervised Open-Domain Question Answering—0
Unsupervised Open-Domain Question Answering with Higher Answerability—0
Unsupervised Pre-training for Biomedical Question Answering—0
Unsupervised Question Answering for Fact-Checking—0
Unsupervised Question Clarity Prediction Through Retrieved Item Coherency—0
Unsupervised Relation Discovery with Sense Disambiguation—0
Unsupervised Relation Extraction of In-Domain Data from Focused Crawls—0
Unsupervised Relation Extraction with General Domain Knowledge—0
Unsupervised Solution Post Identification from Discussion Forums—0
Unsupervised Techniques for Extracting and Clustering Complex Events in News—0
Unsupervised Template Mining for Semantic Category Understanding—0
Unsupervised Verb Inference from Nouns Crossing Root Boundary—0
Unveiling Cross Modality Bias in Visual Question Answering: A Causal View with Possible Worlds VQA—0
Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation—0
Unveiling LLM Evaluation Focused on Metrics: Challenges and Solutions—0
UofR at SemEval-2016 Task 8: Learning Synchronous Hyperedge Replacement Grammar for AMR Parsing—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