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 3276–3300 of 10817 papers

TitleStatusHype
Enforcing Reasoning in Visual Commonsense Reasoning—0
Dual Capsule Attention Mask Network with Mutual Learning for Visual Question Answering—0
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too—0
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too—0
English-Korean Named Entity Transliteration Using Substring Alignment and Re-ranking Methods—0
Enhanced Aspect Level Sentiment Classification with Auxiliary Memory—0
Enhanced Chart Understanding in Vision and Language Task via Cross-modal Pre-training on Plot Table Pairs—0
Enhanced Electronic Health Records Text Summarization Using Large Language Models—0
Enhanced Knowledge Graphs Using Typed Entailment Graphs—0
Big Help or Big Brother? Auditing Tracking, Profiling, and Personalization in Generative AI Assistants—0
Enhanced Multimodal RAG-LLM for Accurate Visual Question Answering—0
Enhanced Question-Answering for Skill-based learning using Knowledge-based AI and Generative AI—0
Enhanced Speaker-aware Multi-party Multi-turn Dialogue Comprehension—0
Enhanced vectors for top-k document retrieval in Question Answering—0
Enhanced Textual Feature Extraction for Visual Question Answering: A Simple Convolutional Approach—0
Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization—0
Enhancing Answer Selection in Community Question Answering with Pre-trained and Large Language Models—0
Enhancing BERT-Based Visual Question Answering through Keyword-Driven Sentence Selection—0
SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation—0
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs—0
Enhancing Biosecurity in Tamper-Resistant Large Language Models With Quantum Gradient Descent—0
A Novel Approach Towards Incorporating Context Processing Capabilities in NLIDB System—0
Building a Knowledge Graph from Natural Language Definitions for Interpretable Text Entailment Recognition—0
Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking—0
Exploring The Landscape of Distributional Robustness for Question Answering Models—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