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 5351–5375 of 10817 papers

TitleStatusHype
Dependency Extraction for Knowledge-based Domain Classification—0
KSAnswer: Question-answering System of Kangwon National University and Sogang University in the 2016 BioASQ Challenge—0
KSG: Knowledge and Skill Graph—0
KSHSeek: Data-Driven Approaches to Mitigating and Detecting Knowledge-Shortcut Hallucinations in Generative Models—0
Improved Baselines for Data-efficient Perceptual Augmentation of LLMs—0
KSR: A Semantic Representation of Knowledge Graph within a Novel Unsupervised Paradigm—0
K-SRL: Instance-based Learning for Semantic Role Labeling—0
Improved and Efficient Conversational Slot Labeling through Question Answering—0
Analysis of Watson's Strategies for Playing Jeopardy!—0
KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models—0
Accurate Identification of the Karta (Subject) Relation in Bangla—0
KV-Distill: Nearly Lossless Learnable Context Compression for LLMs—0
Improved and Efficient Conversational Slot Labeling through Question Answering—0
KVQA: Knowledge-Aware Visual Question Answering—0
Improved Alignment of Modalities in Large Vision Language Models—0
Importance sampling for unbiased on-demand evaluation of knowledge base population—0
CoRAG: Collaborative Retrieval-Augmented Generation—0
Kwame for Science: An AI Teaching Assistant Based on Sentence-BERT for Science Education in West Africa—0
A Transformer Based Approach towards Identification of Discourse Unit Segments and Connectives—0
Learning to Decompose Compound Questions with Reinforcement Learning—0
LABDA at the 2016 BioASQ challenge task 4a: Semantic Indexing by using ElasticSearch—0
Label Dependent Deep Variational Paraphrase Generation—0
Implicit Relation Linking for Question Answering over Knowledge Graph—0
Labeled Alignment for Recognizing Textual Entailment—0
Implicit Discourse Relation Recognition with Context-aware Character-enhanced Embeddings—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