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 6751–6800 of 10817 papers

TitleStatusHype
Multivalent Entailment Graphs for Question Answering—0
Multi-VALUE: A Framework for Cross-Dialectal English NLP—0
Multi-View Approach to Suggest Moderation Actions in Community Question Answering Sites—0
Multi-view Content-aware Indexing for Long Document Retrieval—0
K-SRL: Instance-based Learning for Semantic Role Labeling—0
Dependent Gated Reading for Cloze-Style Question Answering—0
KSR: A Semantic Representation of Knowledge Graph within a Novel Unsupervised Paradigm—0
KS-LLM: Knowledge Selection of Large Language Models with Evidence Document for Question Answering—0
Dependency Parsing: Past, Present, and Future—0
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text—0
MuRAR: A Simple and Effective Multimodal Retrieval and Answer Refinement Framework for Multimodal Question Answering—0
KSHSeek: Data-Driven Approaches to Mitigating and Detecting Knowledge-Shortcut Hallucinations in Generative Models—0
KSG: Knowledge and Skill Graph—0
Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach—0
MUST-VQA: MUltilingual Scene-text VQA—0
KSAnswer: Question-answering System of Kangwon National University and Sogang University in the 2016 BioASQ Challenge—0
Dependency Extraction for Knowledge-based Domain Classification—0
An Ensemble Approach to Question Classification: Integrating Electra Transformer, GloVe, and LSTM—0
KOSMOS-2.5: A Multimodal Literate Model—0
KOSAC: A Full-Fledged Korean Sentiment Analysis Corpus—0
Dependency-Based Open Information Extraction—0
KorQuAD1.0: Korean QA Dataset for Machine Reading Comprehension—0
KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations—0
Korean TimeBank Including Relative Temporal Information—0
A Zero-Shot Claim Detection Framework Using Question Answering—0
Named Entity Recognition for Arabic Social Media—0
Named Entity Recognition in Estonian—0
Named Entity Recognition System for Dialectal Arabic—0
An English-Portuguese parallel corpus of questions: translation guidelines and application in SMT—0
Named Entity Recognition System for Urdu—0
Named Entity Tagging a Very Large Unbalanced Corpus: Training and Evaluating NE Classifiers—0
A Compare-Aggregate Model with Latent Clustering for Answer Selection—0
Kongzi: A Historical Large Language Model with Fact Enhancement—0
NAPG: Non-Autoregressive Program Generation for Hybrid Tabular-Textual Question Answering—0
KoGNER: A Novel Framework for Knowledge Graph Distillation on Biomedical Named Entity Recognition—0
A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks—0
KodeXv0.1: A Family of State-of-the-Art Financial Large Language Models—0
Narrowing the Loop: Integration of Resources and Linguistic Dataset Development with Interactive Machine Learning—0
N-ary Biographical Relation Extraction using Shortest Path Dependencies—0
KoBigBird-large: Transformation of Transformer for Korean Language Understanding—0
NativQA: Multilingual Culturally-Aligned Natural Query for LLMs—0
Natural Answer Generation: From Factoid Answer to Full-length Answer using Grammar Correction—0
Natural Answer Generation with Heterogeneous Memory—0
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples—0
Dense but Efficient VideoQA for Intricate Compositional Reasoning—0
KoBBQ: Korean Bias Benchmark for Question Answering—0
Koala: Key frame-conditioned long video-LLM—0
Natural Language Deduction through Search over Statement Compositions—0
Axiomatic Preference Modeling for Longform Question Answering—0
An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge—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