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 2401–2425 of 10817 papers

TitleStatusHype
Citation Analysis with Neural Attention Models—0
Around the GLOBE: Numerical Aggregation Question-Answering on Heterogeneous Genealogical Knowledge Graphs with Deep Neural Networks—0
CinePile: A Long Video Question Answering Dataset and Benchmark—0
CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm—0
Adapting Large Language Models to Domains via Reading Comprehension—0
A Biomedical Knowledge Graph for Biomarker Discovery in Cancer—0
Document Attribution: Examining Citation Relationships using Large Language Models—0
CICBUAPnlp: Graph-Based Approach for Answer Selection in Community Question Answering Task—0
CIC: A Framework for Culturally-Aware Image Captioning—0
A Robustly Optimized BERT Pre-training Approach with Post-training—0
A Road-map Towards Explainable Question Answering A Solution for Information Pollution—0
Adapting Large Language Models for Multi-Domain Retrieval-Augmented-Generation—0
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections—0
CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms—0
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges—0
Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads—0
Choosing which to use? A study of distributional models for nominal lexical semantic classification—0
SAGE: A Framework of Precise Retrieval for RAG—0
Docforia: A Multilayer Document Model—0
Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering—0
Aligning a medium-size GPT model in English to a small closed domain in Spanish—0
ChitroJera: A Regionally Relevant Visual Question Answering Dataset for Bangla—0
Argument structure of adverbial derivatives in Russian—0
DLS@CU: Sentence Similarity from Word Alignment—0
Argument Similarity Assessment in German for Intelligent Tutoring: Crowdsourced Dataset and First Experiments—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