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 4126–4150 of 10817 papers

TitleStatusHype
BERTologyNavigator: Advanced Question Answering with BERT-based Semantics—0
DocPrompt: Large-scale continue pretrain for zero-shot and few-shot document question answering—0
HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA—0
HIS-GPT: Towards 3D Human-In-Scene Multimodal Understanding—0
An Investigation of Machine Translation Evaluation Metrics in Cross-lingual Question Answering—0
Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving—0
DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering—0
DocGraphLM: Documental Graph Language Model for Information Extraction—0
History-Aware Question Answering in a Blocks World Dialogue System—0
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation—0
Docforia: A Multilayer Document Model—0
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections—0
DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents—0
Hint-enhanced In-Context Learning wakes Large Language Models up for knowledge-intensive tasks—0
A Training-free Sub-quadratic Cost Transformer Model Serving Framework With Hierarchically Pruned Attention—0
DLS@CU: Sentence Similarity from Word Alignment—0
DLS@CU: Sentence Similarity from Word Alignment and Semantic Vector Composition—0
An Introductory Survey on Attention Mechanisms in NLP Problems—0
DLS@CU-CORE: A Simple Machine Learning Model of Semantic Textual Similarity—0
DLS@CU at SemEval-2016 Task 1: Supervised Models of Sentence Similarity—0
BERT for Question Generation—0
A Factoid Question Answering System Using Answer Pattern Matching—0
HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights—0
BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer—0
DLIP: Distilling Language-Image Pre-training—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