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 6451–6475 of 10817 papers

TitleStatusHype
Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking—0
BAS: An Answer Selection Method Using BERT Language Model—0
Large-scale CCG Induction from the Groningen Meaning Bank—0
Modelling Long-distance Node Relations for KBQA with Global Dynamic Graph—0
DiagGPT: An LLM-based and Multi-agent Dialogue System with Automatic Topic Management for Flexible Task-Oriented Dialogue—0
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants—0
Large-Scale Acquisition of Entailment Pattern Pairs by Exploiting Transitivity—0
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models—0
Modern Question Answering Datasets and Benchmarks: A Survey—0
Modular Blended Attention Network for Video Question Answering—0
Large-Scale Acquisition of Commonsense Knowledge via a Quiz Game on a Dialogue System—0
DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue—0
BARTPhoBEiT: Pre-trained Sequence-to-Sequence and Image Transformers Models for Vietnamese Visual Question Answering—0
A Neural Question Answering System for Basic Questions about Subroutines—0
Adversarial Multimodal Network for Movie Question Answering—0
LargePiG: Your Large Language Model is Secretly a Pointer Generator—0
DHP Benchmark: Are LLMs Good NLG Evaluators?—0
DGRAG: Distributed Graph-based Retrieval-Augmented Generation in Edge-Cloud Systems—0
Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights—0
A Neural Question Answering Model Based on Semi-Structured Tables—0
Large language models in healthcare and medical domain: A review—0
Development of Hybrid Algorithm for Automatic Extraction of Multiword Expressions from Monolingual and Parallel Corpus of English and Punjabi—0
Large Language Models for Social Networks: Applications, Challenges, and Solutions—0
Mondrian: Prompt Abstraction Attack Against Large Language Models for Cheaper API Pricing—0
Developing Question-Answering Models in Low-Resource Languages: A Case Study on Turkish Medical Texts Using Transformer-Based Approaches—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