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 6526–6550 of 10817 papers

TitleStatusHype
mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation—0
Large Language Models as a Tool for Mining Object Knowledge—0
Detours for Navigating Instructional Videos—0
Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods—0
Determining is-a relationships for Textual Entailment—0
Large Language Models are Null-Shot Learners—0
Large Language Models are Complex Table Parsers—0
Determining Event Durations: Models and Error Analysis—0
Detect, Retrieve, Comprehend: A Flexible Framework for Zero-Shot Document-Level Question Answering—0
Large Language Model Programs—0
Large Language Model for Table Processing: A Survey—0
Detection-based Intermediate Supervision for Visual Question Answering—0
BanditRank: Learning to Rank Using Contextual Bandits—0
A Neural Network for Factoid Question Answering over Paragraphs—0
Large Language Model Driven Recommendation—0
Large Language Model Benchmarks in Medical Tasks—0
Large Language Model Agent for Modular Task Execution in Drug Discovery—0
LAPDoc: Layout-Aware Prompting for Documents—0
Detecting Subevent Structure for Event Coreference Resolution—0
Detecting Spammers in Community Question Answering—0
MT Quality Estimation: The CMU System for WMT’13—0
Detecting Semantically Equivalent Questions in Online User Forums—0
Language Portability for Dialogue Systems: Translating a Question-Answering System from English into Tamil—0
Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering—0
Language Models with Rationality—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