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 6976–7000 of 10817 papers

TitleStatusHype
Hashing based Answer Selection—0
Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models—0
NSURL-2019 Shared Task 8: Semantic Question Similarity in Arabic—0
AutoKG: Constructing Virtual Knowledge Graphs from Unstructured Documents for Question Answering—0
Dodo: Dynamic Contextual Compression for Decoder-only LMs—0
NUIG-UNLP at SemEval-2016 Task 13: A Simple Word Embedding-based Approach for Taxonomy Extraction—0
Evaluating Span Extraction in Generative Paradigm: A Reflection on Aspect-Based Sentiment Analysis—0
Harvest Video Foundation Models via Efficient Post-Pretraining—0
Harvesting Parallel News Streams to Generate Paraphrases of Event Relations—0
NumLLM: Numeric-Sensitive Large Language Model for Chinese Finance—0
Evaluating Text Segmentation using Boundary Edit Distance—0
Constructing a Japanese Basic Named Entity Corpus of Various Genres—0
A Survey for Large Language Models in Biomedicine—0
Open-domain Factoid Question Answering via Knowledge Graph Search—0
HARPY: Hypernyms and Alignment of Relational Paraphrases—0
A Survey Forest Diagram : Gain a Divergent Insight View on a Specific Research Topic—0
A Multi-Domain Framework for Textual Similarity. A Case Study on Question-to-Question and Question-Answering Similarity Tasks—0
Constraint-based Multi-hop Question Answering with Knowledge Graph—0
Adding Context to Semantic Data-Driven Paraphrasing—0
oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes—0
Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering—0
TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums—0
Harnessing Multilingual Resources to Question Answering in Arabic—0
Object-Centric Diagnosis of Visual Reasoning—0
Constraint Based Description of Polish Multiword Expressions—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