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 4851–4875 of 10817 papers

TitleStatusHype
Keep Learning: Self-supervised Meta-learning for Learning from Inference—0
Inducing Latent Semantic Relations for Structured Distributional Semantics—0
Improving Twitter Named Entity Recognition using Word Representations—0
Inducing Script Structure from Crowdsourced Event Descriptions via Semi-Supervised Clustering—0
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs—0
COVIDRead: A Large-scale Question Answering Dataset on COVID-19—0
Improving the Question Answering Quality using Answer Candidate Filtering based on Natural-Language Features—0
In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering—0
Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs—0
Inference to the Best Explanation in Large Language Models—0
Inferring Binary Relation Schemas for Open Information Extraction—0
An Analysis of Causality between Events and its Relation to Temporal Information—0
AttentionRNN: A Structured Spatial Attention Mechanism—0
KBQA: Learning Question Answering over QA Corpora and Knowledge Bases—0
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering—0
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation—0
Attention Overlap Is Responsible for The Entity Missing Problem in Text-to-image Diffusion Models!—0
Improving Temporal Relation Extraction with Training Instance Augmentation—0
Information Discovery in e-Commerce—0
Information Extraction From Co-Occurring Similar Entities—0
Information Extraction from Documents: Question Answering vs Token Classification in real-world setups—0
Information Extraction over Structured Data: Question Answering with Freebase—0
Information Gathering in Networks via Active Exploration—0
Information Navigation System Based on POMDP that Tracks User Focus—0
Improving TCM Question Answering through Tree-Organized Self-Reflective Retrieval with LLMs—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