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 6826–6850 of 10817 papers

TitleStatusHype
Hierarchical Conditional Relation Networks for Multimodal Video Question Answering—0
Encoding Knowledge Graph Entity Aliases in Attentive Neural Network for Wikidata Entity Linking—0
Object-Centric Diagnosis of Visual Reasoning—0
NECE: Narrative Event Chain Extraction Toolkit—0
NeCo@ALQAC 2023: Legal Domain Knowledge Acquisition for Low-Resource Languages through Data Enrichment—0
Hierarchical Banzhaf Interaction for General Video-Language Representation Learning—0
HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies—0
A Survey of Multimodal Retrieval-Augmented Generation—0
Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models—0
Adding Morpho-semantic Relations to the Romanian Wordnet—0
Neglected Risks: The Disturbing Reality of Children's Images in Datasets and the Urgent Call for Accountability—0
NegVQA: Can Vision Language Models Understand Negation?—0
Can Click Patterns across User's Query Logs Predict Answers to Definition Questions?—0
Object-Centric Representation Learning for Video Question Answering—0
HFST-SweNER --- A New NER Resource for Swedish—0
Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model—0
Neural Abstractive Summarization with Structural Attention—0
Neural Approaches to Conversational AI—0
ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval—0
Neural Architectures for Open-Type Relation Argument Extraction—0
Neural at ArchEHR-QA 2025: Agentic Prompt Optimization for Evidence-Grounded Clinical Question Answering—0
Neural Attention for Learning to Rank Questions in Community Question Answering—0
Neural Attention Models for Sequence Classification: Analysis and Application to Key Term Extraction and Dialogue Act Detection—0
Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning—0
Content Models for Survey Generation: A Factoid-Based Evaluation—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