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 2651–2675 of 10817 papers

TitleStatusHype
CAPTION: Correction by Analyses, POS-Tagging and Interpretation of Objects using only Nouns—0
CAPO: Reinforcing Consistent Reasoning in Medical Decision-Making—0
A Question Answering Approach to Emotion Cause Extraction—0
EDUQA: Educational Domain Question Answering System using Conceptual Network Mapping—0
Capabilities of Gemini Models in Medicine—0
Can You Unpack That? Learning to Rewrite Questions-in-Context—0
A Question Answering Approach for Emotion Cause Extraction—0
Can you even tell left from right? Presenting a new challenge for VQA—0
Can MLLMs Generalize to Multi-Party dialog? Exploring Multilingual Response Generation in Complex Scenarios—0
Active Reasoning in an Open-World Environment—0
Effective Crowd Annotation for Relation Extraction—0
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering—0
Efficient and Interpretable Neural Models for Entity Tracking—0
Can We Infer Confidential Properties of Training Data from LLMs?—0
A Quantitative Evaluation of Natural Language Question Interpretation for Question Answering Systems—0
Active Reading Comprehension: A Dataset for Learning the Question-Answer Relationship Strategy—0
Can We Generate Visual Programs Without Prompting LLMs?—0
Can We Create a Tool for General Domain Event Analysis?—0
Edit me: A Corpus and a Framework for Understanding Natural Language Image Editing—0
Can Visual Language Models Replace OCR-Based Visual Question Answering Pipelines in Production? A Case Study in Retail—0
AI-KU: Using Co-Occurrence Modeling for Semantic Similarity—0
Can Vision-Language Models Answer Face to Face Questions in the Real-World?—0
Abductive Matching in Question Answering—0
Can Transformers Reason About Effects of Actions?—0
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought—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