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 5726–5750 of 10817 papers

TitleStatusHype
Leveraging Chain of Thought towards Empathetic Spoken Dialogue without Corresponding Question-Answering Data—0
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections—0
Let's ViCE! Mimicking Human Cognitive Behavior in Image Generation Evaluation—0
Let's Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM's Math Capability—0
Let Sense Bags Do Talking: Cross Lingual Word Semantic Similarity for English and Hindi—0
DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents—0
Let Me Know What to Ask: Interrogative-Word-Aware Question Generation—0
DLS@CU: Sentence Similarity from Word Alignment—0
DLS@CU: Sentence Similarity from Word Alignment and Semantic Vector Composition—0
Less Is More: Linear Layers on CLIP Features as Powerful VizWiz Model—0
DLS@CU-CORE: A Simple Machine Learning Model of Semantic Textual Similarity—0
DLS@CU at SemEval-2016 Task 1: Supervised Models of Sentence Similarity—0
BERT for Question Generation—0
An Introductory Survey on Attention Mechanisms in NLP Problems—0
Leveraging Logical Rules in Knowledge Editing: A Cherry on the Top—0
A Factoid Question Answering System Using Answer Pattern Matching—0
DLIP: Distilling Language-Image Pre-training—0
BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer—0
LEGO-Puzzles: How Good Are MLLMs at Multi-Step Spatial Reasoning?—0
Leveraging Pre-trained Models for Failure Analysis Triplets Generation—0
Leveraging Retrieval-Augmented Generation for Persian University Knowledge Retrieval—0
Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models—0
LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval—0
DKPro Keyphrases: Flexible and Reusable Keyphrase Extraction Experiments—0
BERT-CoQAC: BERT-based Conversational Question Answering in Context—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