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 4951–4975 of 10817 papers

TitleStatusHype
How Generative-AI can be Effectively used in Government Chatbots—0
E-ViLM: Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer—0
The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation—0
Fully Authentic Visual Question Answering Dataset from Online CommunitiesCode0
Characterizing Video Question Answering with Sparsified Inputs—0
Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges—0
Releasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following models—0
A Comparative and Experimental Study on Automatic Question Answering Systems and its Robustness against Word Jumbling—0
Optimizing and Fine-tuning Large Language Model for Urban Renewal—0
Local Convergence of Approximate Newton Method for Two Layer Nonlinear Regression—0
Uncertainty-aware Language Modeling for Selective Question Answering—0
See and Think: Embodied Agent in Virtual Environment—0
Walking a Tightrope -- Evaluating Large Language Models in High-Risk Domains—0
GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation—0
Question Answering in Natural Language: the Special Case of Temporal Expressions—0
Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models—0
Drilling Down into the Discourse Structure with LLMs for Long Document Question Answering—0
AlignedCoT: Prompting Large Language Models via Native-Speaking DemonstrationsCode0
Vamos: Versatile Action Models for Video UnderstandingCode0
AcademicGPT: Empowering Academic Research—0
Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation?—0
ATLANTIC: Structure-Aware Retrieval-Augmented Language Model for Interdisciplinary Science—0
Filling the Image Information Gap for VQA: Prompting Large Language Models to Proactively Ask QuestionsCode0
Towards Robust Text Retrieval with Progressive LearningCode0
Unifying Corroborative and Contributive Attributions in Large Language Models—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