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 5976–6000 of 10817 papers

TitleStatusHype
Low-Resource Clickbait Spoiling for Indonesian via Question Answering—0
A System for Building FrameNet-like Corpus for the Biomedical Domain—0
Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser—0
HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation—0
Low-Resource Semantic Role Labeling—0
Hyper-dimensional computing for a visual question-answering system that is trainable end-to-end—0
DSNDM: Deep Siamese Neural Discourse Model with Attention for Text Pairs Categorization and Ranking—0
LRRA:A Transparent Neural-Symbolic Reasoning Framework for Real-World Visual Question Answering—0
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications—0
Controlling Risk of Web Question Answering—0
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI—0
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning—0
Can You Explain That? Lucid Explanations Help Human-AI Collaborative Image Retrieval—0
MedXChat: A Unified Multimodal Large Language Model Framework towards CXRs Understanding and Generation—0
MF2-MVQA: A Multi-stage Feature Fusion method for Medical Visual Question Answering—0
Mitigating Knowledge Conflicts in Language Model-Driven Question Answering—0
Lumos : Empowering Multimodal LLMs with Scene Text Recognition—0
Modality Alignment between Deep Representations for Effective Video-and-Language Learning—0
A Novel Approach Towards Incorporating Context Processing Capabilities in NLIDB System—0
Hyperbolic Attention Networks—0
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications—0
Controlled Natural Languages and Default Reasoning—0
Dual Capsule Attention Mask Network with Mutual Learning for Visual Question Answering—0
Hybrid-SQuAD: Hybrid Scholarly Question Answering Dataset—0
Hybrid Question Answering over Knowledge Base and Free Text—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