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 8626–8650 of 10817 papers

TitleStatusHype
Fast and Large-scale Unsupervised Relation Extraction—0
Fast Clustering of Short Text Streams Using Efficient Cluster Indexing and Dynamic Similarity Thresholds—0
Fast DistilBERT on CPUs—0
FastHybrid: A Hybrid Model for Efficient Answer Selection—0
Fast Knowledge Graph Completion using Graphics Processing Units—0
Fast Node Embeddings: Learning Ego-Centric Representations—0
Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering—0
Fast Quantum Algorithm for Attention Computation—0
FastRAG: Retrieval Augmented Generation for Semi-structured Data—0
FaVChat: Unlocking Fine-Grained Facail Video Understanding with Multimodal Large Language Models—0
FBK-HLT: An Application of Semantic Textual Similarity for Answer Selection in Community Question Answering—0
FCICU: The Integration between Sense-Based Kernel and Surface-Based Methods to Measure Semantic Textual Similarity—0
FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering—0
Fear the REAPER: A System for Automatic Multi-Document Summarization with Reinforcement Learning—0
Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields—0
Feature-Based Selection of Dependency Paths in Ad Hoc Information Retrieval—0
Feature Engineering in Learning-to-Rank for Community Question Answering Task—0
Feature extraction and evaluation for BioMedical Question Answering—0
Feature Optimization for Constituent Parsing via Neural Networks—0
Feature-Rich Networks for Knowledge Base Completion—0
Feature-Rich Twitter Named Entity Recognition and Classification—0
Feature-Rich Two-Stage Logistic Regression for Monolingual Alignment—0
Feature Selection Using a Semantic Hierarchy for Event Recognition and Type Classification—0
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality—0
Federated Retrieval Augmented Generation for Multi-Product Question Answering—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