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 3226–3250 of 10817 papers

TitleStatusHype
Factuality or Fiction? Benchmarking Modern LLMs on Ambiguous QA with Citations—0
Cross-Lingual Text-Rich Visual Comprehension: An Information Theory PerspectiveCode0
Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy—0
FriendsQA: A New Large-Scale Deep Video Understanding Dataset with Fine-grained Topic Categorization for Story VideosCode0
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail KnowledgeCode0
Prompting Large Language Models with Rationale Heuristics for Knowledge-based Visual Question Answering—0
Application of Multimodal Large Language Models in Autonomous Driving—0
Speech Retrieval-Augmented Generation without Automatic Speech Recognition—0
DragonVerseQA: Open-Domain Long-Form Context-Aware Question-AnsweringCode0
Automated CVE Analysis: Harnessing Machine Learning In Designing Question-Answering Models For Cybersecurity Information Extraction—0
SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object LocalizationCode0
STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling—0
MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering—0
NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning—0
Contrastive Learning for Task-Independent SpeechLLM-PretrainingCode0
HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases—0
Logical Consistency of Large Language Models in Fact-checking—0
PolySmart @ TRECVid 2024 Medical Video Question Answering—0
FedPIA -- Permuting and Integrating Adapters leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning—0
Query pipeline optimization for cancer patient question answering systems—0
EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues—0
Why We Build Local Large Language Models: An Observational Analysis from 35 Japanese and Multilingual LLMs—0
Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language ModelsCode0
GraphEQA: Using 3D Semantic Scene Graphs for Real-time Embodied Question Answering—0
FiVL: A Framework for Improved Vision-Language AlignmentCode0
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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