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 1201–1225 of 10817 papers

TitleStatusHype
FFA Sora, video generation as fundus fluorescein angiography simulator—0
Multimodal Preference Data Synthetic Alignment with Reward ModelCode0
VidCtx: Context-aware Video Question Answering with Image ModelsCode0
Evaluating LLM Reasoning in the Operations Research Domain with ORQACode2
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail KnowledgeCode0
FriendsQA: A New Large-Scale Deep Video Understanding Dataset with Fine-grained Topic Categorization for Story VideosCode0
Prompting Large Language Models with Rationale Heuristics for Knowledge-based Visual Question Answering—0
Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart UnderstandingCode1
Application of Multimodal Large Language Models in Autonomous Driving—0
SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object LocalizationCode0
Automated CVE Analysis: Harnessing Machine Learning In Designing Question-Answering Models For Cybersecurity Information Extraction—0
DragonVerseQA: Open-Domain Long-Form Context-Aware Question-AnsweringCode0
STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling—0
Speech Retrieval-Augmented Generation without Automatic Speech Recognition—0
HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases—0
PolySmart @ TRECVid 2024 Medical Video Question Answering—0
Logical Consistency of Large Language Models in Fact-checking—0
MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering—0
Contrastive Learning for Task-Independent SpeechLLM-PretrainingCode0
NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning—0
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven OptimizationCode1
Why We Build Local Large Language Models: An Observational Analysis from 35 Japanese and Multilingual LLMs—0
GraphEQA: Using 3D Semantic Scene Graphs for Real-time Embodied Question Answering—0
Query pipeline optimization for cancer patient question answering systems—0
Multimodal Hypothetical Summary for Retrieval-based Multi-image Question AnsweringCode0
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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