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 2976–3000 of 10817 papers

TitleStatusHype
RetinaQA: A Robust Knowledge Base Question Answering Model for both Answerable and Unanswerable QuestionsCode0
Lost in Overlap: Exploring Logit-based Watermark Collision in LLMs—0
Knowledge Condensation and Reasoning for Knowledge-based VQA—0
Parameter Efficient Reinforcement Learning from Human Feedback—0
Few-Shot Image Classification and Segmentation as Visual Question Answering Using Vision-Language Models—0
Team Trifecta at Factify5WQA: Setting the Standard in Fact Verification with Fine-TuningCode0
Can a GPT4-Powered AI Agent Be a Good Enough Performance Attribution Analyst?—0
Helpful or Harmful? Exploring the Efficacy of Large Language Models for Online Grooming Prevention—0
RAGGED: Towards Informed Design of Retrieval Augmented Generation SystemsCode2
Retrieval augmented text-to-SQL generation for epidemiological question answering using electronic health recordsCode1
Can We Talk Models Into Seeing the World Differently?Code1
ChartInstruct: Instruction Tuning for Chart Comprehension and ReasoningCode1
ProSwitch: Knowledge-Guided Instruction Tuning to Switch Between Professional and Non-Professional Responses—0
Adversarial Training with OCR Modality Perturbation for Scene-Text Visual Question AnsweringCode0
Quiet-STaR: Language Models Can Teach Themselves to Think Before SpeakingCode4
Transformers Get Stable: An End-to-End Signal Propagation Theory for Language ModelsCode1
VisionGPT: Vision-Language Understanding Agent Using Generalized Multimodal Framework—0
TINA: Think, Interaction, and Action Framework for Zero-Shot Vision Language Navigation—0
MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular ComprehensionCode0
DAM: Dynamic Adapter Merging for Continual Video QA LearningCode1
A novel interface for adversarial trivia question-writing—0
Fine-tuning Large Language Models with Sequential Instructions—0
Mitigating the Impact of Attribute Editing on Face Recognition—0
Rethinking Generative Large Language Model Evaluation for Semantic Comprehension—0
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM—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