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 4576–4600 of 10817 papers

TitleStatusHype
Can a GPT4-Powered AI Agent Be a Good Enough Performance Attribution Analyst?—0
Parameter Efficient Reinforcement Learning from Human Feedback—0
Knowledge Condensation and Reasoning for Knowledge-based VQA—0
Team Trifecta at Factify5WQA: Setting the Standard in Fact Verification with Fine-TuningCode0
ProSwitch: Knowledge-Guided Instruction Tuning to Switch Between Professional and Non-Professional Responses—0
VisionGPT: Vision-Language Understanding Agent Using Generalized Multimodal Framework—0
Adversarial Training with OCR Modality Perturbation for Scene-Text Visual Question AnsweringCode0
Helpful or Harmful? Exploring the Efficacy of Large Language Models for Online Grooming Prevention—0
MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular ComprehensionCode0
TINA: Think, Interaction, and Action Framework for Zero-Shot Vision Language Navigation—0
Fine-tuning Large Language Models with Sequential Instructions—0
Rethinking Generative Large Language Model Evaluation for Semantic Comprehension—0
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM—0
A novel interface for adversarial trivia question-writing—0
Mitigating the Impact of Attribute Editing on Face Recognition—0
SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation with Casual InferenceCode0
Answering Diverse Questions via Text Attached with Key Audio-Visual CluesCode0
From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification—0
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs—0
ChatASU: Evoking LLM's Reflexion to Truly Understand Aspect Sentiment in Dialogues—0
Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answeringCode0
SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM—0
Effectiveness Assessment of Recent Large Vision-Language Models—0
Advancing Chinese biomedical text mining with community challenges—0
HaluEval-Wild: Evaluating Hallucinations of Language Models in the WildCode0
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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