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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4126–4150 of 10817 papers

TitleStatusHype
MovieChat: From Dense Token to Sparse Memory for Long Video UnderstandingCode2
KoBBQ: Korean Bias Benchmark for Question Answering—0
Question Answering with Deep Neural Networks for Semi-Structured Heterogeneous Genealogical Knowledge Graphs—0
Around the GLOBE: Numerical Aggregation Question-Answering on Heterogeneous Genealogical Knowledge Graphs with Deep Neural Networks—0
Synthesizing Event-centric Knowledge Graphs of Daily Activities Using Virtual SpaceCode1
Text Analysis Using Deep Neural Networks in Digital Humanities and Information Science—0
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic ControlCode2
An Overview Of Temporal Commonsense Reasoning and Acquisition—0
Context-VQA: Towards Context-Aware and Purposeful Visual Question AnsweringCode0
Universal Recurrent Event Memories for Streaming Data—0
BARTPhoBEiT: Pre-trained Sequence-to-Sequence and Image Transformers Models for Vietnamese Visual Question Answering—0
Med-Flamingo: a Multimodal Medical Few-shot LearnerCode2
Towards Generalist Biomedical AI—0
LOIS: Looking Out of Instance Semantics for Visual Question Answering—0
Contributions to the Improvement of Question Answering Systems in the Biomedical Domain—0
GPT-3 Models are Few-Shot Financial Reasoners—0
Keyword-Aware Relative Spatio-Temporal Graph Networks for Video Question Answering—0
Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions—0
3D-LLM: Injecting the 3D World into Large Language ModelsCode3
CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models—0
Fast Knowledge Graph Completion using Graphics Processing Units—0
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question AnsweringCode1
Discovering Spatio-Temporal Rationales for Video Question AnsweringCode1
A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks—0
Psy-LLM: Scaling up Global Mental Health Psychological Services with AI-based Large Language Models—0
Show:102550
← PrevPage 166 of 433Next →
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