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 3051–3075 of 10817 papers

TitleStatusHype
DynFocus: Dynamic Cooperative Network Empowers LLMs with Video Understanding—0
DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification—0
DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models—0
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data—0
An Overview Of Temporal Commonsense Reasoning and Acquisition—0
Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation—0
Biomedical Document Retrieval for Clinical Decision Support System—0
EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation—0
A Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions—0
Biomedical Question Answering: A Survey of Approaches and Challenges—0
EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues—0
EarthSE: A Benchmark Evaluating Earth Scientific Exploration Capability for Large Language Models—0
Dynamic Relevance Graph Network for Knowledge-Aware Question Answering—0
Biomedical Question Answering via Weighted Neural Network Passage Retrieval—0
Easy Questions First? A Case Study on Curriculum Learning for Question Answering—0
Biomedical/Clinical NLP—0
Dynamic Q&A of Clinical Documents with Large Language Models—0
Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes—0
BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine—0
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering—0
Evaluating the Performance and Robustness of LLMs in Materials Science Q&A and Property Predictions—0
Evaluating the Robustness of Machine Reading Comprehension Models to Low Resource Entity Renaming—0
Evaluating Zero-Shot GPT-4V Performance on 3D Visual Question Answering Benchmarks—0
Dynamic Multistep Reasoning based on Video Scene Graph for Video Question Answering—0
DynamicMind: A Tri-Mode Thinking System for Large Language Models—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