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 9851–9900 of 10817 papers

TitleStatusHype
Zero-shot Action Localization via the Confidence of Large Vision-Language Models—0
Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge—0
Zero-Shot Clinical Questionnaire Filling From Human-Machine Interactions—0
Zero-shot cross-lingual open domain question answering—0
Zero-Shot End-To-End Spoken Question Answering In Medical Domain—0
Zero-Shot Estimation of Base Models' Weights in Ensemble of Machine Reading Comprehension Systems for Robust Generalization—0
Zero-shot Event Causality Identification with Question Answering—0
Zero-shot Event Extraction via Transfer Learning: Challenges and Insights—0
Zero-shot Generalization in Dialog State Tracking through Generative Question Answering—0
Zero-Shot Long-Form Video Understanding through Screenplay—0
Zero-Shot Multi-Hop Question Answering via Monte-Carlo Tree Search with Large Language Models—0
Zero-Shot Question Answering over Financial Documents using Large Language Models—0
Zero-shot Relation Classification as Textual Entailment—0
Assessing biomedical knowledge robustness in large language models by query-efficient sampling attacks—0
Zero-shot Task Transfer for Invoice Extraction via Class-aware QA Ensemble—0
Zero-Shot Text Matching for Automated Auditing using Sentence Transformers—0
Zero-Shot Transfer VQA Dataset—0
Zero-Shot Video Question Answering with Procedural Programs—0
Zero-Shot Visual Question Answering—0
Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis—0
mForms : Multimodal Form-Filling with Question Answering—0
ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models—0
Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning—0
Zoomer: Adaptive Image Focus Optimization for Black-box MLLM—0
UAlacant: Using Online Machine Translation for Cross-Lingual Textual Entailment—0
Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning—0
SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark—0
SceneGATE: Scene-Graph based co-Attention networks for TExt visual question answering—0
Scene Graph based Image Retrieval -- A case study on the CLEVR Dataset—0
Scene Graph Generation with Geometric Context—0
Scene Graph Reasoning for Visual Question Answering—0
A Comprehensive Survey of Scene Graphs: Generation and Application—0
Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning—0
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations—0
Scene Understanding Enabled Semantic Communication with Open Channel Coding—0
Schema Aware Semantic Reasoning for Interpreting Natural Language Queries in Enterprise Settings—0
ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering—0
ScholarlyRead: A New Dataset for Scientific Article Reading Comprehension—0
Sci-CoT: Leveraging Large Language Models for Enhanced Knowledge Distillation in Small Models for Scientific QA—0
ScienceExamCER: A High-Density Fine-Grained Science-Domain Corpus for Common Entity Recognition—0
Science Question Answering using Instructional Materials—0
SCIR-QA at SemEval-2017 Task 3: CNN Model Based on Similar and Dissimilar Information between Keywords for Question Similarity—0
SC-ML: Self-supervised Counterfactual Metric Learning for Debiased Visual Question Answering—0
SConU: Selective Conformal Uncertainty in Large Language Models—0
S_Covid: An Engine to Explore COVID-19 Scientific Literature—0
SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes—0
SEAL: Semantic Attention Learning for Long Video Representation—0
SEAM: A Stochastic Benchmark for Multi-Document Tasks—0
Search-based Neural Structured Learning for Sequential Question Answering—0
SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering?—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