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 4201–4250 of 10817 papers

TitleStatusHype
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection—0
An Initial Investigation of Non-Native Spoken Question-Answering—0
Aesthetic Visual Question Answering of Photographs—0
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment—0
Distributional Hypernym Generation by Jointly Learning Clusters and Projections—0
Is your benchmark truly adversarial? AdvScore: Evaluating Human-Grounded Adversarialness—0
Distributed Deep Learning for Question Answering—0
Benchmarking Table Comprehension In The Wild—0
A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis—0
Distraction-free Embeddings for Robust VQA—0
Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness—0
Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering—0
Distill-SynthKG: Distilling Knowledge Graph Synthesis Workflow for Improved Coverage and Efficiency—0
An Inference Approach To Question Answering Over Knowledge Graphs—0
Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving—0
Distilling Salient Reviews with Zero Labels—0
Distilling an End-to-End Voice Assistant Without Instruction Training Data—0
Benchmarking Poisoning Attacks against Retrieval-Augmented Generation—0
An In-Context Schema Understanding Method for Knowledge Base Question Answering—0
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications—0
Distantly Supervised Transformers For E-Commerce Product QA—0
Comparison of Open-Source and Proprietary LLMs for Machine Reading Comprehension: A Practical Analysis for Industrial Applications—0
An Improved Traditional Chinese Evaluation Suite for Foundation Model—0
Human Mobility Question Answering (Vision Paper)—0
HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases—0
HySTER: A Hybrid Spatio-Temporal Event Reasoner—0
Identifying the Provision of Choices in Privacy Policy Text—0
Improved Neural Relation Detection for Knowledge Base Question Answering—0
DISLOG: A logic-based language for processing discourse structures—0
ADVISE: Symbolism and External Knowledge for Decoding Advertisements—0
Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables—0
Disentangling Online Chats with DAG-Structured LSTMs—0
Explainable High-order Visual Question Reasoning: A New Benchmark and Knowledge-routed Network—0
Disentangling Knowledge-based and Visual Reasoning by Question Decomposition in KB-VQA—0
HRVQA: A Visual Question Answering Benchmark for High-Resolution Aerial Images—0
Huge Automatically Extracted Training-Sets for Multilingual Word SenseDisambiguation—0
Disease Identification From Unstructured User Input—0
Benchmarking Large Multimodal Models for Ophthalmic Visual Question Answering with OphthalWeChat—0
HPI Question Answering System in BioASQ 2016—0
Discriminating between Similar Languages with Word-level Convolutional Neural Networks—0
Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations—0
HRCA+: Advanced Multiple-choice Machine Reading Comprehension Method—0
DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding—0
A Systematic Evaluation of GPT-4V's Multimodal Capability for Medical Image Analysis—0
Discrete Cosine Transform as Universal Sentence Encoder—0
Benchmarking Large Language Models in Complex Question Answering Attribution using Knowledge Graphs—0
An Exploration of Data Augmentation and RNN Architectures for Question Ranking in Community Question Answering—0
How You Ask Matters: The Effect of Paraphrastic Questions to BERT Performance on a Clinical SQuAD Dataset—0
HRoT: Hybrid prompt strategy and Retrieval of Thought for Table-Text Hybrid Question Answering—0
Human Adversarial QA: Did the Model Understand the Paragraph?—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