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 5101–5150 of 10817 papers

TitleStatusHype
Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models—0
Enhancing Question Answering by Injecting Ontological Knowledge through Regularization—0
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks—0
A Numerical Reasoning Question Answering System with Fine-grained Retriever and the Ensemble of Multiple Generators for FinQA—0
A Heuristically Modified FP-Tree for Ontology Learning with Applications in Education—0
Enhancing Q&A with Domain-Specific Fine-Tuning and Iterative Reasoning: A Comparative Study—0
Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG—0
Building the Intent Landscape of Real-World Conversational Corpora with Extractive Question-Answering Transformers—0
Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition—0
Enhancing Pipeline-Based Conversational Agents with Large Language Models—0
Building Safe and Reliable AI systems for Safety Critical Tasks with Vision-Language Processing—0
ANU-CSIRO at MEDIQA 2019: Question Answering Using Deep Contextual Knowledge—0
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models—0
Enhancing Multiple-Choice Question Answering with Causal Knowledge—0
Building Interpretable and Reliable Open Information Retriever for New Domains Overnight—0
Deep Human Answer Understanding for Natural Reverse QA—0
A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts—0
Action Languages and Question Answering—0
ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering—0
A Bayesian Model of Diachronic Meaning Change—0
Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?—0
Enhancing Multimodal LLM for Detailed and Accurate Video Captioning using Multi-Round Preference Optimization—0
Building Extractive Question Answering System to Support Human-AI Health Coaching Model for Sleep Domain—0
Enhancing Multi-Image Question Answering via Submodular Subset Selection—0
Building English-Vietnamese Named Entity Corpus with Aligned Bilingual News Articles—0
Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory—0
Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering—0
Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering—0
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension—0
AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making—0
A guide to the dataset explosion in QA, NLI, and commonsense reasoning—0
Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology—0
Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation—0
Building Discourse Parser for Thirukkural—0
Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals—0
Enhancing LambdaMART Using Oblivious Trees—0
Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser—0
Enhancing Key-Value Memory Neural Networks for Knowledge Based Question Answering—0
Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics—0
Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns—0
Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering—0
Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl—0
Antecedent Selection for Sluicing: Structure and Content—0
A Grounded Well-being Conversational Agent with Multiple Interaction Modes: Preliminary Results—0
Action based Network for Conversation Question Reformulation—0
Enhancing Generalization in Medical Visual Question Answering Tasks via Gradient-Guided Model Perturbation—0
Enhancing Financial Question Answering with a Multi-Agent Reflection Framework—0
Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies—0
Building a Rich Dataset to Empower the Persian Question Answering Systems—0
Answer-Type Prediction for Visual 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