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 4951–5000 of 10817 papers

TitleStatusHype
Evaluating the Ebb and Flow: An In-depth Analysis of Question-Answering Trends across Diverse Platforms—0
Evaluating ChatGPT as a Question Answering System: A Comprehensive Analysis and Comparison with Existing Models—0
Bias Evaluation and Mitigation in Retrieval-Augmented Medical Question-Answering Systems—0
Evaluating Attribute Confusion in Fashion Text-to-Image Generation—0
Can Language Representation Models Think in Bets?—0
Applying Universal Schemas for Domain Specific Ontology Expansion—0
Evaluating Architectural Choices for Deep Learning Approaches for Question Answering over Knowledge Bases—0
Evaluating Answer Reranking Strategies in Time-sensitive Question Answering—0
Evaluating and Modeling Attribution for Cross-Lingual Question Answering—0
Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples—0
Can Language Models Enable In-Context Database?—0
AI2D-RST: A multimodal corpus of 1000 primary school science diagrams—0
Evaluating and Combining Name Entity Recognition Systems—0
Evaluating AI for Law: Bridging the Gap with Open-Source Solutions—0
Evaluating a City Exploration Dialogue System with Integrated Question-Answering and Pedestrian Navigation—0
Evaluate Confidence Instead of Perplexity for Zero-shot Commonsense Reasoning—0
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study over Open-ended Question Answering—0
Applying Random Indexing to Structured Data to Find Contextually Similar Words—0
ETS: Discriminative Edit Models for Paraphrase Scoring—0
EthioMT: Parallel Corpus for Low-resource Ethiopian Languages—0
Can GPT Improve the State of Prior Authorization via Guideline Based Automated Question Answering?—0
Applying Multilingual Models to Question Answering (QA)—0
A Hybrid Learning Scheme for Chinese Word Embedding—0
Active Learning Over Multiple Domains in Natural Language Tasks—0
Ethics Sheets for AI Tasks—0
Applying Deep Neural Network to Retrieve Relevant Civil Law Articles—0
Estimating Uncertainty Online Against an Adversary—0
Estimating semantic structure for the VQA answer space—0
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks—0
Can Explanations Be Useful for Calibrating Black Box Models?—0
A Hybrid Dependency Parser for Bangla—0
ESQA: Event Sequences Question Answering—0
Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models?—0
ESG Accountability Made Easy: DocQA at Your Service—0
Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models?—0
A New Quantum CNN Model for Image Classification—0
ER-REASON: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room—0
Can DeepSeek Reason Like a Surgeon? An Empirical Evaluation for Vision-Language Understanding in Robotic-Assisted Surgery—0
ER-RAG: Enhance RAG with ER-Based Unified Modeling of Heterogeneous Data Sources—0
eRock at Qur’an QA 2022: Contemporary Deep Neural Networks for Qur’an based Reading Comprehension Question Answers—0
Can Common VLMs Rival Medical VLMs? Evaluation and Strategic Insights—0
Application of Multimodal Large Language Models in Autonomous Driving—0
A Hybrid Approach using Ontology Similarity and Fuzzy Logic for Semantic Question Answering—0
Active Learning and Multi-label Classification for Ellipsis and Coreference Detection in Conversational Question-Answering—0
ERNIE-UniX2: A Unified Cross-lingual Cross-modal Framework for Understanding and Generation—0
ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval—0
Can Code-Switched Texts Activate a Knowledge Switch in LLMs? A Case Study on English-Korean Code-Switching—0
ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding—0
Can CLIP Count Stars? An Empirical Study on Quantity Bias in CLIP—0
Can Click Patterns across User's Query Logs Predict Answers to Definition Questions?—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