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 7351–7400 of 10817 papers

TitleStatusHype
Precise Model Benchmarking with Only a Few Observations—0
GRS-QA -- Graph Reasoning-Structured Question Answering Dataset—0
Growing Multi-Domain Glossaries from a Few Seeds using Probabilistic Topic Models—0
PEFT-MedAware: Large Language Model for Medical Awareness—0
Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation—0
Penalizing Confident Predictions on Largely Perturbed Inputs Does Not Improve Out-of-Distribution Generalization in Question Answering—0
Grover's Algorithm for Question Answering—0
ConceptEdit: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning—0
A Study of Hybrid Similarity Measures for Semantic Relation Extraction—0
Group Non-negative Matrix Factorization with Natural Categories for Question Retrieval in Community Question Answer Archives—0
Grounding Task Assistance with Multimodal Cues from a Single Demonstration—0
Grounding Semantic Roles in Images—0
ComRAG: Retrieval-Augmented Generation with Dynamic Vector Stores for Real-time Community Question Answering in Industry—0
Perception Test 2024: Challenge Summary and a Novel Hour-Long VideoQA Benchmark—0
A Study of Heterogeneous Similarity Measures for Semantic Relation Extraction—0
AmQA: Amharic Question Answering Dataset—0
Grounding LLM Reasoning with Knowledge Graphs—0
Grounding Large Language Models In Embodied Environment With Imperfect World Models—0
Performance Comparison of Large Language Models on VNHSGE English Dataset: OpenAI ChatGPT, Microsoft Bing Chat, and Google Bard—0
Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks—0
Grounding Complex Navigational Instructions Using Scene Graphs—0
Exploring Temporal Vagueness with Mechanical Turk—0
Perhaps PTLMs Should Go to School -- A Task to Assess Open Book and Closed Book QA—0
Perhaps PTLMs Should Go to School – A Task to Assess Open Book and Closed Book QA—0
ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters—0
PerkwE_COQA: Enhanced Persian Conversational Question Answering by combining contextual keyword extraction with Large Language Models—0
A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints—0
Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports—0
PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering—0
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language—0
Permutation Invariant Strategy Using Transformer Encoders for Table Understanding—0
PersianLLaMA: Towards Building First Persian Large Language Model—0
PersianRAG: A Retrieval-Augmented Generation System for Persian Language—0
Persian Semantic Role Labeling Using Transfer Learning and BERT-Based Models—0
Personal Intelligence System UniLM: Hybrid On-Device Small Language Model and Server-Based Large Language Model for Malay Nusantara—0
Grounding Answers for Visual Questions Asked by Visually Impaired People—0
Computing Word Classes Using Spectral Clustering—0
Exploring the Feasibility of ChatGPT for Event Extraction—0
Perspective Transition of Large Language Models for Solving Subjective Tasks—0
Perturbation-based Active Learning for Question Answering—0
Exploring the Ideal Depth of Neural Network when Predicting Question Deletion on Community Question Answering—0
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation—0
PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts using Transfer Learning—0
Phase Conductor on Multi-layered Attentions for Machine Comprehension—0
Philosophers are Mortal: Inferring the Truth of Unseen Facts—0
PhotoshopQuiA: A Corpus of Non-Factoid Questions and Answers for Why-Question Answering—0
Phrase2VecGLM: Neural generalized language model--based semantic tagging for complex query reformulation in medical IR—0
Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking—0
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs—0
Computing Semantic Text Similarity Using Rich Features—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