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 6301–6325 of 10817 papers

TitleStatusHype
Lean Question Answering over Freebase from Scratch—0
LeanContext: Cost-Efficient Domain-Specific Question Answering Using LLMs—0
Mind the Gap! Static and Interactive Evaluations of Large Audio Models—0
DIEM: Decomposition-Integration Enhancing Multimodal Insights—0
BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind—0
An Evaluation of Image-Based Verb Prediction Models against Human Eye-Tracking Data—0
Adversarial Representation Learning for Text-to-Image Matching—0
A Comprehensive Comparative Study of Word and Sentence Similarity Measures—0
3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models—0
LEAF-QA: Locate, Encode & Attend for Figure Question Answering—0
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models—0
Mining Compatible/Incompatible Entities from Question and Answering via Yes/No Answer Classification using Distant Label Expansion—0
LCV2: An Efficient Pretraining-Free Framework for Grounded Visual Question Answering—0
Mining Duplicate Questions of Stack Overflow—0
Mining Fine-grained Opinion Expressions with Shallow Parsing—0
Mining Implicit Relevance Feedback from User Behavior for Web Question Answering—0
Mining Information from Event Structure Relation Graph for Event Argument Extraction—0
Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering—0
Mining Japanese Compound Words and Their Pronunciations from Web Pages and Tweets—0
Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing—0
LCQMC:A Large-scale Chinese Question Matching Corpus—0
Mining Paraphrasal Typed Templates from a Plain Text Corpus—0
LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System—0
Mining Shape of Expertise: A Novel Approach Based on Convolutional Neural Network—0
DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew—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