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 4176–4200 of 10817 papers

TitleStatusHype
How Generative-AI can be Effectively used in Government Chatbots—0
BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP—0
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation—0
3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model—0
How good are deep models in understanding the generated images?—0
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering—0
Bengali Question Classification: Towards Developing QA System—0
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer—0
Diversifying Question Generation over Knowledge Base via External Natural Questions—0
An Interactive System for Exploring Community Question Answering Forums—0
A Fact Checking and Verification System for FEVEROUS Using a Zero-Shot Learning Approach—0
How good are Large Language Models on African Languages?—0
Diversifying Knowledge Enhancement of Biomedical Language Models using Adapter Modules and Knowledge Graphs—0
Diversifying Joint Vision-Language Tokenization Learning—0
Bend but Don't Break? Multi-Challenge Stress Test for QA Models—0
Benchmarks for Pirá 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change—0
Diverse Multi-Answer Retrieval with Determinantal Point Processes—0
An Intelligent Question Answering System based on Power Knowledge Graph—0
A Comprehensive Survey of Knowledge-Based Vision Question Answering Systems: The Lifecycle of Knowledge in Visual Reasoning Task—0
Diverse and Non-redundant Answer Set Extraction on Community QA based on DPPs—0
Benchmarking Vision Language Models for Cultural Understanding—0
Ditch the Gold Standard: Re-evaluating Conversational Question Answering—0
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
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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