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 3601–3625 of 10817 papers

TitleStatusHype
SHAKTI: A 2.5 Billion Parameter Small Language Model Optimized for Edge AI and Low-Resource Environments—0
LargePiG: Your Large Language Model is Secretly a Pointer Generator—0
OMCAT: Omni Context Aware Transformer—0
FLARE: Faithful Logic-Aided Reasoning and Exploration—0
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?Code0
Eliminating the Language Bias for Visual Question Answering with fine-grained Causal Intervention—0
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning ScenariosCode0
BanglaQuAD: A Bengali Open-domain Question Answering Dataset—0
ChartKG: A Knowledge-Graph-Based Representation for Chart Images—0
LoRE: Logit-Ranked Retriever Ensemble for Enhancing Open-Domain Question Answering—0
MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models—0
Surgical-LLaVA: Toward Surgical Scenario Understanding via Large Language and Vision Models—0
A Step Towards Mixture of Grader: Statistical Analysis of Existing Automatic Evaluation Metrics—0
Quebec Automobile Insurance Question-Answering With Retrieval-Augmented GenerationCode0
Prompting Video-Language Foundation Models with Domain-specific Fine-grained Heuristics for Video Question Answering—0
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language ModelsCode0
Enhanced Electronic Health Records Text Summarization Using Large Language Models—0
Zero-shot Commonsense Reasoning over Machine ImaginationCode0
Declarative Knowledge Distillation from Large Language Models for Visual Question Answering DatasetsCode0
MedMobile: A mobile-sized language model with expert-level clinical capabilitiesCode0
Generation with Dynamic VocabularyCode0
Measuring the Groundedness of Legal Question-Answering Systems—0
ViT3D Alignment of LLaMA3: 3D Medical Image Report Generation—0
Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision—0
Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration—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