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 1676–1700 of 10817 papers

TitleStatusHype
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
MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models—0
LoRE: Logit-Ranked Retriever Ensemble for Enhancing Open-Domain Question Answering—0
Enhanced Electronic Health Records Text Summarization Using Large Language Models—0
Quebec Automobile Insurance Question-Answering With Retrieval-Augmented GenerationCode0
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language ModelsCode0
Declarative Knowledge Distillation from Large Language Models for Visual Question Answering DatasetsCode0
Multi-granularity Contrastive Cross-modal Collaborative Generation for End-to-End Long-term Video Question AnsweringCode1
Zero-shot Commonsense Reasoning over Machine ImaginationCode0
Skipping Computations in Multimodal LLMsCode1
Prompting Video-Language Foundation Models with Domain-specific Fine-grained Heuristics for Video Question Answering—0
Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration—0
Generation with Dynamic VocabularyCode0
Retriever-and-Memory: Towards Adaptive Note-Enhanced Retrieval-Augmented GenerationCode2
SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language ModelsCode1
Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language BootstrappingCode1
Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision—0
Measuring the Groundedness of Legal Question-Answering Systems—0
ViT3D Alignment of LLaMA3: 3D Medical Image Report Generation—0
MedMobile: A mobile-sized language model with expert-level clinical capabilitiesCode0
Accurate and Regret-aware Numerical Problem Solver for Tabular Question AnsweringCode0
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt TuningCode0
StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language ModelsCode1
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation—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