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Informativeness

Papers

Showing 701725 of 735 papers

TitleStatusHype
Truth Knows No Language: Evaluating Truthfulness Beyond EnglishCode0
Laplace Sample Information: Data Informativeness Through a Bayesian LensCode0
Skeleton-to-Response: Dialogue Generation Guided by Retrieval MemoryCode0
TYPIC: A Corpus of Template-Based Diagnostic Comments on ArgumentationCode0
CuRe: Cultural Gaps in the Long Tail of Text-to-Image SystemsCode0
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in RecommendationCode0
A Variance Maximization Criterion for Active LearningCode0
PELMS: Pre-training for Effective Low-Shot Multi-Document SummarizationCode0
APPLS: Evaluating Evaluation Metrics for Plain Language SummarizationCode0
Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language ModelsCode0
SQUINKY! A Corpus of Sentence-level Formality, Informativeness, and ImplicatureCode0
The Trifecta: Three simple techniques for training deeper Forward-Forward networksCode0
cTBLS: Augmenting Large Language Models with Conversational TablesCode0
Learning to Abstract for Memory-augmented Conversational Response GenerationCode0
Learning to Ask Informative Questions: Enhancing LLMs with Preference Optimization and Expected Information GainCode0
PInKS: Preconditioned Commonsense Inference with Minimal SupervisionCode0
CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster InformaticsCode0
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular MaximizationCode0
Pool-Based Sequential Active Learning for RegressionCode0
Adaptive Region Selection for Active Learning in Whole Slide Image Semantic SegmentationCode0
Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal DiscoveryCode0
Unsupervised Disentanglement with Tensor Product Representations on the TorusCode0
Power-Law Decay Loss for Large Language Model Finetuning: Focusing on Information Sparsity to Enhance Generation QualityCode0
Token-level Correlation-guided Compression for Efficient Multimodal Document UnderstandingCode0
Pragmatically Informative Text GenerationCode0
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