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Informativeness

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Showing 1–25 of 735 papers

TitleStatusHype
Multi-Agent Retrieval-Augmented Framework for Evidence-Based Counterspeech Against Health Misinformation—0
LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Movie Recommendation—0
Dynamic Bandwidth Allocation for Hybrid Event-RGB Transmission—0
Multi-Preference Lambda-weighted Listwise DPO for Dynamic Preference AlignmentCode0
Image Reconstruction as a Tool for Feature Analysis—0
CuRe: Cultural Gaps in the Long Tail of Text-to-Image SystemsCode0
Assumption-free stability for ranking problems—0
Investigating the Impact of Word Informativeness on Speech Emotion Recognition—0
Understanding while Exploring: Semantics-driven Active Mapping—0
ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase GenerationCode0
Limits of Disclosure in Search Markets—0
Directed Homophily-Aware Graph Neural Network—0
OASIS: Online Sample Selection for Continual Visual Instruction Tuning—0
Task-Oriented Low-Label Semantic Communication With Self-Supervised Learning—0
CIDRe: A Reference-Free Multi-Aspect Criterion for Code Comment Quality Measurement—0
Power-Law Decay Loss for Large Language Model Finetuning: Focusing on Information Sparsity to Enhance Generation QualityCode0
ICYM2I: The illusion of multimodal informativeness under missingnessCode1
Laplace Sample Information: Data Informativeness Through a Bayesian LensCode0
A Qualitative Investigation into LLM-Generated Multilingual Code Comments and Automatic Evaluation Metrics—0
AdAEM: An Adaptively and Automated Extensible Measurement of LLMs' Value Difference—0
MID-L: Matrix-Interpolated Dropout Layer with Layer-wise Neuron Selection—0
MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning—0
Are LLM-generated plain language summaries truly understandable? A large-scale crowdsourced evaluation—0
Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?Code0
Emotion-Gradient Metacognitive RSI (Part I): Theoretical Foundations and Single-Agent Architecture—0
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