SynLearner lets LLMs improve synthetic data generation on later tasks in a stream by learning reusable patterns and balancing quality with diversity from feedback on earlier tasks.
arXiv preprint arXiv:2603.26017 , year =
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
years
2026 4verdicts
UNVERDICTED 4representative citing papers
ConsisGuard is a consistency-aware framework that applies Policy-to-Decision Trajectory Distillation and Functional Coupling Alignment to improve policy execution consistency in reasoning-based LLM guardrails on harmfulness detection tasks.
Falcon-X introduces a latent prototype space with Unified Prototype Diff-Attention and Latent Entity Attention for heterogeneous multivariate time series forecasting.
ZooClaw-FashionSigLIP2 applies distilled full fine-tuning plus WiseFT interpolation to SigLIP2-base and reports outperforming LoRA, larger backbones, and external data on fashion retrieval benchmarks while releasing a new benchmark and bias analysis.
citing papers explorer
-
ConsisGuard: Aligning Safety Deliberation with Policy Enforcement in LLM Guardrails
ConsisGuard is a consistency-aware framework that applies Policy-to-Decision Trajectory Distillation and Functional Coupling Alignment to improve policy execution consistency in reasoning-based LLM guardrails on harmfulness detection tasks.