generation quality

Guiding a Diffusion Transformer with the Internal Dynamics of Itself CVPR 2026 Image Diffusion Preview with Consistency Solver CVPR 2026 Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization ACL 2026 Quantifying the Impact of Structured Output Format on Large Language Models through Causal Inference EACL 2026 SelFusion: Self-distillation for Diffusion Language Models ACL 2026 AdaDiff: Adaptive Step Selection for Fast Diffusion Models AAAI 2025 Coreference as an indicator of context scope in multimodal narrative ACL 2025 Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusion ICML 2025 Fast Large Language Model Collaborative Decoding via Speculation ICML 2025 Inverse Bridge Matching Distillation ICML 2025 Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability CVPR 2025 RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler CVPR 2025 VerbalTS: Generating Time Series from Texts ICML 2025 CLLMs: Consistency Large Language Models ICML 2024 Constrained Diffusion with Trust Sampling NeurIPS 2024 Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation EMNLP 2024 On Error Propagation of Diffusion Models ICLR 2024 RAGAs: Automated Evaluation of Retrieval Augmented Generation EACL 2024 WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models ACL 2024 Improving Graph Generation by Restricting Graph Bandwidth ICML 2023 ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning ACML 2023