When Experts Disagree, Let UNIPELT Decide Post date August 12, 2025 Post author By Model Tuning Post categories In adapter-tuning, gating-mechanisms, glue-benchmark, language-model-tuning, low-rank-adaptation, parameter-efficient-tuning, prefix-tuning, unipelt-framework
Experimental Evaluation of UNIPELT: Robust Gains Over Fine-Tuning and Individual PELT Methods Post date August 12, 2025 Post author By Model Tuning Post categories In adapter-tuning, gating-mechanisms, glue-benchmark, language-model-tuning, low-rank-adaptation, parameter-efficient-tuning, prefix-tuning, unipelt-framework
The Tuning Trifecta: UNIPELT’s Gated Symphony of BitFit, Adapter, and Prefix-Tuning Post date August 12, 2025 Post author By Model Tuning Post categories In adapter-tuning, gating-mechanisms, glue-benchmark, language-model-tuning, low-rank-adaptation, parameter-efficient-tuning, prefix-tuning, unipelt-framework
Combining PELT Methods with Gating: How UNIPELT Delivers Robust LM Tuning Across Tasks Post date August 12, 2025 Post author By Model Tuning Post categories In adapter-tuning, gating-mechanisms, glue-benchmark, language-model-tuning, low-rank-adaptation, parameter-efficient-tuning, prefix-tuning, unipelt-framework
AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort: Experiments Post date July 17, 2024 Post author By UserStory Post categories In autostory, computing-methodologies, diffusion-models, generative-models, low-rank-adaptation, machine-learning, neural-networks, story-visualization
AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort: Our Method Post date July 17, 2024 Post author By UserStory Post categories In autostory, computing-methodologies, diffusion-models, generative-models, low-rank-adaptation, machine-learning, neural-networks, story-visualization
AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort: Related Work Post date July 17, 2024 Post author By UserStory Post categories In autostory, computing-methodologies, diffusion-models, generative-models, low-rank-adaptation, machine-learning, neural-networks, story-visualization
AutoStory: Generating Diverse Storytelling Images with Minimal Effort: Conclusion and References Post date July 17, 2024 Post author By UserStory Post categories In autostory, computing-methodologies, diffusion-models, generative-models, low-rank-adaptation, machine-learning, neural-networks, story-visualization
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