EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detectionby Zihang Qiu, Chaojie…
Is Multiple Object Tracking a Matter of Specialization?by Gianluca Mancusi, Mattia Bernardi, Aniello Panariello, Angelo…
Dual Low-Rank Adaptation for Continual Learning with Pre-Trained Modelsby Huancheng Chen, Jingtao Li, Nidham Gazagnadou,…
ResiDual Transformer Alignment with Spectral Decompositionby Lorenzo Basile, Valentino Maiorca, Luca Bortolussi, Emanuele Rodolà, Francesco…
Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Modelsby Donghoon Kim, Gusang…
Meta-Learning Adaptable Foundation Modelsby Jacob L. Block, Sundararajan Srinivasan, Liam Collins, Aryan Mokhtari, Sanjay ShakkottaiFirst…
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformersby Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui…
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Modelsby Zheng Zhao,…
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologiesby Luping Wang, Sheng Chen, Linnan Jiang,…
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classificationby Xiaoyu Tao, Tingyue…