Summary of Ee-tuning: An Economical Yet Scalable Solution For Tuning Early-exit Large Language Models, by Xuchen Pan et al.
EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Modelsby Xuchen Pan, Yanxi…
Summary of X-peft: Extremely Parameter-efficient Fine-tuning For Extreme Multi-profile Scenarios, by Namju Kwak and Taesup Kim
X-PEFT: eXtremely Parameter-Efficient Fine-Tuning for Extreme Multi-Profile Scenariosby Namju Kwak, Taesup KimFirst submitted to arxiv…
Summary of Hift: a Hierarchical Full Parameter Fine-tuning Strategy, by Yongkang Liu et al.
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategyby Yongkang Liu, Yiqun Zhang, Qian Li, Tong Liu,…
Summary of True Knowledge Comes From Practice: Aligning Llms with Embodied Environments Via Reinforcement Learning, by Weihao Tan et al.
True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learningby Weihao Tan,…
Summary of Assessing the Portability Of Parameter Matrices Trained by Parameter-efficient Finetuning Methods, By Mohammed Sabry and Anya Belz
Assessing the Portability of Parameter Matrices Trained by Parameter-Efficient Finetuning Methodsby Mohammed Sabry, Anya BelzFirst…
Summary of Cross-task Affinity Learning For Multitask Dense Scene Predictions, by Dimitrios Sinodinos et al.
Cross-Task Affinity Learning for Multitask Dense Scene Predictionsby Dimitrios Sinodinos, Narges ArmanfardFirst submitted to arxiv…
Summary of Density Adaptive Attention Is All You Need: Robust Parameter-efficient Fine-tuning Across Multiple Modalities, by Georgios Ioannides et al.
Density Adaptive Attention is All You Need: Robust Parameter-Efficient Fine-Tuning Across Multiple Modalitiesby Georgios Ioannides,…
Summary of Orchmoe: Efficient Multi-adapter Learning with Task-skill Synergy, by Haowen Wang et al.
OrchMoE: Efficient Multi-Adapter Learning with Task-Skill Synergyby Haowen Wang, Tao Sun, Kaixiang Ji, Jian Wang,…
Summary of Efficient Adapter Finetuning For Tail Languages in Streaming Multilingual Asr, by Junwen Bai et al.
Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASRby Junwen Bai, Bo Li, Qiujia…
Summary of Scaling Laws For Forgetting When Fine-tuning Large Language Models, by Damjan Kalajdzievski
Scaling Laws for Forgetting When Fine-Tuning Large Language Modelsby Damjan KalajdzievskiFirst submitted to arxiv on:…