Summary of Endowing Pre-trained Graph Models with Provable Fairness, by Zhongjian Zhang et al.
Endowing Pre-trained Graph Models with Provable Fairnessby Zhongjian Zhang, Mengmei Zhang, Yue Yu, Cheng Yang,…
Summary of Loretta: Low-rank Economic Tensor-train Adaptation For Ultra-low-parameter Fine-tuning Of Large Language Models, by Yifan Yang et al.
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Modelsby Yifan Yang, Jiajun…
Summary of Speculative Streaming: Fast Llm Inference Without Auxiliary Models, by Nikhil Bhendawade et al.
Speculative Streaming: Fast LLM Inference without Auxiliary Modelsby Nikhil Bhendawade, Irina Belousova, Qichen Fu, Henry…
Summary of Tunetables: Context Optimization For Scalable Prior-data Fitted Networks, by Benjamin Feuer et al.
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networksby Benjamin Feuer, Robin Tibor Schirrmeister, Valeriia Cherepanova,…
Summary of Empowering Federated Learning For Massive Models with Nvidia Flare, by Holger R. Roth et al.
Empowering Federated Learning for Massive Models with NVIDIA FLAREby Holger R. Roth, Ziyue Xu, Yuan-Ting…
Summary of Lora-drop: Efficient Lora Parameter Pruning Based on Output Evaluation, by Hongyun Zhou et al.
LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluationby Hongyun Zhou, Xiangyu Lu, Wang Xu,…
Summary of Learning to Route Among Specialized Experts For Zero-shot Generalization, by Mohammed Muqeeth et al.
Learning to Route Among Specialized Experts for Zero-Shot Generalizationby Mohammed Muqeeth, Haokun Liu, Yufan Liu,…
Summary of A Sober Look at Llms For Material Discovery: Are They Actually Good For Bayesian Optimization Over Molecules?, by Agustinus Kristiadi et al.
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization…
Summary of L4q: Parameter Efficient Quantization-aware Fine-tuning on Large Language Models, by Hyesung Jeon et al.
L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Modelsby Hyesung Jeon, Yulhwa Kim, Jae-joon KimFirst…
Summary of Parameter-efficient Fine-tuning For Pre-trained Vision Models: a Survey, by Yi Xin et al.
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Surveyby Yi Xin, Siqi Luo, Haodi Zhou, Junlong…