Summary of Mg-verilog: Multi-grained Dataset Towards Enhanced Llm-assisted Verilog Generation, by Yongan Zhang et al.
MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generationby Yongan Zhang, Zhongzhi Yu, Yonggan Fu, Cheng…
Summary of A Deep Generative Framework For Joint Households and Individuals Population Synthesis, by Xiao Qian et al.
A Deep Generative Framework for Joint Households and Individuals Population Synthesisby Xiao Qian, Utkarsh Gangwal,…
Summary of Badllama 3: Removing Safety Finetuning From Llama 3 in Minutes, by Dmitrii Volkov
Badllama 3: removing safety finetuning from Llama 3 in minutesby Dmitrii VolkovFirst submitted to arxiv…
Summary of Increasing Model Capacity For Free: a Simple Strategy For Parameter Efficient Fine-tuning, by Haobo Song et al.
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuningby Haobo Song, Hao…
Summary of Cpt: Consistent Proxy Tuning For Black-box Optimization, by Yuanyang He et al.
CPT: Consistent Proxy Tuning for Black-box Optimizationby Yuanyang He, Zitong Huang, Xinxing Xu, Rick Siow…
Summary of Splitlora: a Split Parameter-efficient Fine-tuning Framework For Large Language Models, by Zheng Lin et al.
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Modelsby Zheng Lin, Xuanjie Hu, Yuxin…
Summary of Pocketllm: Enabling On-device Fine-tuning For Personalized Llms, by Dan Peng et al.
PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMsby Dan Peng, Zhihui Fu, Jun WangFirst submitted to…
Summary of Large Language Models Struggle in Token-level Clinical Named Entity Recognition, by Qiuhao Lu et al.
Large Language Models Struggle in Token-Level Clinical Named Entity Recognitionby Qiuhao Lu, Rui Li, Andrew…
Summary of Multi-species Object Detection in Drone Imagery For Population Monitoring Of Endangered Animals, by Sowmya Sankaran
Multi-Species Object Detection in Drone Imagery for Population Monitoring of Endangered Animalsby Sowmya SankaranFirst submitted…
Summary of Ares: Alternating Reinforcement Learning and Supervised Fine-tuning For Enhanced Multi-modal Chain-of-thought Reasoning Through Diverse Ai Feedback, by Ju-seung Byun et al.
ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI…