Summary of Two Heads Are Better Than One: Averaging Along Fine-tuning to Improve Targeted Transferability, by Hui Zeng et al.
Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferabilityby Hui Zeng,…
Summary of Hindillm: Large Language Model For Hindi, by Sanjay Chouhan et al.
HindiLLM: Large Language Model for Hindiby Sanjay Chouhan, Shubha Brata Nath, Aparajita DuttaFirst submitted to…
Summary of Natural Language Fine-tuning, by Jia Liu et al.
Natural Language Fine-Tuningby Jia Liu, Yue Wang, Zhiqi Lin, Min Chen, Yixue Hao, Long HuFirst…
Summary of Latent Drifting in Diffusion Models For Counterfactual Medical Image Synthesis, by Yousef Yeganeh et al.
Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesisby Yousef Yeganeh, Ioannis Charisiadis, Marta…
Summary of Boosting Private Domain Understanding Of Efficient Mllms: a Tuning-free, Adaptive, Universal Prompt Optimization Framework, by Jiang Liu et al.
Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Frameworkby Jiang…
Summary of Velora: a Low-rank Adaptation Approach For Efficient Rgb-event Based Recognition, by Lan Chen et al.
VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognitionby Lan Chen, Haoxiang Yang, Pengpeng…
Summary of Is Your Text-to-image Model Robust to Caption Noise?, by Weichen Yu et al.
Is Your Text-to-Image Model Robust to Caption Noise?by Weichen Yu, Ziyan Yang, Shanchuan Lin, Qi…
Summary of Silc-efsa: Self-aware In-context Learning Correction For Entity-level Financial Sentiment Analysis, by Senbin Zhu et al.
SILC-EFSA: Self-aware In-context Learning Correction for Entity-level Financial Sentiment Analysisby Senbin Zhu, Chenyuan He, Hongde…
Summary of Multilingual Mathematical Reasoning: Advancing Open-source Llms in Hindi and English, by Avinash Anand et al.
Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and Englishby Avinash Anand, Kritarth Prasad, Chhavi…
Summary of Boosting Llm Via Learning From Data Iteratively and Selectively, by Qi Jia et al.
Boosting LLM via Learning from Data Iteratively and Selectivelyby Qi Jia, Siyu Ren, Ziheng Qin,…