Summary of A Bayesian Approach to Harnessing the Power Of Llms in Authorship Attribution, by Zhengmian Hu et al.
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attributionby Zhengmian Hu, Tong…
Summary of Eora: Training-free Compensation For Compressed Llm with Eigenspace Low-rank Approximation, by Shih-yang Liu et al.
EoRA: Training-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximationby Shih-Yang Liu, Maksim Khadkevich, Nai…
Summary of Fine-tuned Large Language Models (llms): Improved Prompt Injection Attacks Detection, by Md Abdur Rahman et al.
Fine-tuned Large Language Models (LLMs): Improved Prompt Injection Attacks Detectionby Md Abdur Rahman, Fan Wu,…
Summary of Imagenet-rib Benchmark: Large Pre-training Datasets Don’t Always Guarantee Robustness After Fine-tuning, by Jaedong Hwang et al.
ImageNet-RIB Benchmark: Large Pre-Training Datasets Don’t Always Guarantee Robustness after Fine-Tuningby Jaedong Hwang, Brian Cheung,…
Summary of Fine-grained and Multi-dimensional Metrics For Document-level Machine Translation, by Yirong Sun et al.
Fine-Grained and Multi-Dimensional Metrics for Document-Level Machine Translationby Yirong Sun, Dawei Zhu, Yanjun Chen, Erjia…
Summary of Eeg-driven 3d Object Reconstruction with Style Consistency and Diffusion Prior, by Xin Xiang et al.
EEG-Driven 3D Object Reconstruction with Style Consistency and Diffusion Priorby Xin Xiang, Wenhui Zhou, Guojun…
Summary of Towards Unifying Evaluation Of Counterfactual Explanations: Leveraging Large Language Models For Human-centric Assessments, by Marharyta Domnich et al.
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessmentsby Marharyta Domnich,…
Summary of Beyond Fine-tuning: Effective Strategies For Mitigating Hallucinations in Large Language Models For Data Analytics, by Mikhail Rumiantsau et al.
Beyond Fine-Tuning: Effective Strategies for Mitigating Hallucinations in Large Language Models for Data Analyticsby Mikhail…
Summary of Llm-consensus: Multi-agent Debate For Visual Misinformation Detection, by Kumud Lakara et al.
LLM-Consensus: Multi-Agent Debate for Visual Misinformation Detectionby Kumud Lakara, Georgia Channing, Juil Sock, Christian Rupprecht,…
Summary of Learning From Response Not Preference: a Stackelberg Approach For Llm Detoxification Using Non-parallel Data, by Xinhong Xie et al.
Learning from Response not Preference: A Stackelberg Approach for LLM Detoxification using Non-parallel Databy Xinhong…