Summary of Quantized Embedding Vectors For Controllable Diffusion Language Models, by Cheng Kang et al.
Quantized Embedding Vectors for Controllable Diffusion Language Modelsby Cheng Kang, Xinye Chen, Yong Hu, Daniel…
Summary of Large Language Models As Zero-shot Dialogue State Tracker Through Function Calling, by Zekun Li et al.
Large Language Models as Zero-shot Dialogue State Tracker through Function Callingby Zekun Li, Zhiyu Zoey…
Summary of Insaaf: Incorporating Safety Through Accuracy and Fairness | Are Llms Ready For the Indian Legal Domain?, by Yogesh Tripathi et al.
InSaAF: Incorporating Safety through Accuracy and Fairness | Are LLMs ready for the Indian Legal…
Summary of Efficiency at Scale: Investigating the Performance Of Diminutive Language Models in Clinical Tasks, by Niall Taylor et al.
Efficiency at Scale: Investigating the Performance of Diminutive Language Models in Clinical Tasksby Niall Taylor,…
Summary of Learning Using a Single Forward Pass, by Aditya Somasundaram et al.
Learning Using a Single Forward Passby Aditya Somasundaram, Pushkal Mishra, Ayon BorthakurFirst submitted to arxiv…
Summary of Chain-of-planned-behaviour Workflow Elicits Few-shot Mobility Generation in Llms, by Chenyang Shao et al.
Chain-of-Planned-Behaviour Workflow Elicits Few-Shot Mobility Generation in LLMsby Chenyang Shao, Fengli Xu, Bingbing Fan, Jingtao…
Summary of Undial: Self-distillation with Adjusted Logits For Robust Unlearning in Large Language Models, by Yijiang River Dong et al.
UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language Modelsby Yijiang River Dong,…
Summary of Llasmol: Advancing Large Language Models For Chemistry with a Large-scale, Comprehensive, High-quality Instruction Tuning Dataset, by Botao Yu et al.
LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Datasetby…
Summary of Self-alignment For Factuality: Mitigating Hallucinations in Llms Via Self-evaluation, by Xiaoying Zhang et al.
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluationby Xiaoying Zhang, Baolin Peng, Ye Tian,…
Summary of Icdpo: Effectively Borrowing Alignment Capability Of Others Via In-context Direct Preference Optimization, by Feifan Song et al.
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimizationby Feifan Song, Yuxuan…