Summary of Improved Few-shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses, by Xiaosen Zheng et al.
Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defensesby Xiaosen Zheng, Tianyu Pang,…
Summary of Magr: Weight Magnitude Reduction For Enhancing Post-training Quantization, by Aozhong Zhang et al.
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantizationby Aozhong Zhang, Naigang Wang, Yanxia Deng, Xin…
Summary of Evaluating Mathematical Reasoning Of Large Language Models: a Focus on Error Identification and Correction, by Xiaoyuan Li et al.
Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correctionby Xiaoyuan…
Summary of How Random Is Random? Evaluating the Randomness and Humaness Of Llms’ Coin Flips, by Katherine Van Koevering et al.
How Random is Random? Evaluating the Randomness and Humaness of LLMs’ Coin Flipsby Katherine Van…
Summary of Outliers and Calibration Sets Have Diminishing Effect on Quantization Of Modern Llms, by Davide Paglieri et al.
Outliers and Calibration Sets have Diminishing Effect on Quantization of Modern LLMsby Davide Paglieri, Saurabh…
Summary of Effective Interplay Between Sparsity and Quantization: From Theory to Practice, by Simla Burcu Harma et al.
Effective Interplay between Sparsity and Quantization: From Theory to Practiceby Simla Burcu Harma, Ayan Chakraborty,…
Summary of Improving Generalization and Convergence by Enhancing Implicit Regularization, By Mingze Wang et al.
Improving Generalization and Convergence by Enhancing Implicit Regularizationby Mingze Wang, Jinbo Wang, Haotian He, Zilin…
Summary of The Point Of View Of a Sentiment: Towards Clinician Bias Detection in Psychiatric Notes, by Alissa A. Valentine et al.
The Point of View of a Sentiment: Towards Clinician Bias Detection in Psychiatric Notesby Alissa…
Summary of Specdec++: Boosting Speculative Decoding Via Adaptive Candidate Lengths, by Kaixuan Huang et al.
SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengthsby Kaixuan Huang, Xudong Guo, Mengdi WangFirst submitted…
Summary of Map-neo: Highly Capable and Transparent Bilingual Large Language Model Series, by Ge Zhang et al.
MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Seriesby Ge Zhang, Scott Qu, Jiaheng…