Summary of Gradient-free Generation For Hard-constrained Systems, by Chaoran Cheng et al.
Gradient-Free Generation for Hard-Constrained Systemsby Chaoran Cheng, Boran Han, Danielle C. Maddix, Abdul Fatir Ansari,…
Summary of Efficient Llm Inference Using Dynamic Input Pruning and Cache-aware Masking, by Marco Federici et al.
Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Maskingby Marco Federici, Davide Belli, Mart…
Summary of Harnessing Preference Optimisation in Protein Lms For Hit Maturation in Cell Therapy, by Katarzyna Janocha et al.
Harnessing Preference Optimisation in Protein LMs for Hit Maturation in Cell Therapyby Katarzyna Janocha, Annabel…
Summary of Rilq: Rank-insensitive Lora-based Quantization Error Compensation For Boosting 2-bit Large Language Model Accuracy, by Geonho Lee et al.
RILQ: Rank-Insensitive LoRA-based Quantization Error Compensation for Boosting 2-bit Large Language Model Accuracyby Geonho Lee,…
Summary of Tinyfusion: Diffusion Transformers Learned Shallow, by Gongfan Fang et al.
TinyFusion: Diffusion Transformers Learned Shallowby Gongfan Fang, Kunjun Li, Xinyin Ma, Xinchao WangFirst submitted to…
Summary of Yi-lightning Technical Report, by Alan Wake et al.
Yi-Lightning Technical Reportby Alan Wake, Bei Chen, C.X. Lv, Chao Li, Chengen Huang, Chenglin Cai,…
Summary of Perturb and Recover: Fine-tuning For Effective Backdoor Removal From Clip, by Naman Deep Singh et al.
Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIPby Naman Deep Singh, Francesco Croce,…
Summary of Revisit Non-parametric Two-sample Testing As a Semi-supervised Learning Problem, by Xunye Tian et al.
Revisit Non-parametric Two-sample Testing as a Semi-supervised Learning Problemby Xunye Tian, Liuhua Peng, Zhijian Zhou,…
Summary of Visual Modality Prompt For Adapting Vision-language Object Detectors, by Heitor R. Medeiros et al.
Visual Modality Prompt for Adapting Vision-Language Object Detectorsby Heitor R. Medeiros, Atif Belal, Srikanth Muralidharan,…
Summary of Rose: a Reward-oriented Data Selection Framework For Llm Task-specific Instruction Tuning, by Yang Wu et al.
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuningby Yang Wu, Huayi Zhang,…