Summary of Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts, by Jiahai Feng et al.
Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Factsby Jiahai Feng, Stuart Russell, Jacob…
Summary of Skim: Any-bit Quantization Pushing the Limits Of Post-training Quantization, by Runsheng Bai et al.
SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantizationby Runsheng Bai, Bo Liu, Qiang LiuFirst…
Summary of A Water Efficiency Dataset For African Data Centers, by Noah Shumba et al.
A Water Efficiency Dataset for African Data Centersby Noah Shumba, Opelo Tshekiso, Pengfei Li, Giulia…
Summary of Enhancing Clip Conceptual Embedding Through Knowledge Distillation, by Kuei-chun Kao
Enhancing CLIP Conceptual Embedding through Knowledge Distillationby Kuei-Chun KaoFirst submitted to arxiv on: 4 Dec…
Summary of Fanal — Financial Activity News Alerting Language Modeling Framework, by Urjitkumar Patel et al.
FANAL – Financial Activity News Alerting Language Modeling Frameworkby Urjitkumar Patel, Fang-Chun Yeh, Chinmay Gondhalekar,…
Summary of Evaluating Gender Bias Transfer Between Pre-trained and Prompt-adapted Language Models, by Natalie Mackraz et al.
Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Modelsby Natalie Mackraz, Nivedha Sivakumar, Samira…
Summary of Cegi: Measuring the Trade-off Between Efficiency and Carbon Emissions For Slms and Vlms, by Abhas Kumar et al.
CEGI: Measuring the trade-off between efficiency and carbon emissions for SLMs and VLMsby Abhas Kumar,…
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 Coap: Memory-efficient Training with Correlation-aware Gradient Projection, by Jinqi Xiao et al.
COAP: Memory-Efficient Training with Correlation-Aware Gradient Projectionby Jinqi Xiao, Shen Sang, Tiancheng Zhi, Jing Liu,…
Summary of Critical Tokens Matter: Token-level Contrastive Estimation Enhances Llm’s Reasoning Capability, by Zicheng Lin et al.
Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM’s Reasoning Capabilityby Zicheng Lin, Tian Liang, Jiahao…