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…
Summary of Deniahl: In-context Features Influence Llm Needle-in-a-haystack Abilities, by Hui Dai et al.
DENIAHL: In-Context Features Influence LLM Needle-In-A-Haystack Abilitiesby Hui Dai, Dan Pechi, Xinyi Yang, Garvit Banga,…