Summary of Vptq: Extreme Low-bit Vector Post-training Quantization For Large Language Models, by Yifei Liu et al.
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Modelsby Yifei Liu, Jicheng Wen, Yang…
Summary of Llama-sciq: An Educational Chatbot For Answering Science Mcq, by Marc-antoine Allard et al.
LLaMa-SciQ: An Educational Chatbot for Answering Science MCQby Marc-Antoine Allard, Matin Ansaripour, Maria Yuffa, Paul…
Summary of Axcel: Automated Explainable Consistency Evaluation Using Llms, by P Aditya Sreekar et al.
AXCEL: Automated eXplainable Consistency Evaluation using LLMsby P Aditya Sreekar, Sahil Verma, Suransh Chopra, Sarik…
Summary of Dynamic-width Speculative Beam Decoding For Efficient Llm Inference, by Zongyue Qin et al.
Dynamic-Width Speculative Beam Decoding for Efficient LLM Inferenceby Zongyue Qin, Zifan He, Neha Prakriya, Jason…
Summary of Leveraging Unsupervised Learning For Cost-effective Visual Anomaly Detection, by Yunbo Long et al.
Leveraging Unsupervised Learning for Cost-Effective Visual Anomaly Detectionby Yunbo Long, Zhengyang Ling, Sam Brook, Duncan…
Summary of Parse Trees Guided Llm Prompt Compression, by Wenhao Mao et al.
Parse Trees Guided LLM Prompt Compressionby Wenhao Mao, Chengbin Hou, Tianyu Zhang, Xinyu Lin, Ke…
Summary of From Text to Treatment Effects: a Meta-learning Approach to Handling Text-based Confounding, by Henri Arno et al.
From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confoundingby Henri Arno, Paloma…
Summary of Facet: Fast and Accurate Event-based Eye Tracking Using Ellipse Modeling For Extended Reality, by Junyuan Ding et al.
FACET: Fast and Accurate Event-Based Eye Tracking Using Ellipse Modeling for Extended Realityby Junyuan Ding,…
Summary of Benchmarking Edge Ai Platforms For High-performance Ml Inference, by Rakshith Jayanth et al.
Benchmarking Edge AI Platforms for High-Performance ML Inferenceby Rakshith Jayanth, Neelesh Gupta, Viktor PrasannaFirst submitted…
Summary of A-vl: Adaptive Attention For Large Vision-language Models, by Junyang Zhang et al.
A-VL: Adaptive Attention for Large Vision-Language Modelsby Junyang Zhang, Mu Yuan, Ruiguang Zhong, Puhan Luo,…