Summary of Probing the Limitations Of Multimodal Language Models For Chemistry and Materials Research, by Nawaf Alampara et al.
Probing the limitations of multimodal language models for chemistry and materials researchby Nawaf Alampara, Mara…
Summary of Enhancing Llm Reasoning Via Critique Models with Test-time and Training-time Supervision, by Zhiheng Xi et al.
Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervisionby Zhiheng Xi, Dingwen Yang,…
Summary of Mixpe: Quantization and Hardware Co-design For Efficient Llm Inference, by Yu Zhang et al.
MixPE: Quantization and Hardware Co-design for Efficient LLM Inferenceby Yu Zhang, Mingzi Wang, Lancheng Zou,…
Summary of Learn From Foundation Model: Fruit Detection Model Without Manual Annotation, by Yanan Wang and Zhenghao Fei and Ruichen Li and Yibin Ying
Learn from Foundation Model: Fruit Detection Model without Manual Annotationby Yanan Wang, Zhenghao Fei, Ruichen…
Summary of Efedllm: Efficient Llm Inference Based on Federated Learning, by Shengwen Ding and Chenhui Hu
eFedLLM: Efficient LLM Inference Based on Federated Learningby Shengwen Ding, Chenhui HuFirst submitted to arxiv…
Summary of Vicon: a Foundation Model For Multi-physics Fluid Dynamics Via Vision In-context Operator Networks, by Yadi Cao et al.
VICON: A Foundation Model for Multi-Physics Fluid Dynamics via Vision In-Context Operator Networksby Yadi Cao,…
Summary of Soft-transformers For Continual Learning, by Haeyong Kang et al.
Soft-TransFormers for Continual Learningby Haeyong Kang, Chang D. YooFirst submitted to arxiv on: 25 Nov…
Summary of Blendserve: Optimizing Offline Inference For Auto-regressive Large Models with Resource-aware Batching, by Yilong Zhao et al.
BlendServe: Optimizing Offline Inference for Auto-regressive Large Models with Resource-aware Batchingby Yilong Zhao, Shuo Yang,…
Summary of Fedqp: Towards Accurate Federated Learning Using Quadratic Programming Guided Mutation, by Jiawen Weng et al.
FedQP: Towards Accurate Federated Learning using Quadratic Programming Guided Mutationby Jiawen Weng, Zeke Xia, Ran…
Summary of Understanding Machine Learning Paradigms Through the Lens Of Statistical Thermodynamics: a Tutorial, by Star (xinxin) Liu
Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorialby StarFirst submitted to…