Summary of Zero-shot Pupil Segmentation with Sam 2: a Case Study Of Over 14 Million Images, by Virmarie Maquiling et al.
Zero-Shot Pupil Segmentation with SAM 2: A Case Study of Over 14 Million Imagesby Virmarie…
Summary of P-folio: Evaluating and Improving Logical Reasoning with Abundant Human-written Reasoning Chains, by Simeng Han et al.
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chainsby Simeng Han, Aaron Yu,…
Summary of Baichuan-omni Technical Report, by Yadong Li et al.
Baichuan-Omni Technical Reportby Yadong Li, Haoze Sun, Mingan Lin, Tianpeng Li, Guosheng Dong, Tao Zhang,…
Summary of Latteclip: Unsupervised Clip Fine-tuning Via Lmm-synthetic Texts, by Anh-quan Cao et al.
LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Textsby Anh-Quan Cao, Maximilian Jaritz, Matthieu Guillaumin, Raoul de…
Summary of Agentbank: Towards Generalized Llm Agents Via Fine-tuning on 50000+ Interaction Trajectories, by Yifan Song et al.
AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectoriesby Yifan Song, Weimin Xiong,…
Summary of Optima: Optimizing Effectiveness and Efficiency For Llm-based Multi-agent System, by Weize Chen et al.
Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent Systemby Weize Chen, Jiarui Yuan, Chen Qian,…
Summary of Positive-augmented Contrastive Learning For Vision-and-language Evaluation and Training, by Sara Sarto et al.
Positive-Augmented Contrastive Learning for Vision-and-Language Evaluation and Trainingby Sara Sarto, Nicholas Moratelli, Marcella Cornia, Lorenzo…
Summary of Sparsegrad: a Selective Method For Efficient Fine-tuning Of Mlp Layers, by Viktoriia Chekalina et al.
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layersby Viktoriia Chekalina, Anna Rudenko, Gleb…
Summary of Exploring Efficient Foundational Multi-modal Models For Video Summarization, by Karan Samel et al.
Exploring Efficient Foundational Multi-modal Models for Video Summarizationby Karan Samel, Apoorva Beedu, Nitish Sontakke, Irfan…
Summary of Onenet: a Fine-tuning Free Framework For Few-shot Entity Linking Via Large Language Model Prompting, by Xukai Liu et al.
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Promptingby Xukai…