Papers

Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.

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ai Oct 02 Harnessing Domain Specialists in Multimodal Mixture-of-Experts for Efficient Adaptation by Damiano Marsili, Raphi Kang, Aditya Mehta, Pietro Perona, Georgia Gkioxari programming languages Oct 02 Argo-Bench: Evaluating Data Agents on Enterprise-Scale Workflows by Gabriel Tomitsuka, Arman Raayatsanati, Emma Xing, Duke Gand, Joseph J Ma ai Oct 02 Where-OPD: Spatially Guided On-Policy Self-Distillation of MLLMs with Synthetic Scenes by Sophia Sirko-Galouchenko, Monika Wysoczanska, Andrei Bursuc, Nicolas Thome, Spyros Gidaris machine learning Oct 02 Are We Recovering Mechanisms? Objective-Level Recovery Gaps in Mechanistic Interpretability by Chuqin Geng, Li Zhang, Haolin Ye, Mark Zhang, Luke Zhang, Xujie Si ai Oct 02 LLM2Jev: LLMs Are Already Jev-Style Decision Models -- When and How to Fine-Tune Them by Yinheng Li, Justin Wagle ai Oct 02 Homomorphic Advantage Operator: Stabilizing Reinforcement Learning Under Fully Homomorphic Encryption Constraints by Abid Mohamed Nadhir, Ahmad Al Hanbali, Beggas Mounir ai Oct 02 Causal Memory Policy: Making Memory Utility Identifiable by Intervening on Retrieval by Arman Behnam, Binghui Wang machine learning Oct 02 Learn the Directions, Normalize the Gains: Post-Training Normalization for LoRA by Zailong Tian, Yanzhe Chen, Zhuoheng Han, Houfeng Wang, Lizi Liao ai Oct 01 Multimodal Flow: Unified Flow Modeling of Language and Vision in Embedding Spaces by Hongyuan Tao, Xinggang Wang, Lianghui Zhu, Yongkang Li, Yunchao Wei, Bin Feng, Shaoyu Chen, Qian Zhang, Chang Huang, Kai Yu ai Oct 01 Ranking-Aware Prompt Optimization for Multimodal Clinical Diagnosis by Tian Xia, Minghao Liu, Yiqing Liang, Laixi Shi, Jiayun Wang