Papers
Mem2Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience Distillation
Zihao Cheng, Zeming Liu, Yingyu Shan et al.
Mem4D: Decoupling Static and Dynamic Memory for Dynamic Scene Reconstruction
Xudong Cai, Shuo Wang, Peng Wang et al.
Membership Inference Attack Against Large Language Model-Based Recommendation Systems: A New Distillation-Based Paradigm
Cuihong Li, Xiaowen Huang, Chuanhuan Yin et al.
MemBuilder: Reinforcing LLMs for Long-Term Memory Construction via Attributed Dense Rewards
Zhiyu Shen, Ziming Wu, Fuming Lai et al.
MemCoRL: Alternating Co-Optimization of Memory Retrieval and Utilization via Collaborative Reinforcement Learning
Yuewen Liu, Peng Xu, Muxi Diao et al.
MemeBQ:Memory Efficient Binary Quantization of LLMs
Yuanhui Wang, Kunlong Liu, Minnan Pei et al.
MemeTAG: Keyword-Driven Meme Classification through Tag Embedding Reconstruction
Akshit Sharma, Prashant W Patil
MemeWeaver: Inter-Meme Graph Reasoning for Sexism and Misogyny Detection
Paolo Italiani, David Gimeno-Gómez, Luca Ragazzi et al.
Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents
Yuanchen Bei, Tianxin Wei, Xuying Ning et al.
MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents
Yiming Du, Bingbing Wang, Yang He et al.
MEML-GRPO: Heterogeneous Multi-Expert Mutual Learning for RLVR Advancement
Weitao Jia, Jinghui Lu, Haiyang Yu et al.
Mem-MLP: Real-Time 3D Human Motion Generation from Sparse Inputs
Sinan Mutlu, Georgios F. Angelis, Savas Ozkan et al.
Memoire: Learning User Personas from Gallery Tags for Personalized Photo Curation
Praful Mathur, Mohsin Iftekhar, Aman Sharma et al.
MemoPhishAgent: Memory-Augmented Multi-Modal LLM Agent for Phishing URL Detection
Xuan Chen, Hao Liu, Tao Yuan et al.
Memorization, Emergence, and Explaining Reversal Failures: A Controlled Study of Relational Semantics in LLMs
Yihua Zhu, Qianying Liu, Jiaxin Wang et al.
Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection
Minseo Kang, Seunghwan Park, Dongha Kim
MemoryART: Enhancing LLMs via Multi-Memory Models with Adaptive Resonance Theory for Healthcare Agents
Renke Dai, Hebin Hu, Jiahui Zhang et al.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data
FengXian Dong, Zhi Zheng, Xiao Han et al.
Memory-Augmented Representation for Efficient Event-based Visuomotor Policy Learning with Adaptive Perception and Control
Uday Kamal, Saibal Mukhopadhyay
Memory Based Advantage Shaping for LLM-Guided Reinforcement Learning (Student Abstract)
Narjes Nourzad, Carlee Joe-Wong
Memory efficiency and resource-rational encoding in sentence processing
Weijie Xu, Brian Dillon, Richard Futrell
Memory-Efficient Structured Backpropagation for On-Device LLM Fine-Tuning
JuneYoung Park, Yuri Hong, Seongwan Kim et al.
Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning
Sikuan Yan, Xiufeng Yang, Zuchao Huang et al.
MemoVision: A Digital Catalog for Everyday Interactions
Lai Xing Ng, Keith Tien Wei Tang, Jacky Jie Wei Tan