Mitigating Resolution-Drift in Federated Learning: Case of Keypoint Detection
arXiv:2507.23461v1 Announce Type: cross Abstract: The Federated Learning (FL) approach enables effective learning across distributed systems, while preserving user data…
Hierarchical Memory for High-Efficiency Long-Term Reasoning in LLM Agents
arXiv:2507.22925v1 Announce Type: cross Abstract: Long-term memory is one of the key factors influencing the reasoning capabilities of Large Language…
Can one size fit all?: Measuring Failure in Multi-Document Summarization Domain Transfer
arXiv:2503.15768v2 Announce Type: replace-cross Abstract: Abstractive multi-document summarization (MDS) is the task of automatically summarizing information in multiple documents, from…
Role-Aware Language Models for Secure and Contextualized Access Control in Organizations
arXiv:2507.23465v1 Announce Type: cross Abstract: As large language models (LLMs) are increasingly deployed in enterprise settings, controlling model behavior based…
Fast and Accurate Contextual Knowledge Extraction Using Cascading Language Model Chains and Candidate Answers
arXiv:2507.22921v1 Announce Type: cross Abstract: Language models can capture complex relationships in given text, but these are notorious for being…