Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems Paper • 2504.01990 • Published 5 days ago • 114
Beyond RAG: Task-Aware KV Cache Compression for Comprehensive Knowledge Reasoning Paper • 2503.04973 • Published 30 days ago • 21
Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders Paper • 2503.03601 • Published Mar 5 • 226
"Principal Components" Enable A New Language of Images Paper • 2503.08685 • Published 25 days ago • 11
Fine-Tuning Small Language Models for Domain-Specific AI: An Edge AI Perspective Paper • 2503.01933 • Published Mar 3 • 11
You Do Not Fully Utilize Transformer's Representation Capacity Paper • 2502.09245 • Published Feb 13 • 34
Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models Paper • 2502.13533 • Published Feb 19 • 11
Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data Paper • 2502.14044 • Published Feb 19 • 8
From RAG to Memory: Non-Parametric Continual Learning for Large Language Models Paper • 2502.14802 • Published Feb 20 • 13
Discovering highly efficient low-weight quantum error-correcting codes with reinforcement learning Paper • 2502.14372 • Published Feb 20 • 36
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM? Paper • 2502.14502 • Published Feb 20 • 88
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning Paper • 2502.15425 • Published Feb 21 • 9
Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation Paper • 2502.16707 • Published Feb 23 • 13
Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents Paper • 2502.16069 • Published Feb 22 • 19