CORTEX: Learning to Share and Specialize in Dense Language Models
cs.AI
Submitted: 2026-09-28
Updated: 2026-09-28
Sources
- Training Verifiers to Solve Math Word Problems
- QLoRA: Efficient Finetuning of Quantized LLMs
- The Pile: An 800GB Dataset of Diverse Text for Language Modeling
- Progressive Neural Networks
- Qwen3 Technical Report
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- Agents' Last Exam
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems