DSpace@MIT

Post-training adaptations such as supervised fine-tuning, quantization, and reinforcement learning can cause large language models (LLMs) with identical architectures to exhibit divergent behaviors. However, the mechanisms ...

Current AI-assisted ideation systems, often based on linear chat interfaces, struggle to help users effectively manage the complexity of creative exploration, hindering both divergent thinking across multiple paths and the ...