Reinforcement learning (RL) faces challenges due to sample inefficiency, hindering real-world adoption. Standard RL methods struggle, ...

Large language models (LLMs) excel in language comprehension and reasoning tasks but lack spatial reasoning exploration, a vital aspect of ...

The evaluation of jailbreaking attacks on LLMs presents challenges like lacking standard evaluation practices, incomparable cost and success ...

Recent advancements in large language models (LLMs) and Multimodal Foundation Models (MMFMs) have spurred interest in large multimodal models ...

Linear attention-based models are gaining attention for their faster processing speed and comparable performance to Softmax transformers. ...

Human designers’ creative ideation for concept generation has been aided by intuitive or structured ideation methods such as brainstorming, ...