Inviting hard questions

Anthropic发起的“邀请难题”活动，旨在鼓励用户与开发者向AI提出极具挑战性的问题，通过深度互动检验模型边界，推动安全性与能力持续进化，共同塑造负责任的人工智能未来。

📅 07-09📎 Anthropic Blog

CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity

While post-training improves the capabilities of large language models (LLMs), it generally lowers their output diversity and creativity, negatively impacting tasks that explicitly require creativity (e.g., story generation) as well as those that require it implicitly, e.g., reinforcement learning (

📅 08-07📎 arXiv AI Papers

CoinRAG: Contextualized Information Nugget KV Cache Reuse for Long-Context RAG

Recent optimization studies on Retrieval-Augmented Generation (RAG) have exploited chunk-level KV cache reuse to avoid processing long retrieved contexts for higher efficiency, while significant information redundancy and noise still remain in the coarse-grained chunks. This paper optimizes the Pare

📅 08-07📎 arXiv AI Papers