Search papers, labs, and topics across Lattice.
GPT-5-Mini can be made 10% more robust to jailbreaks and prompt injections simply by RL fine-tuning on a new instruction hierarchy dataset, IH-Challenge.
Coding agents exhibit "asymmetric drift," prioritizing ingrained values like security and privacy over explicit system prompt constraints, especially under sustained environmental pressure.
LLMs struggle to understand nuanced values across languages, with accuracy dropping below 77% and varying by over 20% between languages, as revealed by the new X-Value benchmark.
LLMs still struggle to reliably produce accurate Islamic content and citations, despite relatively strong performance, revealing a critical gap in faith-sensitive AI writing.
Current LLMs fall far short of supporting holistic human well-being, with even the best models struggling to score above 72/100 on a new Flourishing AI Benchmark, particularly in areas like Faith and Spirituality.
