dberenstein1957

We released new findings from our Phare LLM Benchmark on bias in leading language models. Instead of traditional "fill-in-the-blank" tests, we had 17 leading LLMs generate thousands of stories, then asked them to judge…

We've just published a benchmark and accompanying paper on arXiv that challenges conventional leaderboard-driven LLM evaluation. Phare focuses on factual reliability, prompt sensitivity, multilingual support, and how…