1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Extending Puzzle for Mixture-of-Experts Reasoning Models with Application to GPT-OSS Acceleration
Akhiad Bercovich, Nir Ailon, Vladimir Anisimov +21
Reasoning-focused LLMs improve answer quality by generating longer reasoning traces, but the additional tokens dramatically increase serving cost, motivating inference optimization…
cs.LG2025
Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training
Mingjie Liu, Shizhe Diao, Jian Hu +19
Recent advancements in reasoning-focused language models such as OpenAI's O1 and DeepSeek-R1 have shown that scaling test-time computation-through chain-of-thought reasoning and it…
cs.CV2024★ 1 cited
RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models
Greg Heinrich, Mike Ranzinger, Hongxu +6
Agglomerative models have recently emerged as a powerful approach to training vision foundation models, leveraging multi-teacher distillation from existing models such as CLIP, DIN…