1 citations · 1 across the 5 of their papers we have counts for
5 papers
SAGE Celer 2.6 Technical Card
SAGEA Research Team, Basab Jha, Firoj Paudel +8
We introduce SAGE Celer 2.6, the latest in our line of general-purpose Celer models from SAGEA. Celer 2.6 is available in 5B, 10B, and 27B parameter sizes and benefits from extensi…
Surg-R1: A Hierarchical Reasoning Foundation Model for Scalable and Interpretable Surgical Decision Support with Multi-Center Clinical Validation
Jian Jiang, Chenxi Lin, Yiming Gu +24
Surgical scene understanding demands not only accurate predictions but also interpretable reasoning that surgeons can verify against clinical expertise. However, existing surgical…
Reinforcement-aware Knowledge Distillation for LLM Reasoning
Zhaoyang Zhang, Shuli Jiang, Yantao Shen +6
Reinforcement learning (RL) post-training has recently driven major gains in long chain-of-thought reasoning large language models (LLMs), but the high inference cost of such model…
SAGE-32B: Agentic Reasoning via Iterative Distillation
Basab Jha, Firoj Paudel, Ujjwal Puri +6
We demonstrate SAGE-32B, a 32 billion parameter language model that focuses on agentic reasoning and long range planning tasks. Unlike chat models that aim for general conversation…
Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models
Basab Jha, Firoj Paudel, Ujjwal Puri +3
Large Language Models (LLMs) have demonstrated remarkable capabilities at solving complex reasoning tasks with Chain-of-Thought (CoT) prompting, but their decision-making processes…