2 citations · 3 across the 7 of their papers we have counts for
7 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…
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…
The Rosetta Paradox: Domain-Specific Performance Inversions in Large Language Models
Basab Jha, Ujjwal Puri
While large language models, such as GPT and BERT, have already demonstrated unprecedented skills in everything from natural language processing to domain-specific applications, th…
Guaranteed Trust Region Optimization via Two-Phase KL Penalization
K. R. Zentner, Ujjwal Puri, Zhehui Huang +1
On-policy reinforcement learning (RL) has become a popular framework for solving sequential decision problems due to its computational efficiency and theoretical simplicity. Some o…
A Simple Approach to Continual Learning by Transferring Skill Parameters
K. R. Zentner, Ryan Julian, Ujjwal Puri +2
In order to be effective general purpose machines in real world environments, robots not only will need to adapt their existing manipulation skills to new circumstances, they will…
Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning
K. R. Zentner, Ryan Julian, Ujjwal Puri +2
We explore possible methods for multi-task transfer learning which seek to exploit the shared physical structure of robotics tasks. Specifically, we train policies for a base set o…