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Found 6 papers, 5 papers with code
Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable
While safety alignment has been extensively studied for LLM, there is still a large research gap for Large Reasoning Models (LRMs) that equip with improved reasoning capability.
Multi-Agent Reinforcement Learning with Focal Diversity Optimization
First, we develop an agent-fusion framework for encouraging multiple LLM based agents to collaborate in producing the final inference output for each LLM query.
Rapid Automated Mapping of Clouds on Titan With Instance Segmentation
Despite widespread adoption of deep learning models to address a variety of computer vision tasks, planetary science has yet to see extensive utilization of such tools to address its unique problems.
$H^3$Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs
The former penalizes the selection errors of the expert-router, and the latter mediates the expert weights drifting during fine-tuning and dynamically adjusts the fusion behavior of the resulting model by canalizing the activations on the experts.
A Survey on Large Language Model-Based Game Agents
The development of game agents holds a critical role in advancing towards Artificial General Intelligence.
Feature Extraction and Classification from Planetary Science Datasets enabled by Machine Learning
In a different application, we applied the Mask R-CNN to recognize clouds on Titan, again through updated training followed by testing against new data, with a precision of 95% over 369 images.
