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Muhammad Adil Asif

2 accepted papers

2025

Teaching LLMs How to Learn with Contextual Fine-Tuning

ICLR 2025poster

Prompting Large Language Models (LLMs), or providing context on the expected model of operation, is an effective way to steer the outputs of such models to satisfy human desiderata after they have been trained. But in rapidly evolving domains, there is often need to fine-tune LLMs to improve either…

Cited by 0SourcePDFScholar
2023

Geometry Matching for Multi-Embodiment Grasping

CoRL 2023poster

While significant progress has been made on the problem of generating grasps, many existing learning-based approaches still concentrate on a single embodiment, provide limited generalization to higher DoF end-effectors and cannot capture a diverse set of grasp modes. In this paper, we tackle the pro…

Cited by 9SourcecodeScholar