Subhabrata Mukherjee
2 papers · Latest:
Machine Learning
Crafting Reversible SFT Behaviors in Large Language Models
This paper introduces LCDD to create sparse, controllable "carriers" for SFT behaviors in LLMs, enabling their selective reversal with SFT-Eraser.
2605.06632
Natural Language ProcessingOrca: Progressive Learning from Complex Explanation Traces of GPT-4
Orca is a 13B parameter model that improves small model reasoning by progressively learning from GPT-4's complex explanation traces and step-by-step thought processes, achieving state-of-the-art zero-shot performance on challenging benchmarks.
2306.02707
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