Author

Joydeep Ghosh

2 papers indexed here

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#artificial intelligence May 2026

Goal-Conditioned Supervised Learning for LLM Fine-Tuning

This paper proposes goal-conditioned supervised learning (GCSL) as an offline fine-tuning framework for LLMs and proposes natural-language goal representations to further connect these patterns to the LLM's pretrained knowledge and generalization capabilities.

Shi-Jun Li, Kaiwen Dong, Xiang Gao et al. · arXiv.org · 0 citations

#artificial intelligence May 2026

RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation

RRCM is proposed, a ranking-driven retrieval-and-reasoning framework over collaborative and metadata memories for LLM-based agentic recommendation that significantly outperforms traditional baselines and diverse LLM-based recommendation approaches.

Shi-Jun Li, Pranav Belligundu, Tian-Xin Wei et al. · arXiv.org · 2 citations