most citedSelective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2025

Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG

Kushagra Bhushan, Yatin Nandwani, Dinesh Khandelwal +4

Retrieval-Augmented Generation (RAG) has emerged as a prominent method for incorporating domain knowledge into Large Language Models (LLMs). While RAG enhances response relevance b…

cs.CL2025★ 3 cited

Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models

Sonam Gupta, Yatin Nandwani, Asaf Yehudai +3

Fine-tuning Large Language Models (LLMs) on specific datasets is a common practice to improve performance on target tasks. However, this performance gain often leads to overfitting…