Author

Kushagra Bhushan

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#artificial intelligence Preprint Sep 2026

DKL: Decoupled Knowledge Learning for Instruction-Tuned Language Models

RAG has become the de facto method for incorporating new, corpus-specific knowledge into an instruction following LLM (Instruct LLM). Although RAG-based prompting improves factual grounding, it fails when retrieval is incorrect or incomplete, leading to hallucinations. Finetuning methods such as RAFT and PA-RAG enhance...

Kushagra Bhushan, Meghanadh Pulivarthi, Sai Krishna Reddy Sathi et al. · 1 citation

#artificial intelligence Preprint Aug 2026

KItCAT: Knowledge Injection via Input Corruption for Auto-regressive Training

This work introduces KItCAT: Knowledge Injection via Corrupted Auto-regressive Training, a lightweight training strategy that reduces the need for paraphrasing in decoder-only LLMs and shows that KItCAT consistently improves over CPT across multiple datasets and model families.

Meghanadh Pulivarthi, Kushagra Bhushan, Vineet Kumar et al. · 0 citations