Author

Yatin Nandwani

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#artificial intelligence Preprint Oct 2026

RIT-RAG: Navigating Document Corpora with Retrieval-Induced Trees

Retrieval-augmented generation (RAG) grounds language models in external corpora. Agentic RAG enables iterative search, yet exposes the model to isolated chunks without document structure, making it difficult to distinguish relevant evidence from chunks that merely resemble the query. Structure-aware methods such as Pa...

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

#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