Author

P. Singh

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#machine learning Preprint Oct 2026

Making LoRA Identifiable: Orthogonal Alignment for Continual Learning

There is growing interest in applying Parameter-Efficient Fine-Tuning (PEFT) to Continual Learning, as it enables faster training, mitigates catastrophic forgetting, and facilitates better adaptation to new tasks. Prior approaches have explored a range of strategies, including extending new LoRA branches for each incom...

P. Singh, Mohammadi Zaki, Akash Saha et al. · 0 citations

Preprint Sep 2026

Document Retrieval-Aware Chunking (D-RAC): Universal Retrieval-Aware Ingestion of Enterprise Documents via PDF Normalization and Multimodal Markdown Conversion

Document Retrieval-Aware Chunking (D-RAC), an extension of the Web Retrieval-Aware Chunking (W-RAC) framework to arbitrary document formats, is presented, preserving W-RAC's cost, determinism, and observability benefits while unlocking every renderable format as a first-class input.

Uday Allu, Abhivanth Sivaprakash, P. Singh et al. · 0 citations