Author

Mukul Ranjan

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#natural language process... Preprint Oct 2026

Noise Out, Bias In: Targeted Bias Injection in Diffusion Language Models via Closed-Loop Activation Steering

Masked diffusion language models (dLLMs) generate text by iteratively denoising masked positions, re-predicting each token multiple times before it is committed. An autoregressive decoder exposes an answer's distribution once, at the step that commits it; a dLLM exposes it at every denoising step before commitment, and...

Sarim Hashmi, Mukul Ranjan, Abdelrahman W. A. Elsayed et al. · 0 citations

#natural language process... Preprint Sep 2026

Flash-dLLM: IO-Aware KV Caching and Parallel Decoding for Fast, Memory-Efficient Diffusion LLMs

Flash-dLLM is introduced, a training-free inference acceleration framework for fast and memory-efficient dLLMs that proposes an efficient KV-cache-driven draft-and-verify decoding strategy, where the dLLM itself serves as both drafter and verifier without requiring an auxiliary model.

Quan Nguyen-Tri, Mukul Ranjan, Zhi-Qiang Shen · 0 citations