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

The findings identify the denoising trajectory as a new control channel in dLLMs and call for bias audits that examine the serving stack rather than the frozen model alone.

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