Akash Srivastava
- Papers
- 12
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Authored papers
12S2D2: Fast Decoding for Diffusion LLMs via Training-Free Self-Speculation
arXiv 2026
SNLP: Layer-Parallel Inference via Structured Newton Corrections
arXiv 2026
T3D: Few-Step Diffusion Language Models via Trajectory Self-Distillation with Direct Discriminative Optimization
arXiv 2026
Activation-Informed Merging of Large Language Models
arXiv 2025
A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods
arXiv 2025
Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
arXiv 2025
SQuat: Subspace-orthogonal KV Cache Quantization
arXiv 2025
Curiosity-driven Red-teaming for Large Language Models
arXiv 2024
Value Augmented Sampling for Language Model Alignment and Personalization
arXiv 2024
A Probabilistic Framework for Modular Continual Learning
arXiv 2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
arXiv 2023
Equivariant Contrastive Learning
arXiv 2021
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