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Akash Srivastava

Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning

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Apr 09, 2025
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SQuat: Subspace-orthogonal KV Cache Quantization

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Mar 31, 2025
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A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods

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Feb 04, 2025
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Activation-Informed Merging of Large Language Models

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Feb 04, 2025
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Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs

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Dec 17, 2024
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Fantastic LLMs for Preference Data Annotation and How to (not) Find Them

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Nov 04, 2024
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DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models

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Oct 10, 2024
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LInK: Learning Joint Representations of Design and Performance Spaces through Contrastive Learning for Mechanism Synthesis

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May 31, 2024
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Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models

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May 31, 2024
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Adapting Differentially Private Synthetic Data to Relational Databases

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May 29, 2024
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