:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Nayak, Nikhil Shivakumar, Killamsetty, Krishnateja, Han, Ligong, Bhandwaldar, Abhishek, Chanda, Prateek, Xu, Kai, Wang, Hao, Pareja, Aldo, Silkin, Oleg, Eyceoz, Mustafa, Srivastava, Akash
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computation and Language Probability 68T50 I.2.0; G.3
Online Access:	https://arxiv.org/abs/2504.07097
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs
by: Pareja, Aldo, et al.
Published: (2024)

Hopscotch: Discovering and Skipping Redundancies in Language Models
by: Eyceoz, Mustafa, et al.
Published: (2025)

Learning What Matters: Probabilistic Task Selection via Mutual Information for Model Finetuning
by: Chanda, Prateek, et al.
Published: (2025)

DELIFT: Data Efficient Language model Instruction Fine Tuning
by: Agarwal, Ishika, et al.
Published: (2024)

LAB: Large-Scale Alignment for ChatBots
by: Sudalairaj, Shivchander, et al.
Published: (2024)

Agent Factories for High Level Synthesis: How Far Can General-Purpose Coding Agents Go in Hardware Optimization?
by: Bhandwaldar, Abhishek, et al.
Published: (2026)

SCoRe: Submodular Combinatorial Representation Learning
by: Majee, Anay, et al.
Published: (2023)

SQuat: Subspace-orthogonal KV Cache Quantization
by: Wang, Hao, et al.
Published: (2025)

Graph Attention for Heterogeneous Graphs with Positional Encoding
by: Nayak, Nikhil Shivakumar
Published: (2025)

Mathematical Modeling of Option Pricing with an Extended Black-Scholes Framework
by: Nayak, Nikhil Shivakumar
Published: (2025)

Mitigating Premature Exploitation in Particle-based Monte Carlo for Inference-Time Scaling
by: Giannone, Giorgio, et al.
Published: (2025)

S2D2: Fast Decoding for Diffusion LLMs via Training-Free Self-Speculation
by: Han, Ligong, et al.
Published: (2026)

Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models
by: Zhang, Xinxi, et al.
Published: (2024)

SNLP: Layer-Parallel Inference via Structured Newton Corrections
by: Han, Ligong, et al.
Published: (2026)

Zeroth-Order Fine-Tuning of LLMs in Random Subspaces
by: Yu, Ziming, et al.
Published: (2024)

Towards Interpretable Soft Prompts
by: Patel, Oam, et al.
Published: (2025)

Bayesian Coreset Optimization for Personalized Federated Learning
by: Chanda, Prateek, et al.
Published: (2025)

Extractive Schema Linking for Text-to-SQL
by: Glass, Michael, et al.
Published: (2025)

Application and Efficacy of diatom diversity indices for water quality evaluation of Chambal River System
by: Srivastava, Prateek
Published: (2025)

TopoSculpt: Betti-Steered Topological Sculpting of 3D Fine-grained Tubular Shapes
by: Zhang, Minghui, et al.
Published: (2025)

Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches
by: Christophe, Clément, et al.
Published: (2024)

Curiosity-driven Red-teaming for Large Language Models
by: Hong, Zhang-Wei, et al.
Published: (2024)

LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models
by: Sikdar, Prateek Kumar
Published: (2026)

Dr. SoW: Density Ratio of Strong-over-weak LLMs for Reducing the Cost of Human Annotation in Preference Tuning
by: Xu, Guangxuan, et al.
Published: (2024)

Efficient Orthogonal Fine-Tuning with Principal Subspace Adaptation
by: Wu, Fei, et al.
Published: (2025)

ROSA: Random Subspace Adaptation for Efficient Fine-Tuning
by: Hameed, Marawan Gamal Abdel, et al.
Published: (2024)

Parameter-Efficient Subspace Optimization for LLM Fine-Tuning
by: Lou, Yuchen, et al.
Published: (2025)

Host-Side Telemetry for Performance Diagnosis in Cloud and HPC GPU Infrastructure
by: Darzi, Erfan, et al.
Published: (2025)

Beyond QA Pairs: Assessing Parameter-Efficient Fine-Tuning for Fact Embedding in LLMs
by: Ratnakar, Shivam, et al.
Published: (2025)

Memory-Efficient Backpropagation for Fine-Tuning LLMs on Resource-Constrained Mobile Devices
by: Song, Congzheng, et al.
Published: (2025)

Differentially Private Subspace Fine-Tuning for Large Language Models
by: Zheng, Lele, et al.
Published: (2026)

FairPO: Robust Preference Optimization for Fair Multi-Label Learning
by: Mondal, Soumen Kumar, et al.
Published: (2025)

Ramanujan Graphs and Interlacing Families
by: Srivastava, Nikhil
Published: (2024)

Sculpting priors
by: Theiler, James
Published: (2024)

DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning
by: Shi, Zhengxiang, et al.
Published: (2023)

Exchange kernel $f^h_x(q,ω)$ of electron liquid from the variational principle of McLachlan
by: Nazarov, Vladimir U., et al.
Published: (2024)

InfoSculpt: Sculpting the Latent Space for Generalized Category Discovery
by: Liao, Wenwen, et al.
Published: (2026)

INST-Sculpt: Interactive Stroke-based Neural SDF Sculpting
by: Rubab, Fizza, et al.
Published: (2025)

One-Pass to Reason: Token Duplication and Block-Sparse Mask for Efficient Fine-Tuning on Multi-Turn Reasoning
by: Goru, Ritesh, et al.
Published: (2025)

Gaze2Report: Radiology Report Generation via Visual-Gaze Prompt Tuning of LLMs
by: Konwer, Aishik, et al.
Published: (2026)