:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Jeong, Hong
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2603.22329
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Trained Persistent Memory for Frozen Encoder--Decoder LLMs: Six Architectural Methods
by: Jeong, Hong
Published: (2026)

DAQ: Density-Aware Post-Training Weight-Only Quantization For LLMs
by: Luo, Yingsong, et al.
Published: (2024)

Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization
by: Carstensen, Timur, et al.
Published: (2025)

Aligning Frozen LLMs by Reinforcement Learning: An Iterative Reweight-then-Optimize Approach
by: Zhang, Xinnan, et al.
Published: (2025)

Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies
by: Zhao, Guangyu, et al.
Published: (2024)

Steering Frozen LLMs: Adaptive Social Alignment via Online Prompt Routing
by: Zhang, Zeyu, et al.
Published: (2026)

A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation
by: Wang, Andrew Z., et al.
Published: (2025)

Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs
by: Sheshadri, Abhay, et al.
Published: (2024)

Beyond Experience Retrieval: Learning to Generate Utility-Optimized Structured Experience for Frozen LLMs
by: Li, Xuancheng, et al.
Published: (2026)

Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions
by: Kariyappa, Sanjay, et al.
Published: (2024)

Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models
by: Torkamandi, Bahman
Published: (2025)

StreamBP: Memory-Efficient Exact Backpropagation for Long Sequence Training of LLMs
by: Luo, Qijun, et al.
Published: (2025)

ReST-RL: Achieving Accurate Code Reasoning of LLMs with Optimized Self-Training and Decoding
by: Zhoubian, Sining, et al.
Published: (2025)

LauraTSE: Target Speaker Extraction using Auto-Regressive Decoder-Only Language Models
by: Tang, Beilong, et al.
Published: (2025)

Indoor Localization using Compact, Telemetry-Agnostic, Transfer-Learning Enabled Decoder-Only Transformer
by: Bhatia, Nayan Sanjay, et al.
Published: (2025)

TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
by: Yang, Lijie, et al.
Published: (2024)

You Only Train Once: Differentiable Subset Selection for Omics Data
by: Chopard, Daphné, et al.
Published: (2025)

Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMs
by: Kim, Jaemin, et al.
Published: (2025)

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers
by: Karami, Hojjat, et al.
Published: (2024)

RL in Name Only? Analyzing the Structural Assumptions in RL post-training for LLMs
by: Samineni, Soumya Rani, et al.
Published: (2025)

Calibration and Transformation-Free Weight-Only LLMs Quantization via Dynamic Grouping
by: Zheng, Xinzhe, et al.
Published: (2025)

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
by: Hubinger, Evan, et al.
Published: (2024)

Topology Only Pre-Training: Towards Generalised Multi-Domain Graph Models
by: Davies, Alex O., et al.
Published: (2023)

SplitFrozen: Split Learning with Device-side Model Frozen for Fine-Tuning LLM on Heterogeneous Resource-Constrained Devices
by: Ma, Jian, et al.
Published: (2025)

DMax: Aggressive Parallel Decoding for dLLMs
by: Chen, Zigeng, et al.
Published: (2026)

Agents Learn Their Runtime: Interpreter Persistence as Training-Time Semantics
by: May, Victor, et al.
Published: (2026)

LNN-PINN: A Unified Physics-Only Training Framework with Liquid Residual Blocks
by: Tao, Ze, et al.
Published: (2025)

Beyond the Answer: Decoding the Behavior of LLMs as Scientific Reasoners
by: Pandey, Rohan, et al.
Published: (2026)

LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs
by: Kim, Taeho, et al.
Published: (2024)

Approximated Likelihood Ratio: A Forward-Only and Parallel Framework for Boosting Neural Network Training
by: Zhang, Zeliang, et al.
Published: (2024)

Zero-Sacrifice Persistent-Robustness Adversarial Defense for Pre-Trained Encoders
by: Lei, Zhuxin, et al.
Published: (2026)

Federated Nested Learning: Collaborative Training of Self-Referential Memories for Test-Time Adaptation
by: Chen, Hong, et al.
Published: (2026)

InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory
by: Xiao, Chaojun, et al.
Published: (2024)

Whispering to a Blackbox: Bootstrapping Frozen OCR with Visual Prompts
by: Samandarov, Samandar, et al.
Published: (2026)

GPU Memory Prediction for Multimodal Model Training
by: Jeong, Jinwoo, et al.
Published: (2025)

Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillation
by: Phan, Phuc, et al.
Published: (2024)

Training Domain Draft Models for Speculative Decoding: Best Practices and Insights
by: Hong, Fenglu, et al.
Published: (2025)

Encoder-Decoder Diffusion Language Models for Efficient Training and Inference
by: Arriola, Marianne, et al.
Published: (2025)

Continuous Approximations for Improving Quantization Aware Training of LLMs
by: Li, He, et al.
Published: (2024)

FlashOptim: Optimizers for Memory-Efficient Training
by: Ortiz, Jose Javier Gonzalez, et al.
Published: (2026)