SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Jayasuriya, Dinithi, Tayebati, Sina, Ettori, Davide, Krishnan, Ranganath, Trivedi, Amit Ranjan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models
by: Tayebati, Sina, et al.
Published: (2025)
by: Tayebati, Sina, et al.
Published: (2025)
EigenShield: Causal Subspace Filtering via Random Matrix Theory for Adversarially Robust Vision-Language Models
by: Darabi, Nastaran, et al.
Published: (2025)
by: Darabi, Nastaran, et al.
Published: (2025)
TRACER: Trajectory Risk Aggregation for Critical Episodes in Agentic Reasoning
by: Tayebati, Sina, et al.
Published: (2026)
by: Tayebati, Sina, et al.
Published: (2026)
EigenTrack: Spectral Activation Feature Tracking for Hallucination and Out-of-Distribution Detection in LLMs and VLMs
by: Ettori, Davide, et al.
Published: (2025)
by: Ettori, Davide, et al.
Published: (2025)
VLM Judges Can Rank but Cannot Score: Task-Dependent Uncertainty in Multimodal Evaluation
by: Kumar, Divake, et al.
Published: (2026)
by: Kumar, Divake, et al.
Published: (2026)
Learnable Conformal Prediction with Context-Aware Nonconformity Functions for Robotic Planning and Perception
by: Kumar, Divake, et al.
Published: (2025)
by: Kumar, Divake, et al.
Published: (2025)
Enhancing Trust in Large Language Models via Uncertainty-Calibrated Fine-Tuning
by: Krishnan, Ranganath, et al.
Published: (2024)
by: Krishnan, Ranganath, et al.
Published: (2024)
Spectral Geometry for Deep Learning: Compression and Hallucination Detection via Random Matrix Theory
by: Ettori, Davide
Published: (2026)
by: Ettori, Davide
Published: (2026)
Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precision
by: Jayasuriya, Dinithi, et al.
Published: (2024)
by: Jayasuriya, Dinithi, et al.
Published: (2024)
Structure and Redundancy in Large Language Models: A Spectral Study via Random Matrix Theory
by: Ettori, Davide
Published: (2026)
by: Ettori, Davide
Published: (2026)
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception
by: Kumar, Divake, et al.
Published: (2025)
by: Kumar, Divake, et al.
Published: (2025)
ROSA: Random Subspace Adaptation for Efficient Fine-Tuning
by: Hameed, Marawan Gamal Abdel, et al.
Published: (2024)
by: Hameed, Marawan Gamal Abdel, et al.
Published: (2024)
Continuous QA Learning with Structured Prompts
by: Zheng, Yinhe
Published: (2022)
by: Zheng, Yinhe
Published: (2022)
Continuous Approximations for Improving Quantization Aware Training of LLMs
by: Li, He, et al.
Published: (2024)
by: Li, He, et al.
Published: (2024)
Tabular Transfer Learning via Prompting LLMs
by: Nam, Jaehyun, et al.
Published: (2024)
by: Nam, Jaehyun, et al.
Published: (2024)
Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing
by: Tayebati, Sina, et al.
Published: (2024)
by: Tayebati, Sina, et al.
Published: (2024)
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges
by: Trivedi, Amit Ranjan, et al.
Published: (2025)
by: Trivedi, Amit Ranjan, et al.
Published: (2025)
Interpretable Safety Alignment via SAE-Constructed Low-Rank Subspace Adaptation
by: Wang, Dianyun, et al.
Published: (2025)
by: Wang, Dianyun, et al.
Published: (2025)
Teaching LLMs How to Learn with Contextual Fine-Tuning
by: Choi, Younwoo, et al.
Published: (2025)
by: Choi, Younwoo, et al.
Published: (2025)
Calibrated Decomposition of Aleatoric and Epistemic Uncertainty in Deep Features for Inference-Time Adaptation
by: Kumar, Divake, et al.
Published: (2025)
by: Kumar, Divake, et al.
Published: (2025)
CoRA: Optimizing Low-Rank Adaptation with Common Subspace of Large Language Models
by: Xiao, Xiaojun, et al.
Published: (2024)
by: Xiao, Xiaojun, et al.
Published: (2024)
Analytic Subspace Routing: How Recursive Least Squares Works in Continual Learning of Large Language Model
by: Tong, Kai, et al.
Published: (2025)
by: Tong, Kai, et al.
Published: (2025)
Towards Self-Robust LLMs: Intrinsic Prompt Noise Resistance via CoIPO
by: Yang, Xin, et al.
Published: (2026)
by: Yang, Xin, et al.
Published: (2026)
CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning
by: Feng, Yu, et al.
Published: (2024)
by: Feng, Yu, et al.
Published: (2024)
Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning
by: Stutts, Alex Christopher, et al.
Published: (2024)
by: Stutts, Alex Christopher, et al.
Published: (2024)
Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging
by: Zhang, Haobo, et al.
Published: (2025)
by: Zhang, Haobo, et al.
Published: (2025)
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution
by: Zhao, Haiyan, et al.
Published: (2024)
by: Zhao, Haiyan, et al.
Published: (2024)
COLD-Steer: Steering Large Language Models via In-Context One-step Learning Dynamics
by: Sharma, Kartik, et al.
Published: (2026)
by: Sharma, Kartik, et al.
Published: (2026)
Task Facet Learning: A Structured Approach to Prompt Optimization
by: Juneja, Gurusha, et al.
Published: (2024)
by: Juneja, Gurusha, et al.
Published: (2024)
PromptWizard: Task-Aware Prompt Optimization Framework
by: Agarwal, Eshaan, et al.
Published: (2024)
by: Agarwal, Eshaan, et al.
Published: (2024)
Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference
by: Samplawski, Colin, et al.
Published: (2025)
by: Samplawski, Colin, et al.
Published: (2025)
Towards Practical Tool Usage for Continually Learning LLMs
by: Huang, Jerry, et al.
Published: (2024)
by: Huang, Jerry, et al.
Published: (2024)
Robust Checkpoint Selection for Multimodal LLMs via Agentic Evaluation and Stability-Aware Ranking
by: Xu, Qinwu, et al.
Published: (2026)
by: Xu, Qinwu, et al.
Published: (2026)
RMT-KD: Random Matrix Theoretic Causal Knowledge Distillation
by: Ettori, Davide, et al.
Published: (2025)
by: Ettori, Davide, et al.
Published: (2025)
Attention Is All You Need for KV Cache in Diffusion LLMs
by: Nguyen-Tri, Quan, et al.
Published: (2025)
by: Nguyen-Tri, Quan, et al.
Published: (2025)
Preference Learning Algorithms Do Not Learn Preference Rankings
by: Chen, Angelica, et al.
Published: (2024)
by: Chen, Angelica, et al.
Published: (2024)
How Susceptible are LLMs to Influence in Prompts?
by: Anagnostidis, Sotiris, et al.
Published: (2024)
by: Anagnostidis, Sotiris, et al.
Published: (2024)
Understanding In-context Learning of Addition via Activation Subspaces
by: Hu, Xinyan, et al.
Published: (2025)
by: Hu, Xinyan, et al.
Published: (2025)
Decomposing Representation Space into Interpretable Subspaces with Unsupervised Learning
by: Huang, Xinting, et al.
Published: (2025)
by: Huang, Xinting, et al.
Published: (2025)
Time-To-Inconsistency: A Survival Analysis of Large Language Model Robustness to Adversarial Attacks
by: Li, Yubo, et al.
Published: (2025)
by: Li, Yubo, et al.
Published: (2025)
Similar Items
-
Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models
by: Tayebati, Sina, et al.
Published: (2025) -
EigenShield: Causal Subspace Filtering via Random Matrix Theory for Adversarially Robust Vision-Language Models
by: Darabi, Nastaran, et al.
Published: (2025) -
TRACER: Trajectory Risk Aggregation for Critical Episodes in Agentic Reasoning
by: Tayebati, Sina, et al.
Published: (2026) -
EigenTrack: Spectral Activation Feature Tracking for Hallucination and Out-of-Distribution Detection in LLMs and VLMs
by: Ettori, Davide, et al.
Published: (2025) -
VLM Judges Can Rank but Cannot Score: Task-Dependent Uncertainty in Multimodal Evaluation
by: Kumar, Divake, et al.
Published: (2026)