:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Muttakhiroh, Iing, Fevens, Thomas
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	https://arxiv.org/abs/2508.03571
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing Memory Recall in LLMs with Gauss-Tin: A Hybrid Instructional and Gaussian Replay Approach
by: Muttakhiroh, Iing, et al.
Published: (2025)

InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
by: Wei, Zhepei, et al.
Published: (2024)

Domain Adaptation of Llama3-70B-Instruct through Continual Pre-Training and Model Merging: A Comprehensive Evaluation
by: Siriwardhana, Shamane, et al.
Published: (2024)

MetaRM: Shifted Distributions Alignment via Meta-Learning
by: Dou, Shihan, et al.
Published: (2024)

Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning
by: Kaur, Simran, et al.
Published: (2024)

Continual Learning Under Language Shift
by: Gogoulou, Evangelia, et al.
Published: (2023)

MathChat: Converse to Tackle Challenging Math Problems with LLM Agents
by: Wu, Yiran, et al.
Published: (2023)

Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings
by: Xue, Yihao, et al.
Published: (2023)

Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation
by: Tang, Pingzhi, et al.
Published: (2026)

Training Superior Sparse Autoencoders for Instruct Models
by: Li, Jiaming, et al.
Published: (2025)

Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation
by: Liu, Haochen, et al.
Published: (2024)

Learning to Instruct for Visual Instruction Tuning
by: Zhou, Zhihan, et al.
Published: (2025)

A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder
by: Chen, Kedi, et al.
Published: (2024)

IPCGRL: Language-Instructed Reinforcement Learning for Procedural Level Generation
by: Baek, In-Chang, et al.
Published: (2025)

Enhancing LLM Knowledge Learning through Generalization
by: Zhu, Mingkang, et al.
Published: (2025)

CURaTE: Continual Unlearning in Real Time with Ensured Preservation of LLM Knowledge
by: Bae, Seyun, et al.
Published: (2026)

Continual Knowledge Updating in LLM Systems: Learning Through Multi-Timescale Memory Dynamics
by: Pattichis, Andreas, et al.
Published: (2026)

Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct
by: Zheng, Haoyang, et al.
Published: (2025)

Active Continual Learning: On Balancing Knowledge Retention and Learnability
by: Vu, Thuy-Trang, et al.
Published: (2023)

Personalized Adaptation via In-Context Preference Learning
by: Lau, Allison, et al.
Published: (2024)

Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning
by: Li, Xiaochuan, et al.
Published: (2024)

Tackling Length Inflation Without Trade-offs: Group Relative Reward Rescaling for Reinforcement Learning
by: Li, Zichao, et al.
Published: (2026)

Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding
by: Li, Linyu, et al.
Published: (2025)

LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain
by: Niklaus, Joel, et al.
Published: (2024)

Tackling prediction tasks in relational databases with LLMs
by: Wydmuch, Marek, et al.
Published: (2024)

Reinforcement Learning-based Knowledge Distillation with LLM-as-a-Judge
by: Shen, Yiyang, et al.
Published: (2026)

GONE: Structural Knowledge Unlearning via Neighborhood-Expanded Distribution Shaping
by: Dahal, Chahana, et al.
Published: (2026)

Foundation Model's Embedded Representations May Detect Distribution Shift
by: Vargas, Max, et al.
Published: (2023)

InstructEdit: Instruction-based Knowledge Editing for Large Language Models
by: Zhang, Ningyu, et al.
Published: (2024)

KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation
by: Luo, Xindi, et al.
Published: (2024)

AgentInstruct: Toward Generative Teaching with Agentic Flows
by: Mitra, Arindam, et al.
Published: (2024)

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
by: Luo, Haipeng, et al.
Published: (2023)

Deep Learning-based Method for Expressing Knowledge Boundary of Black-Box LLM
by: Sheng, Haotian, et al.
Published: (2026)

LLM Pretraining with Continuous Concepts
by: Tack, Jihoon, et al.
Published: (2025)

SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs
by: Jayasuriya, Dinithi, et al.
Published: (2025)

Less Finetuning, Better Retrieval: Rethinking LLM Adaptation for Biomedical Retrievers via Synthetic Data and Model Merging
by: Khattab, Sameh, et al.
Published: (2026)

EdgeInfinite-Instruct: Bridging SFT-Based Optimization and NPU-Level Efficiency for Edge Devices
by: Chen, Jiyu, et al.
Published: (2025)

When Prompts Interact: Assessing Prompt Arithmetic for Deconfounding under Distribution Shift
by: Sheng, Zhecheng, et al.
Published: (2026)

Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift
by: Lim, Sungjun, et al.
Published: (2026)

SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models
by: He, Jinghan, et al.
Published: (2024)