Imagen de Portada

Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Xiao, Zeguan, Li, Siqing, Wang, Yong, Wei, Xuetao, Yang, Jian, Chen, Yun, Chen, Guanhua
Formato:	Preprint
Publicado:	2026
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Robust LLM Unlearning Against Relearning Attacks: The Minor Components in Representations Matter
por: Xiao, Zeguan, et al.
Publicado: (2026)

Representation-Guided Parameter-Efficient LLM Unlearning
por: Xiao, Zeguan, et al.
Publicado: (2026)

Distract Large Language Models for Automatic Jailbreak Attack
por: Xiao, Zeguan, et al.
Publicado: (2024)

Towards Bridging the Reward-Generation Gap in Direct Alignment Algorithms
por: Xiao, Zeguan, et al.
Publicado: (2025)

SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters
por: Yang, Yan, et al.
Publicado: (2024)

Enhancing Uncertainty Estimation in LLMs with Expectation of Aggregated Internal Belief
por: Xiao, Zeguan, et al.
Publicado: (2025)

ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
por: Yang, Yan, et al.
Publicado: (2025)

Toward Automated Robustness Evaluation of Mathematical Reasoning
por: Hou, Yutao, et al.
Publicado: (2025)

BiasScope: Towards Automated Detection of Bias in LLM-as-a-Judge Evaluation
por: Lai, Peng, et al.
Publicado: (2026)

MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning
por: Wang, Hanqing, et al.
Publicado: (2024)

Unveiling Over-Memorization in Finetuning LLMs for Reasoning Tasks
por: Ruan, Zhiwen, et al.
Publicado: (2025)

FinSafetyBench: Evaluating LLM Safety in Real-World Financial Scenarios
por: Hou, Yutao, et al.
Publicado: (2026)

Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages
por: chi, Yongdong, et al.
Publicado: (2025)

Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations
por: Lai, Peng, et al.
Publicado: (2025)

ALTER: Asymmetric LoRA for Token-Entropy-Guided Unlearning of LLMs
por: Chen, Xunlei, et al.
Publicado: (2026)

InstructDiff: Domain-Adaptive Data Selection via Differential Entropy for Efficient LLM Fine-Tuning
por: Su, Junyou, et al.
Publicado: (2026)

PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning
por: Xue, Tianci, et al.
Publicado: (2023)

Enhancing Large Language Model Reasoning via Selective Critical Token Fine-Tuning
por: Ruan, Zhiwen, et al.
Publicado: (2025)

A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU
por: Chen, Guanhua, et al.
Publicado: (2024)

CLUE: Conflict-guided Localization for LLM Unlearning Framework
por: Chen, Hang, et al.
Publicado: (2025)

LLM Unlearning with LLM Beliefs
por: Li, Kemou, et al.
Publicado: (2025)

SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation
por: Li, Yixia, et al.
Publicado: (2024)

Rotation Control Unlearning: Quantifying and Controlling Continuous Unlearning for LLM with The Cognitive Rotation Space
por: Zhang, Xiang, et al.
Publicado: (2025)

Assessing and Verifying Task Utility in LLM-Powered Applications
por: Arabzadeh, Negar, et al.
Publicado: (2024)

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models
por: Ruan, Zhiwen, et al.
Publicado: (2026)

Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning
por: Ma, Xuetao, et al.
Publicado: (2025)

Towards Fair and Comprehensive Evaluation of Routers in Collaborative LLM Systems
por: Wu, Wanxing, et al.
Publicado: (2026)

LayAlign: Enhancing Multilingual Reasoning in Large Language Models via Layer-Wise Adaptive Fusion and Alignment Strategy
por: Ruan, Zhiwen, et al.
Publicado: (2025)

WPN: An Unlearning Method Based on N-pair Contrastive Learning in Language Models
por: Chen, Guitao, et al.
Publicado: (2024)

UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets
por: Wang, Wenyu, et al.
Publicado: (2025)

Learning Agentic Policy from Action Guidance
por: Ji, Yuxiang, et al.
Publicado: (2026)

G2: Guided Generation for Enhanced Output Diversity in LLMs
por: Ruan, Zhiwen, et al.
Publicado: (2025)

Textualized Agent-Style Reasoning for Complex Tasks by Multiple Round LLM Generation
por: Liang, Chen, et al.
Publicado: (2024)

Explainable LLM Unlearning Through Reasoning
por: Liao, Junfeng, et al.
Publicado: (2026)

A Two-Stage Multimodal Emotion Recognition Model Based on Graph Contrastive Learning
por: Ai, Wei, et al.
Publicado: (2024)

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning
por: Liang, Xiao, et al.
Publicado: (2025)

Learning and Unlearning of Fabricated Knowledge in Language Models
por: Sun, Chen, et al.
Publicado: (2024)

Enhancing Delta Compression in LLMs via SVD-based Quantization Error Minimization
por: Xiong, Boya, et al.
Publicado: (2025)

Align-then-Unlearn: Embedding Alignment for LLM Unlearning
por: Spohn, Philipp, et al.
Publicado: (2025)

Compound-QA: A Benchmark for Evaluating LLMs on Compound Questions
por: Hou, Yutao, et al.
Publicado: (2024)