Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation
Fuente:
arXiv
Saved in:
| Main Authors: | Vasilev, Stefan, Herold, Christian, Liao, Baohao, Hashemi, Seyyed Hadi, Khadivi, Shahram, Monz, Christof |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning
by: Liao, Baohao, et al.
Published: (2025)
by: Liao, Baohao, et al.
Published: (2025)
Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?
by: Pan, Leyi, et al.
Published: (2025)
by: Pan, Leyi, et al.
Published: (2025)
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation
by: Liu, Aiwei, et al.
Published: (2024)
by: Liu, Aiwei, et al.
Published: (2024)
IKUN for WMT24 General MT Task: LLMs Are here for Multilingual Machine Translation
by: Liao, Baohao, et al.
Published: (2024)
by: Liao, Baohao, et al.
Published: (2024)
Align-to-Distill: Trainable Attention Alignment for Knowledge Distillation in Neural Machine Translation
by: Jin, Heegon, et al.
Published: (2024)
by: Jin, Heegon, et al.
Published: (2024)
Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models
by: Park, Seungcheol, et al.
Published: (2025)
by: Park, Seungcheol, et al.
Published: (2025)
Distilling Large Language Models for Efficient Clinical Information Extraction
by: Vedula, Karthik S., et al.
Published: (2024)
by: Vedula, Karthik S., et al.
Published: (2024)
Can LLMs Compute with Reasons?
by: Sandilya, Harshit, et al.
Published: (2024)
by: Sandilya, Harshit, et al.
Published: (2024)
A Study into Investigating Temporal Robustness of LLMs
by: Wallat, Jonas, et al.
Published: (2025)
by: Wallat, Jonas, et al.
Published: (2025)
LLMs for Legal Subsumption in German Employment Contracts
by: Wardas, Oliver, et al.
Published: (2025)
by: Wardas, Oliver, et al.
Published: (2025)
Multiplication in Multimodal LLMs: Computation with Text, Image, and Audio Inputs
by: Balter, Samuel G., et al.
Published: (2026)
by: Balter, Samuel G., et al.
Published: (2026)
When Retrieval Succeeds and Fails: Rethinking Retrieval-Augmented Generation for LLMs
by: Wang, Yongjie, et al.
Published: (2025)
by: Wang, Yongjie, et al.
Published: (2025)
The Unlikely Duel: Evaluating Creative Writing in LLMs through a Unique Scenario
by: Gómez-Rodríguez, Carlos, et al.
Published: (2024)
by: Gómez-Rodríguez, Carlos, et al.
Published: (2024)
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
by: Fang, Xi, et al.
Published: (2024)
by: Fang, Xi, et al.
Published: (2024)
How much do LLMs learn from negative examples?
by: Hamdan, Shadi, et al.
Published: (2025)
by: Hamdan, Shadi, et al.
Published: (2025)
Communicative Agents for Slideshow Storytelling Video Generation based on LLMs
by: Fan, Jingxing, et al.
Published: (2025)
by: Fan, Jingxing, et al.
Published: (2025)
On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations
by: Meng, Shiao, et al.
Published: (2024)
by: Meng, Shiao, et al.
Published: (2024)
Beyond Many-Shot Translation: Scaling In-Context Demonstrations For Low-Resource Machine Translation
by: Salim, Luis Frentzen, et al.
Published: (2026)
by: Salim, Luis Frentzen, et al.
Published: (2026)
Bidirectional RAG: Safe Self-Improving Retrieval-Augmented Generation Through Multi-Stage Validation
by: Chinthala, Teja
Published: (2025)
by: Chinthala, Teja
Published: (2025)
NOTAI.AI: Explainable Detection of Machine-Generated Text via Curvature and Feature Attribution
by: Breneur, Oleksandr Marchenko, et al.
Published: (2026)
by: Breneur, Oleksandr Marchenko, et al.
Published: (2026)
Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMs
by: Anshumann, et al.
Published: (2025)
by: Anshumann, et al.
Published: (2025)
Knowledge Distillation of Domain-adapted LLMs for Question-Answering in Telecom
by: Sen, Rishika, et al.
Published: (2025)
by: Sen, Rishika, et al.
Published: (2025)
Prompt Engineering and the Effectiveness of Large Language Models in Enhancing Human Productivity
by: Anam, Rizal Khoirul
Published: (2025)
by: Anam, Rizal Khoirul
Published: (2025)
Targeted Lexical Injection: Unlocking Latent Cross-Lingual Alignment in Lugha-Llama via Early-Layer LoRA Fine-Tuning
by: Ngugi, Stanley
Published: (2025)
by: Ngugi, Stanley
Published: (2025)
Do LLMs have a Gender (Entropy) Bias?
by: Prabhune, Sonal, et al.
Published: (2025)
by: Prabhune, Sonal, et al.
Published: (2025)
CLMN: Concept based Language Models via Neural Symbolic Reasoning
by: Yang, Yibo
Published: (2025)
by: Yang, Yibo
Published: (2025)
Co-NAML-LSTUR: A Combined Model with Attentive Multi-View Learning and Long- and Short-term User Representations for News Recommendation
by: Nguyen, Minh Hoang, et al.
Published: (2025)
by: Nguyen, Minh Hoang, et al.
Published: (2025)
A-VERT: Agnostic Verification with Embedding Ranking Targets
by: Aguirre, Nicolás, et al.
Published: (2025)
by: Aguirre, Nicolás, et al.
Published: (2025)
MicroRemed: Benchmarking LLMs in Microservices Remediation
by: Zhang, Lingzhe, et al.
Published: (2025)
by: Zhang, Lingzhe, et al.
Published: (2025)
Pun Unintended: LLMs and the Illusion of Humor Understanding
by: Zangari, Alessandro, et al.
Published: (2025)
by: Zangari, Alessandro, et al.
Published: (2025)
Towards Probabilistic Question Answering Over Tabular Data
by: Shen, Chen, et al.
Published: (2025)
by: Shen, Chen, et al.
Published: (2025)
SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs
by: Alam, Firoj, et al.
Published: (2025)
by: Alam, Firoj, et al.
Published: (2025)
Can Watermarked LLMs be Identified by Users via Crafted Prompts?
by: Liu, Aiwei, et al.
Published: (2024)
by: Liu, Aiwei, et al.
Published: (2024)
Mitigating LLM Hallucinations through Domain-Grounded Tiered Retrieval
by: Haque, Md. Asraful, et al.
Published: (2026)
by: Haque, Md. Asraful, et al.
Published: (2026)
Pivot Language for Low-Resource Machine Translation
by: Talwar, Abhimanyu, et al.
Published: (2025)
by: Talwar, Abhimanyu, et al.
Published: (2025)
The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs
by: Fang, Xi, et al.
Published: (2025)
by: Fang, Xi, et al.
Published: (2025)
LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
by: Orgad, Hadas, et al.
Published: (2024)
by: Orgad, Hadas, et al.
Published: (2024)
Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis
by: Huang, Donghao, et al.
Published: (2026)
by: Huang, Donghao, et al.
Published: (2026)
MORABLES: A Benchmark for Assessing Abstract Moral Reasoning in LLMs with Fables
by: Marcuzzo, Matteo, et al.
Published: (2025)
by: Marcuzzo, Matteo, et al.
Published: (2025)
The Knesset Corpus: An Annotated Corpus of Hebrew Parliamentary Proceedings
by: Goldin, Gili, et al.
Published: (2024)
by: Goldin, Gili, et al.
Published: (2024)
Similar Items
-
ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning
by: Liao, Baohao, et al.
Published: (2025) -
Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?
by: Pan, Leyi, et al.
Published: (2025) -
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation
by: Liu, Aiwei, et al.
Published: (2024) -
IKUN for WMT24 General MT Task: LLMs Are here for Multilingual Machine Translation
by: Liao, Baohao, et al.
Published: (2024) -
Align-to-Distill: Trainable Attention Alignment for Knowledge Distillation in Neural Machine Translation
by: Jin, Heegon, et al.
Published: (2024)