Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport
Fuente:
arXiv
Saved in:
| Main Authors: | Choi, Minseok, Rim, Daniel, Lee, Dohyun, Choo, Jaegul |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models
by: Lee, Dohyun, et al.
Published: (2024)
by: Lee, Dohyun, et al.
Published: (2024)
Breaking Chains: Unraveling the Links in Multi-Hop Knowledge Unlearning
by: Choi, Minseok, et al.
Published: (2024)
by: Choi, Minseok, et al.
Published: (2024)
Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models
by: Choi, Minseok, et al.
Published: (2024)
by: Choi, Minseok, et al.
Published: (2024)
PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison
by: Park, ChaeHun, et al.
Published: (2024)
by: Park, ChaeHun, et al.
Published: (2024)
Exploring In-context Example Generation for Machine Translation
by: Lee, Dohyun, et al.
Published: (2025)
by: Lee, Dohyun, et al.
Published: (2025)
No Encore: Unlearning as Opt-Out in Music Generation
by: Kim, Jinju, et al.
Published: (2025)
by: Kim, Jinju, et al.
Published: (2025)
Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis
by: Ma, Weitao, et al.
Published: (2024)
by: Ma, Weitao, et al.
Published: (2024)
Can Tool-augmented Large Language Models be Aware of Incomplete Conditions?
by: Yang, Seungbin, et al.
Published: (2024)
by: Yang, Seungbin, et al.
Published: (2024)
Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language Models
by: Park, Cheonbok, et al.
Published: (2025)
by: Park, Cheonbok, et al.
Published: (2025)
Measuring the Depth of LLM Unlearning via Activation Patching
by: Lee, Jaeung, et al.
Published: (2026)
by: Lee, Jaeung, et al.
Published: (2026)
ExpGuard: LLM Content Moderation in Specialized Domains
by: Choi, Minseok, et al.
Published: (2026)
by: Choi, Minseok, et al.
Published: (2026)
OptLLM: Optimal Assignment of Queries to Large Language Models
by: Liu, Yueyue, et al.
Published: (2024)
by: Liu, Yueyue, et al.
Published: (2024)
Investigating Model Editing for Unlearning in Large Language Models
by: Hossain, Shariqah, et al.
Published: (2025)
by: Hossain, Shariqah, et al.
Published: (2025)
BankMathBench: A Benchmark for Numerical Reasoning in Banking Scenarios
by: Lee, Yunseung, et al.
Published: (2026)
by: Lee, Yunseung, et al.
Published: (2026)
Investigating the Feasibility of Mitigating Potential Copyright Infringement via Large Language Model Unlearning
by: Dou, Guangyao
Published: (2024)
by: Dou, Guangyao
Published: (2024)
Talk to Your Slides: High-Efficiency Slide Editing via Language-Driven Structured Data Manipulation
by: Jung, Kyudan, et al.
Published: (2025)
by: Jung, Kyudan, et al.
Published: (2025)
Building Resource-Constrained Language Agents: A Korean Case Study on Chemical Toxicity Information
by: Cho, Hojun, et al.
Published: (2025)
by: Cho, Hojun, et al.
Published: (2025)
Which Retain Set Matters for LLM Unlearning? A Case Study on Entity Unlearning
by: Chang, Hwan, et al.
Published: (2025)
by: Chang, Hwan, et al.
Published: (2025)
Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling
by: Gwak, Daehoon, et al.
Published: (2024)
by: Gwak, Daehoon, et al.
Published: (2024)
Creating a Fine Grained Entity Type Taxonomy Using LLMs
by: Gunn, Michael, et al.
Published: (2024)
by: Gunn, Michael, et al.
Published: (2024)
Mitigating Entity-Level Hallucination in Large Language Models
by: Su, Weihang, et al.
Published: (2024)
by: Su, Weihang, et al.
Published: (2024)
Consistency-Aware Editing for Entity-level Unlearning in Language Models
by: Han, Xiaoqi, et al.
Published: (2025)
by: Han, Xiaoqi, et al.
Published: (2025)
Unlearning Climate Misinformation in Large Language Models
by: Fore, Michael, et al.
Published: (2024)
by: Fore, Michael, et al.
Published: (2024)
Entity Extraction from High-Level Corruption Schemes via Large Language Models
by: Koletsis, Panagiotis, et al.
Published: (2024)
by: Koletsis, Panagiotis, et al.
Published: (2024)
Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching
by: Wang, Tianshu, et al.
Published: (2024)
by: Wang, Tianshu, et al.
Published: (2024)
The Comparative Trap: Pairwise Comparisons Amplifies Biased Preferences of LLM Evaluators
by: Jeong, Hawon, et al.
Published: (2024)
by: Jeong, Hawon, et al.
Published: (2024)
Unlearning What Matters: Token-Level Attribution for Precise Language Model Unlearning
by: Wu, Jiawei, et al.
Published: (2026)
by: Wu, Jiawei, et al.
Published: (2026)
Mitigating Out-of-Entity Errors in Named Entity Recognition: A Sentence-Level Strategy
by: Jiang, Guochao, et al.
Published: (2024)
by: Jiang, Guochao, et al.
Published: (2024)
MAP4TS: A Multi-Aspect Prompting Framework for Time-Series Forecasting with Large Language Models
by: Lee, Suchan, et al.
Published: (2025)
by: Lee, Suchan, et al.
Published: (2025)
Avoiding Copyright Infringement via Large Language Model Unlearning
by: Dou, Guangyao, et al.
Published: (2024)
by: Dou, Guangyao, et al.
Published: (2024)
Evaluating Automatic Speech Recognition Systems for Korean Meteorological Experts
by: Park, ChaeHun, et al.
Published: (2024)
by: Park, ChaeHun, et al.
Published: (2024)
A Survey of Large Language Models in Finance (FinLLMs)
by: Lee, Jean, et al.
Published: (2024)
by: Lee, Jean, et al.
Published: (2024)
TLPO: Token-Level Policy Optimization for Mitigating Language Confusion in Large Language Models
by: Choo, Jinho, et al.
Published: (2026)
by: Choo, Jinho, et al.
Published: (2026)
Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking
by: Zhang, Zefeng, et al.
Published: (2024)
by: Zhang, Zefeng, et al.
Published: (2024)
Single Ground Truth Is Not Enough: Adding Flexibility to Aspect-Based Sentiment Analysis Evaluation
by: Yang, Soyoung, et al.
Published: (2024)
by: Yang, Soyoung, et al.
Published: (2024)
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models
by: Park, Junwoo, et al.
Published: (2025)
by: Park, Junwoo, et al.
Published: (2025)
Evaluating Deep Unlearning in Large Language Models
by: Wu, Ruihan, et al.
Published: (2024)
by: Wu, Ruihan, et al.
Published: (2024)
A Survey on Unlearning in Large Language Models
by: Qiu, Ruichen, et al.
Published: (2025)
by: Qiu, Ruichen, et al.
Published: (2025)
Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method
by: Kim, Taehee, et al.
Published: (2026)
by: Kim, Taehee, et al.
Published: (2026)
LiveWeb-IE: A Benchmark For Online Web Information Extraction
by: Yang, Seungbin, et al.
Published: (2026)
by: Yang, Seungbin, et al.
Published: (2026)
Similar Items
-
Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models
by: Lee, Dohyun, et al.
Published: (2024) -
Breaking Chains: Unraveling the Links in Multi-Hop Knowledge Unlearning
by: Choi, Minseok, et al.
Published: (2024) -
Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models
by: Choi, Minseok, et al.
Published: (2024) -
PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison
by: Park, ChaeHun, et al.
Published: (2024) -
Exploring In-context Example Generation for Machine Translation
by: Lee, Dohyun, et al.
Published: (2025)