Saved in:
| Main Authors: | Chen, Yiyi, Bjerva, Johannes |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.01698 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Text Embedding Inversion Security for Multilingual Language Models
by: Chen, Yiyi, et al.
Published: (2024)
by: Chen, Yiyi, et al.
Published: (2024)
Shared Path: Unraveling Memorization in Multilingual LLMs through Language Similarities
by: Luo, Xiaoyu, et al.
Published: (2025)
by: Luo, Xiaoyu, et al.
Published: (2025)
Against All Odds: Overcoming Typology, Script, and Language Confusion in Multilingual Embedding Inversion Attacks
by: Chen, Yiyi, et al.
Published: (2024)
by: Chen, Yiyi, et al.
Published: (2024)
ALGEN: Few-shot Inversion Attacks on Textual Embeddings using Alignment and Generation
by: Chen, Yiyi, et al.
Published: (2025)
by: Chen, Yiyi, et al.
Published: (2025)
Do LLMs Really Memorize Personally Identifiable Information? Revisiting PII Leakage with a Cue-Controlled Memorization Framework
by: Luo, Xiaoyu, et al.
Published: (2026)
by: Luo, Xiaoyu, et al.
Published: (2026)
Large Language Models are Easily Confused: A Quantitative Metric, Security Implications and Typological Analysis
by: Chen, Yiyi, et al.
Published: (2024)
by: Chen, Yiyi, et al.
Published: (2024)
LAGO: Few-shot Crosslingual Embedding Inversion Attacks via Language Similarity-Aware Graph Optimization
by: Yu, Wenrui, et al.
Published: (2025)
by: Yu, Wenrui, et al.
Published: (2025)
Linguistically Grounded Analysis of Language Models using Shapley Head Values
by: Fekete, Marcell, et al.
Published: (2024)
by: Fekete, Marcell, et al.
Published: (2024)
Characterizing Memorization in Diffusion Language Models: Generalized Extraction and Sampling Effects
by: Luo, Xiaoyu, et al.
Published: (2026)
by: Luo, Xiaoyu, et al.
Published: (2026)
Semantic Leakage from Image Embeddings
by: Chen, Yiyi, et al.
Published: (2026)
by: Chen, Yiyi, et al.
Published: (2026)
When Discourse Pressures Conflict: Information Structure in Vision-Language Model Outputs
by: Fekete, Marcell, et al.
Published: (2026)
by: Fekete, Marcell, et al.
Published: (2026)
NLP Security and Ethics, in the Wild
by: Lent, Heather, et al.
Published: (2025)
by: Lent, Heather, et al.
Published: (2025)
Follow the Path: Reasoning over Knowledge Graph Paths to Improve Large Language Model Factuality
by: Zhang, Mike, et al.
Published: (2025)
by: Zhang, Mike, et al.
Published: (2025)
Multilingual Gradient Word-Order Typology from Universal Dependencies
by: Baylor, Emi, et al.
Published: (2024)
by: Baylor, Emi, et al.
Published: (2024)
MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations
by: Lavrinovics, Ernests, et al.
Published: (2025)
by: Lavrinovics, Ernests, et al.
Published: (2025)
Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective
by: Lavrinovics, Ernests, et al.
Published: (2024)
by: Lavrinovics, Ernests, et al.
Published: (2024)
What is "Typological Diversity" in NLP?
by: Ploeger, Esther, et al.
Published: (2024)
by: Ploeger, Esther, et al.
Published: (2024)
Leveraging Large Language Models for Actionable Course Evaluation Student Feedback to Lecturers
by: Zhang, Mike, et al.
Published: (2024)
by: Zhang, Mike, et al.
Published: (2024)
The Responsible Development of Automated Student Feedback with Generative AI
by: Lindsay, Euan D, et al.
Published: (2023)
by: Lindsay, Euan D, et al.
Published: (2023)
Sociolinguistically Informed Interpretability: A Case Study on Hinglish Emotion Classification
by: Tatariya, Kushal, et al.
Published: (2024)
by: Tatariya, Kushal, et al.
Published: (2024)
A Principled Framework for Evaluating on Typologically Diverse Languages
by: Ploeger, Esther, et al.
Published: (2024)
by: Ploeger, Esther, et al.
Published: (2024)
On-Device LLMs for Home Assistant: Dual Role in Intent Detection and Response Generation
by: Birkmose, Rune, et al.
Published: (2025)
by: Birkmose, Rune, et al.
Published: (2025)
Effective Performance Measurement: Challenges and Opportunities in KPI Extraction from Earnings Calls
by: Aavang, Rasmus T., et al.
Published: (2026)
by: Aavang, Rasmus T., et al.
Published: (2026)
QQ: A Toolkit for Language Identifiers and Metadata
by: Poelman, Wessel, et al.
Published: (2026)
by: Poelman, Wessel, et al.
Published: (2026)
SEFL: A Framework for Generating Synthetic Educational Assignment Feedback with LLM Agents
by: Zhang, Mike, et al.
Published: (2025)
by: Zhang, Mike, et al.
Published: (2025)
Grounding Toxicity in Real-World Events across Languages
by: Tufa, Wondimagegnhue Tsegaye, et al.
Published: (2024)
by: Tufa, Wondimagegnhue Tsegaye, et al.
Published: (2024)
Limited-Resource Adapters Are Regularizers, Not Linguists
by: Fekete, Marcell, et al.
Published: (2025)
by: Fekete, Marcell, et al.
Published: (2025)
How Do Hackathons Foster Creativity? Towards AI Collaborative Evaluation of Creativity at Scale
by: Falk, Jeanette, et al.
Published: (2025)
by: Falk, Jeanette, et al.
Published: (2025)
Evaluating Metalinguistic Knowledge in Large Language Models across the World's Languages
by: Arčon, Tjaša, et al.
Published: (2026)
by: Arčon, Tjaša, et al.
Published: (2026)
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond
by: Li, Qiongxiu, et al.
Published: (2025)
by: Li, Qiongxiu, et al.
Published: (2025)
How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP
by: Tatariya, Kushal, et al.
Published: (2024)
by: Tatariya, Kushal, et al.
Published: (2024)
Lost in Diffusion: Uncovering Hallucination Patterns and Failure Modes in Diffusion Large Language Models
by: Guo, Zhengnan, et al.
Published: (2026)
by: Guo, Zhengnan, et al.
Published: (2026)
The Distribution of Phoneme Frequencies across the World's Languages: Macroscopic and Microscopic Information-Theoretic Models
by: Martín, Fermín Moscoso del Prado, et al.
Published: (2026)
by: Martín, Fermín Moscoso del Prado, et al.
Published: (2026)
Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models
by: Ye, Weihao, et al.
Published: (2024)
by: Ye, Weihao, et al.
Published: (2024)
Comparative Analysis of Listwise Reranking with Large Language Models in Limited-Resource Language Contexts
by: Shen, Yanxin, et al.
Published: (2024)
by: Shen, Yanxin, et al.
Published: (2024)
Not All Attention is Needed: Parameter and Computation Efficient Transfer Learning for Multi-modal Large Language Models
by: Wu, Qiong, et al.
Published: (2024)
by: Wu, Qiong, et al.
Published: (2024)
Gender Bias in Large Language Models across Multiple Languages
by: Zhao, Jinman, et al.
Published: (2024)
by: Zhao, Jinman, et al.
Published: (2024)
Robustness of Large Language Models Against Adversarial Attacks
by: Tao, Yiyi, et al.
Published: (2024)
by: Tao, Yiyi, et al.
Published: (2024)
MetaState: Persistent Working Memory Enhances Reasoning in Discrete Diffusion Language Models
by: Xia, Kejing, et al.
Published: (2026)
by: Xia, Kejing, et al.
Published: (2026)
Persistent Topological Features in Large Language Models
by: Gardinazzi, Yuri, et al.
Published: (2024)
by: Gardinazzi, Yuri, et al.
Published: (2024)
Similar Items
-
Text Embedding Inversion Security for Multilingual Language Models
by: Chen, Yiyi, et al.
Published: (2024) -
Shared Path: Unraveling Memorization in Multilingual LLMs through Language Similarities
by: Luo, Xiaoyu, et al.
Published: (2025) -
Against All Odds: Overcoming Typology, Script, and Language Confusion in Multilingual Embedding Inversion Attacks
by: Chen, Yiyi, et al.
Published: (2024) -
ALGEN: Few-shot Inversion Attacks on Textual Embeddings using Alignment and Generation
by: Chen, Yiyi, et al.
Published: (2025) -
Do LLMs Really Memorize Personally Identifiable Information? Revisiting PII Leakage with a Cue-Controlled Memorization Framework
by: Luo, Xiaoyu, et al.
Published: (2026)