Hichem Ammar Khodja, Frederic Bechet, Quentin Brabant, Alexis Nasr, and Gwénolé Lecorvé
[poster] Memorization in Language Models through the Lens of Intrinsic Dimension
Stefan Arnold
[poster] From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts
Daniel Christoph, Max Ploner, Patrick Haller, and Alan Akbik
[poster] Towards a Principled Evaluation of Knowledge Editors
Sebastian Pohl, Max Ploner, and Alan Akbik
[virtual spotlight] On the Way to LLM Personalization: Learning to Remember User Conversations
Lucie Charlotte Magister, Katherine Metcalf, Yizhe Zhang, and Maartje Ter Hoeve
[poster] From Teacher to Student: Tracking Memorization Through Model Distillation
Simardeep Singh
[poster] Understanding Verbatim Memorization in LLMs Through Circuit Discovery
Ilya Lasy, Peter Knees, and Stefan Woltran
[virutal spotlight] Quantifying Memorization in Continual Pre-training with Japanese General or Industry-Specific Corpora
Hiromu Takahashi and Shotaro Ishihara
Ali Satvaty, Anna Visman, Dan Seidel, Suzan Verberne, and Fatih Turkmen
[poster] Quantifying Memorization and Parametric Response Rates in Retrieval-Augmented Vision-Language Models
Peter Carragher, Abhinand Jha, Raghav R, and Kathleen M. Carley
[poster] Empirical Evaluation of Loss Masking to Selectively Prevent Memorization
Tagore Rao Kosireddy, and Evan Lucas
[poster] Bring Your Own Knowledge: A Survey of Methods for LLM Knowledge Expansion
Mingyang Wang, Alisa Stoll, Lukas Lange, Heike Adel, Hinrich Schuetze, and Jannik Strötgen
[virtual spotlight] Memorization: A Close Look at Books
Iris Ma, Ian Domingo, Alberto Krone-Martins, Pierre Baldi, and Cristina Lopes
[poster] Memory Tokens: Large Language Models Can Generate Reversible Sentence Embeddings
Ignacio Sastre, and Aiala Rosá
[poster] Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge
Xinyue Cui, Johnny Wei, Swabha Swayamdipta, and Robin Jia
Shanshan Xu, Santosh T.y.s.s, Yanai Elazar, Quirin Vogel, Barbara Plank, and Matthias Grabmair
[poster] Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data
Anton Changalidis and Aki Härmä
[poster] Personal Information Parroting in Language Models
Nishant Subramani, Kshitish Ghate, and Mona T. Diab
[poster] MeMo: Towards Language Models with Associative Memory Mechanisms
Fabio Massimo Zanzotto, Elena Sofia Ruzzetti, Giancarlo A. Xompero, Leonardo Ranaldi, Davide Venditti, Federico Ranaldi, Cristina Giannone, Andrea Favalli, and Raniero Romagnoli
[poster] Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training
Jaydeep Borkar, Matthew Jagielski, Katherine Lee, Niloofar Mireshghallah, David A. Smith, and Christopher A. Choquette-Choo
Jiahao Huo, Yibo Yan, Xu Zheng, Yuanhuiyi Lyu, Xin Zou, Zhihua Wei, and Xuming Hu
[poster] Do LLMs Dream of Ontologies?
Marco Bombieri, Simone Paolo Ponzetto, and Marco Rospocher
[poster] Auditing Privacy Preserving In-Context Learning Methods
Jacob Choi, Xingjian Dong, Shuying Cao, and Sai Praneeth Karimireddy
[poster] The Effect of Surprisal on Reading Times in Information Seeking and Repeated Reading
Keren Gruteke Klein, Yoav Meiri, Omer Shubi, and Yevgeni Berzak
[poster] Empirical Privacy Variance
Yuzheng Hu, Fan Wu, Ruicheng Xian, Yuhang Liu, Lydia Zakynthinou, Pritish Kamath, Chiyuan Zhang, and David Forsyth
Investigating the Large Language Models' Awareness of Changing Medical Knowledge
Juraj Vladika and Florian Matthes
What LLMs Learn on Knowledge Graphs: A Knowledge-Oriented Analysis of Data Contamination in Text-to-SPARQL
Federico Ranaldi, Andrea Zugarini, Leonardo Ranaldi, and Fabio Massimo Zanzotto
Beyond English: Assessing Multilingual Memorization of Translated Texts in Large Language Models
Alisha Srivastava, Emir Kaan Korukluoglu, Minh Nhat Le, Duyen Tran, Chau Minh Pham, Marzena Karpinska, Mohit Iyyer