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When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models
Michael Shihong Zhang, Rishi Adi Ruia, Arnav Kewalram, Saathvik Dharmapuram, Utkarsh Sharma, Kevin Zhu
- Published: 23 Sept 2025, Last Modified: 01 Dec 2025
- CCFM Poster
- Readers: Everyone
HyperAdapt: Simple High-Rank Adaptation
Abel Gurung, Joseph Campbell
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Oral
- Readers: Everyone
Probe-Rewrite-Evaluate: A Workflow for Reliable Benchmarks and Quantifying Evaluation Awareness
Lang Xiong, Nishant Bhargava, Jeremy Chang, Jianhang Hong, Haihao Liu, Vasu Sharma, Kevin Zhu
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Poster
- Readers: Everyone
Sample-Efficient Parametric Learning from Natural Language
Parth Asawa, Alex Dimakis, Matei Zaharia
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Poster
- Readers: Everyone
Do Language Models Robustly Acquire New Knowledge?
Harshay Shah, Badih Ghazi, Yangsibo Huang, Ravi Kumar, Da Yu, Chiyuan Zhang
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Oral
- Readers: Everyone
Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models
Jonas Hübotter, Patrik Wolf, Aleksandr Shevchenko, Dennis Jüni, Andreas Krause, Gil Kur
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Oral
- Readers: Everyone
TEMPiRL: Foundational Compounding Temporal Drift Theory for Temporal-Graph Adaptation in Large Language Models
Arnav Sharma, Karthik Srikumar
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Poster
- Readers: Everyone
PTPP-Aware Adaptation Scaling Laws: Predicting Domain-Adaptation Performance at Unseen Pre-Training Budgets
Etienne Goffinet, Shane Bergsma, Avraham Sheinin, Natalia Vassilieva, Preslav Nakov, Gurpreet Gosal
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Poster
- Readers: Everyone
IPA: An Information-Preserving Input Projection Framework for Model Adaptation
Yuan Yin, Shashanka Venkataramanan, Tuan-Hung Vu, Andrei Bursuc, Matthieu Cord
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Oral
- Readers: Everyone
Unlearning That Lasts: Utility-Preserving, Robust, and almost Irreversible Forgetting in LLMs
Naman Deep Singh, Maximilian Müller, Francesco Croce, Matthias Hein
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Poster
- Readers: Everyone
Per-Axis Weight Deltas for Frequent Model Updates
Stefan Kuyumdzhiev, Radostin Cholakov
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Oral
- Readers: Everyone
Exploring The Effectiveness of Test Time Learning In LLMs for Long Contexts
Nizar Islah, Irina Rish, Eilif B. Muller
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Poster
- Readers: Everyone
Slim Adaptation Modules: A Simple yet Strong Baseline for Continual Foundation Models
Elif Ceren Gok Yildirim, Murat Onur Yildirim, Joaquin Vanschoren
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Poster
- Readers: Everyone
Sculpting [CLS] Features for Foundation Model-Based Class-Incremental Learning
Murat Onur Yildirim, Elif Ceren Gok Yildirim, Joaquin Vanschoren
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Poster
- Readers: Everyone
Exploring Continual Distillation of Teachers from Different Domains
Nicolas Michel, Maorong Wang, Jiangpeng He, Toshihiko Yamasaki
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Poster
- Readers: Everyone
Revisiting Warm-Start Training: No Generalization Loss under Standard Training Schemes
Hongjoon Ahn, Jinu Hyeon, Hyeonseop Shin, Taesup Moon
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Poster
- Readers: Everyone
Pre-training Limited Memory Language Models with Internal and External Knowledge
Linxi Zhao, Sofian Zalouk, Christian Belardi, Justin Lovelace, Jin Peng Zhou, Kilian Q Weinberger, Yoav Artzi, Jennifer J. Sun
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Oral
- Readers: Everyone
Curriculum Learning as Transport: Training Along Wasserstein Geodesics
Changho Shin, David Alvarez-Melis
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Poster
- Readers: Everyone
Retrieval Capabilities of Large Language Models Scale with Pretraining FLOPs
Jacob Portes, Connor Jennings, Erica Ji Yuen, Sasha Doubov, Michael Carbin
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Poster
- Readers: Everyone
Harnessing Quantum Principles for Parameter-Efficient Continual Learning
Xiaobing Yu, Weiwei Ma, Jin Yang, Peijie Qiu, Xiao Wu, Pan Xiao, Xiaofeng Liu
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Poster
- Readers: Everyone
RL's Razor: Why On-Policy Reinforcement Learning Forgets Less
Idan Shenfeld, Jyothish Pari, Pulkit Agrawal
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Oral
- Readers: Everyone
Vocabulary Customization for Efficient Domain‑Specific LLM Deployment
Christian Herold, Michael Kozielski, Nicholas Santavas, Yannick Versley, Shahram Khadivi
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Poster
- Readers: Everyone
Mapping Post-Training Forgetting in Language Models at Scale
Jackson Harmon, Andreas Hochlehnert, Matthias Bethge, Ameya Prabhu
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Poster
- Readers: Everyone
When Data Falls Short: Grokking Below the Critical Threshold
Vaibhav Singh, Eugene Belilovsky, Rahaf Aljundi
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Poster
- Readers: Everyone
Information-Geometric Perspectives on Merging Variational Foundation Models
Nour Jamoussi, Giuseppe Serra, Photios A. Stavrou, Marios Kountouris
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- CCFM Poster
- Readers: Everyone

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