ICLR 2025 Conference Submissions

Core Tokensets for Data-efficient Sequential Training of Transformers
Subarnaduti Paul, Manuel Brack, Patrick Schramowski, Kristian Kersting, Martin Mundt
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
FACTS: A Factored State-Space Framework for World Modelling
Li Nanbo, Firas Laakom, Yucheng XU, Wenyi Wang, Jürgen Schmidhuber
- Published: 22 Jan 2025, Last Modified: 04 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Phantom: General Trigger Attacks on Retrieval Augmented Language Generation
Harsh Chaudhari, Giorgio Severi, John Abascal, Matthew Jagielski, Christopher A. Choquette-Choo, Milad Nasr, Cristina Nita-Rotaru, Alina Oprea
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Batched Bayesian optimization with correlated candidate uncertainties
Jenna Fromer, Runzhong Wang, Mrunali Manjrekar, Austin Tripp, José Miguel Hernández-Lobato, Connor W. Coley
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Benchmarking a well-calibrated measure of weight similarity of deep neural network models
Feihong Xu, Cleber Zanchettin, Luis A. Nunes Amaral
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Tackling the Generative learning trilemma through VAE and GMM-controlled latent space class expansion
Matthieu OLEKHNOVITCH, Dorian Joubaud, Adrien Bolling, Sylvain KUBLER, Maxime Cordy, Mike Papadakis, YVES LE TRAON
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Noise-Robust Preference Losses for Deep Regression Models
Ziyi Chen, Jeremy Karp, Aditya Rajagopal, Lavanya Marla
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Towards Neural Scaling Laws for Foundation Models on Temporal Graphs
Razieh Shirzadkhani, Tran Gia Bao Ngo, Kiarash Shamsi, Shenyang Huang, Farimah Poursafaei, Poupak Azad, Reihaneh Rabbany, Guillaume Rabusseau, Cuneyt Gurcan Akcora
- 26 Sept 2024 (modified: 03 Dec 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Multi-Scale Image Diffusion Transformers: Explainability Leads to Faster Training
Joshua Fixelle, Mircea Stan
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Evaluating multiple models using labeled and unlabeled data
Divya M Shanmugam, Shuvom Sadhuka, Manish Raghavan, John Guttag, Bonnie Berger, Emma Pierson
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
FairCoT: Enhancing Fairness in Diffusion Models via Chain of Thought Reasoning of Multimodal Language Models
Zahraa Al Sahili, Ioannis Patras, Matthew Purver
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Stutter makes large language models smarter
Pei-Chen Ho, Meng-Hsi Chen, Yen-Chen Wu, Da-shan Shiu
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
6D Object Pose Tracking in Internet Videos for Robotic Manipulation
Georgy Ponimatkin, Martin Cífka, Tomas Soucek, Médéric Fourmy, Yann Labbé, Vladimir Petrik, Josef Sivic
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Alice in Wonderland: Simple Tasks Reveal Severe Generalization and Basic Reasoning Deficits in State-Of-the-Art Large Language Models
Marianna Nezhurina, Lucia Cipolina-Kun, Mehdi Cherti, Jenia Jitsev
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Towards Foundation Models for Mixed Integer Linear Programming
Sirui Li, Janardhan Kulkarni, Ishai Menache, Cathy Wu, Beibin Li
- Published: 22 Jan 2025, Last Modified: 21 Feb 2025
- ICLR 2025 Poster
- Readers: Everyone
A Generic Framework for Conformal Fairness
Aditya T. Vadlamani, Anutam Srinivasan, Pranav Maneriker, Ali Payani, srinivasan parthasarathy
- Published: 22 Jan 2025, Last Modified: 17 May 2025
- ICLR 2025 Poster
- Readers: Everyone
MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases
Rithesh R N, Liangwei Yang, Juntao Tan, Tulika Manoj Awalgaonkar, Yilun Zhou, Shelby Heinecke, Sachin Desai, Chien-Sheng Wu, Ran Xu, Sarah Tan, Jianguo Zhang, Zhiwei Liu, Shirley Kokane, Zuxin Liu, Ming Zhu, Huan Wang, Caiming Xiong, Silvio Savarese
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Concept Bottleneck Large Language Models
Chung-En Sun, Tuomas Oikarinen, Berk Ustun, Tsui-Wei Weng
- Published: 22 Jan 2025, Last Modified: 02 Apr 2025
- ICLR 2025 Poster
- Readers: Everyone
UKAN: UNBOUNDED KOLMOGOROV-ARNOLD NETWORKS
Alireza Moradzadeh, Lukasz Wawrzyniak, Miles Macklin, Saee Gopal Paliwal
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting
Suraj Anand, Michael A. Lepori, Jack Merullo, Ellie Pavlick
- Published: 22 Jan 2025, Last Modified: 01 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis
Zhijie Chen, Qiaobo Li, Arindam Banerjee
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language Models
Sarah Ball, Frauke Kreuter, Nina Panickssery
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Reweighting Local Mimina with Tilted SAM
Tian Li, Tianyi Zhou, Jeff Bilmes
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Few-shot Species Range Estimation
Christian Lange, Max Hamilton, Elijah Cole, Alexander Shepard, Samuel Heinrich, Subhransu Maji, Grant Van Horn, Oisin Mac Aodha
- 26 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Low Variance: A Bottleneck in Diffusion-Based Graph Imputation
Daeho Um, Sunoh Kim, Jiwoong Park, Jongin Lim, Seong Jin Ahn, Seulki Park
- 26 Sept 2024 (modified: 15 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone