ICLR 2025 Conference Submissions

Preference Diffusion for Recommendation
Shuo Liu, An Zhang, Guoqing Hu, Hong Qian, Tat-Seng Chua
- Published: 22 Jan 2025, Last Modified: 02 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging
Mohammadreza Pourreza, Ruoxi Sun, Hailong Li, Lesly Miculicich, Tomas Pfister, Sercan O Arik
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
DyGNeX : Efficient Distributed Training of Dynamic Graph Neural Networks with Cross-Time-Window Scheduling
Zihao Fan, Yunzhuo Liu, Tian Guo, Zhi Han, Bo Jiang
- 27 Sept 2024 (modified: 18 Jan 2025)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Your Actions Talk: DUET - A Multimodal Dataset for Contextualizable Dyadic Activities
Cheyu Lin, Katherine A. Flanigan, Sirajum Munir
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Sparsity beyond TopK: A Novel Cosine Loss for Sparse Binary Representations
François Remy
- 27 Sept 2024 (modified: 03 Dec 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment
Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, Alessandro Sordoni, Siva Reddy, Aaron Courville, Nicolas Le Roux
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Dynamic multi-channel EEG graph modeling for time-evolving brain network
Rikuto Kotoge, Zheng Chen, Tasuku Kimura, Yasuko Matsubara, Takufumi Yanagisawa, Haruhiko Kishima, Yasushi Sakurai
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
HessianGrad: Optimizing AI Systems with Hessian-Aware Textual Gradients
Peiyan Zhang, Haibo Jin, Leyang Hu, Xinnuo Li, Liying Kang, Man Luo, Yangqiu Song, Haohan Wang
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
In-Context Learning at Representation Level via Unlabeled Texts
Yunpeng Tai, Ruoyu Sun
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
INSTRUCTION-FOLLOWING LLMS FOR TIME SERIES PREDICTION: A TWO-STAGE MULTIMODAL APPROACH
Yu Meng, Malik Tiomoko
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Gradient-based Jailbreak Images for Multimodal Fusion Models
Javier Rando, Hannah Korevaar, Erik Brinkman, Ivan Evtimov, Florian Tramèr
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models
Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye LIU, Changxing Ding
- 27 Sept 2024 (modified: 14 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words
Gouki Minegishi, Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo
- Published: 22 Jan 2025, Last Modified: 18 Feb 2025
- ICLR 2025 Poster
- Readers: Everyone
Tool-Planner: Task Planning with Clusters across Multiple Tools
Yanming Liu, Xinyue Peng, Jiannan Cao, Shi Bo, Yuwei Zhang, Xuhong Zhang, Sheng Cheng, Xun Wang, Jianwei Yin, Tianyu Du
- Published: 22 Jan 2025, Last Modified: 28 Feb 2025
- ICLR 2025 Poster
- Readers: Everyone
Locating Information in Large Language Models via Random Matrix Theory
Max Staats, Matthias Thamm, Bernd Rosenow
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMs
Yuanqing Yu, Zhefan Wang, Weizhi Ma, Zhicheng Guo, Jingtao Zhan, Shuai Wang, Chuhan Wu, Zhiqiang Guo, Min Zhang
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Effective LLM Knowledge Learning Requires Rethinking Generalization
Mingkang Zhu, Xi Chen, Zhongdao Wang, Bei Yu, Hengshuang Zhao, Jiaya Jia
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
On a Connection Between Imitation Learning and RLHF
Teng Xiao, Yige Yuan, Mingxiao Li, Zhengyu Chen, Vasant G Honavar
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of Networks
Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Autoencoders for Anomaly Detection are Unreliable
Roel Bouman, Tom Heskes
- 27 Sept 2024 (modified: 23 Jan 2025)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
Xinyi Shang, Peng Sun, Tao Lin
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
In Search of Forgotten Domain Generalization
Prasanna Mayilvahanan, Roland S. Zimmermann, Thaddäus Wiedemer, Evgenia Rusak, Attila Juhos, Matthias Bethge, Wieland Brendel
- Published: 22 Jan 2025, Last Modified: 26 Feb 2025
- ICLR 2025 Spotlight
- Readers: Everyone
Decoding Generalization from Memorization in Deep Neural Networks
Simran Ketha, Venkatakrishnan Ramaswamy
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Beyond Mere Token Analysis: A Hypergraph Metric Space Framework for Defending Against Socially Engineered LLM Attacks
Manohar Kaul, Aditya Saibewar, Sadbhavana Babar
- Published: 22 Jan 2025, Last Modified: 28 Feb 2025
- ICLR 2025 Poster
- Readers: Everyone
Controlling Space and Time with Diffusion Models
Daniel Watson, Saurabh Saxena, Lala Li, Andrea Tagliasacchi, David J. Fleet
- Published: 22 Jan 2025, Last Modified: 02 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone