ICLR 2025 Conference Submissions

Measuring Language Model Uncertainty With Internal Concepts
Adam Stein, Matthew Trager, Benjamin Bowman, Alessandro Achille, Stefano Soatto
- 28 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
PALMBENCH: A COMPREHENSIVE BENCHMARK OF COMPRESSED LARGE LANGUAGE MODELS ON MOBILE PLATFORMS
Yilong Li, Jingyu Liu, Hao Zhang, M Badri Narayanan, Utkarsh Sharma, Shuai Zhang, Yijing Zeng, Jayaram Raghuram, Suman Banerjee
- Published: 22 Jan 2025, Last Modified: 30 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
On Stochastic Contextual Bandits with Knapsacks in Small Budget Regime
Hengquan Guo, Xin Liu
- Published: 22 Jan 2025, Last Modified: 28 Feb 2025
- ICLR 2025 Poster
- Readers: Everyone
Fisher Contrastive Learning: A Robust Solution to the Feature Suppression Effect
Shushan Wu, Xilin Gong, Yongkai Chen, Yufang Liu, Wenxuan Zhong, Ping Ma
- 28 Sept 2024 (modified: 01 Jan 2025)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Unsupervised Federated Learning for Privacy Preserving in Face Recognition System
Enoch Solomon
- 28 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
World-Model based Hierarchical Planning with Semantic Communications for Autonomous Driving
Dechen Gao, Hang Wang, Shuangyu Cai, Hanchu Zhou, Nejib Ammar, Shatadal Mishra, Iman Soltani, Junshan Zhang
- 28 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation
Xingchen Wan, Han Zhou, Ruoxi Sun, Sercan O Arik
- Published: 22 Jan 2025, Last Modified: 02 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Can Transformers Perform PCA ?
Yihan He, Yuan Cao, Hong-Yu Chen, Dennis Wu, Jianqing Fan, Han Liu
- 28 Sept 2024 (modified: 04 Dec 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning
Zihao Zhao, Yijiang Li, Yuchen Yang, Wenqing Zhang, Nuno Vasconcelos, Yinzhi Cao
- 28 Sept 2024 (modified: 04 Dec 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Jigsaw Puzzles: Splitting Harmful Questions to Jailbreak Large Language Models
Hao Yang, Lizhen Qu, Ehsan Shareghi, Gholamreza Haffari
- 28 Sept 2024 (modified: 13 Mar 2025)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Feynman: Knowledge-Infused Diagramming Agent for Scaling Visual Reasoning Data
Zixin Wen, Yifu Cai, Kyle Lee, Sam Estep, Joshua Sunshine, Aarti Singh, Yuejie Chi, Wode Ni
- 28 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees
Gautam Chandrasekaran, Adam Klivans, Lin Lin Lee, Konstantinos Stavropoulos
- Published: 22 Jan 2025, Last Modified: 27 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
MuJoCo Manipulus: A Robot Learning Benchmark for Generalizable Tool Manipulation
Jonathan Zamora, Daniel Seita, Yue Wang
- 28 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Forgetting Transformer: Softmax Attention with a Forget Gate
Zhixuan Lin, Evgenii Nikishin, Xu He, Aaron Courville
- Published: 22 Jan 2025, Last Modified: 31 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
Bhavya Sukhija, Stelian Coros, Andreas Krause, Pieter Abbeel, Carmelo Sferrazza
- Published: 22 Jan 2025, Last Modified: 27 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Value Explicit Pretraining for Learning Transferable Representations
Kiran Lekkala, Henghui Bao, Sumedh Anand Sontakke, Erdem Biyik, Laurent Itti
- 28 Sept 2024 (modified: 24 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
LancBiO: Dynamic Lanczos-aided Bilevel Optimization via Krylov Subspace
Yan Yang, Bin Gao, Ya-xiang Yuan
- Published: 22 Jan 2025, Last Modified: 30 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Toward Understanding In-context vs. In-weight Learning
Bryan Chan, Xinyi Chen, András György, Dale Schuurmans
- Published: 22 Jan 2025, Last Modified: 26 Apr 2025
- ICLR 2025 Poster
- Readers: Everyone
Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model
Siyu Chen, Beining Wu, Miao Lu, Zhuoran Yang, Tianhao Wang
- Published: 22 Jan 2025, Last Modified: 01 Mar 2025
- ICLR 2025 Oral
- Readers: Everyone
RouteLLM: Learning to Route LLMs from Preference Data
Isaac Ong, Amjad Almahairi, Vincent Wu, Wei-Lin Chiang, Tianhao Wu, Joseph E. Gonzalez, M Waleed Kadous, Ion Stoica
- Published: 22 Jan 2025, Last Modified: 23 Feb 2025
- ICLR 2025 Poster
- Readers: Everyone
Mitigating Unobserved Confounding via Diffusion Probabilistic Models
Zhenlei Wang, Anjie Liu, Haoxuan Li, Haotian Wang, Xu Chen, Jun Wang, Mengyue Yang
- 28 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play
Wei Fang, Yang Zhang, Kaizhi Qian, James R. Glass, Yada Zhu
- 28 Sept 2024 (modified: 25 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
ShadowPunch: fast actions spotting benchmark
Aleksandr Simonyan, Nikolay Falaleev
- 28 Sept 2024 (modified: 28 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Score-based Self-supervised MRI Denoising
Jiachen Tu, Yaokun Shi, Fan Lam
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Output Alignment: A Top-down Approach to Length Generalization
Tianqi Du, Haotian Huang, Yifei Wang, Yisen Wang
- 28 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone