ICLR 2025 Conference Submissions

MSSC-BiMamba: Multimodal Sleep Stage Classification with Bidirectional Mamba
Chao Zhang, Weirong Cui, Jingjing Guo
- 27 Sept 2024 (modified: 27 Oct 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Extreme composite compression of large language models through joint optimization
Yuexiao Ma, Zhanhao Xie, Wenting Lin, Xiawu Zheng, Yuhang Wu, Shenao, Jing Lin, Yiwu Yao, Fei Chao, Rongrong Ji
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
ZETA: Leveraging $Z$-order Curves for Efficient Top-$k$ Attention
QIUHAO Zeng, Jerry Huang, Peng Lu, Gezheng Xu, Boxing Chen, Charles Ling, Boyu Wang
- Published: 22 Jan 2025, Last Modified: 26 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Model-diff: A Tool for Comparative Study of Language Models in the Input Space
Weitang Liu, Yuelei Li, Zihan Wang, Ying Wai Li, Jingbo Shang
- 27 Sept 2024 (modified: 12 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
M2rc-Eval: Massively Multilingual Repository-level Code Completion Evaluation
Jiaheng Liu, Ken Deng, Congnan Liu, Jian Yang, Shukai Liu, He Zhu, Peng Zhao, Linzheng Chai, Yanan Wu, Ge Zhang, Noah Wang, JinKe, Bangyu Xiang, Guoan Zhang, Wenbo Su, Bo Zheng
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs'' for Human-AI Interaction
Zhenchang Xing, Yang Liu, Zhuo Cheng, Qing Huang, Dehai Zhao, Daniel SUN, Chenhua Liu
- Published: 22 Jan 2025, Last Modified: 28 Apr 2025
- ICLR 2025 Poster
- Readers: Everyone
Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertainty
Meera Hahn, Wenjun Zeng, Nithish Kannen, Rich Galt, Kartikeya Badola, Been Kim, Zi Wang
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Safe Bayesian Optimization for Complex Control Systems via Additive Gaussian Processes
Hongxuan Wang, Xiaocong Li, Lihao Zheng, Adrish Bhaumik, Prahlad Vadakkepat
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Long-context Protein Language Model
Yingheng Wang, Zichen Wang, Gil Sadeh, Luca Zancato, Alessandro Achille, George Karypis, Huzefa Rangwala
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation
Yuang Peng, Yuxin Cui, Haomiao Tang, Zekun Qi, Runpei Dong, Jing Bai, Chunrui Han, Zheng Ge, Xiangyu Zhang, Shu-Tao Xia
- Published: 22 Jan 2025, Last Modified: 28 Feb 2025
- ICLR 2025 Poster
- Readers: Everyone
Towards Understanding Safety Alignment: A Mechanistic Perspective from Safety Neurons
Jianhui Chen, Xiaozhi Wang, Zijun Yao, Yushi Bai, Lei Hou, Juanzi Li
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Data-centric Prediction Explanation via Kernelized Stein Discrepancy
Mahtab Sarvmaili, Hassan Sajjad, Ga Wu
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
Accurate and Scalable Graph Neural Networks via Message Invariance
Zhihao Shi, Jie Wang, Zhiwei Zhuang, Xize Liang, Bin Li, Feng Wu
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
AVSS: a new benchmark for airport video semantic segmentation
Maozhang Zhou, Xiang Zhang, Wentao Yang
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
AdvBDGen: Adversarially Fortified Prompt-Specific Fuzzy Backdoor Generator Against LLM Alignment
Pankayaraj Pathmanathan, Udari Madhushani Sehwag, Michael-Andrei Panaitescu-Liess, Furong Huang
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Single-View 3D Representations for Reinforcement Learning by Cross-View Neural Radiance Fields
Daesol Cho, Seungyeon Yoo, Dongseok Shim, H. Jin Kim
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction
Jiaqi Zheng, Qing Ling, Yerong Feng
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos
Tianyi Zhang, Yu Cao, Dianbo Liu
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
Surprisingly Simple: Large Language Models are Zero-Shot Feature Extractors for Tabular and Text Data
Zhiyi Shi, Junsik Kim, Davin Jeong, Hanspeter Pfister
- 27 Sept 2024 (modified: 02 Dec 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
SimXRD-4M: Big Simulated X-ray Diffraction Data and Crystal Symmetry Classification Benchmark
Bin CAO, Yang Liu, Zinan Zheng, Ruifeng Tan, Jia Li, Tong-yi Zhang
- Published: 22 Jan 2025, Last Modified: 19 Mar 2025
- ICLR 2025 Poster
- Readers: Everyone
DYSTIL: Dynamic Strategy Induction with Large Language Models for Reinforcement Learning
Borui Wang, Kathleen McKeown, Rex Ying
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone
MathHay: An Automated Benchmark for Long-Context Mathematical Reasoning in LLMs
Lei Wang, Shan Dong, Yuhui Xu, Hanze Dong, Yalu Wang, Amrita Saha, Ee-Peng Lim, Caiming Xiong, Doyen Sahoo
- 27 Sept 2024 (modified: 02 Dec 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Automatic Truncation Position Selection in Singular Value Decomposition for Large Language Models
You-Liang Huang, Xinhao Huang, Xuemei Peng, Zeyi Wen
- 27 Sept 2024 (modified: 21 Nov 2024)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Human Simulacra: Benchmarking the Personification of Large Language Models
Qiujie Xie, Qiming Feng, Tianqi Zhang, Qingqiu Li, Linyi Yang, Yuejie Zhang, Rui Feng, Liang He, Shang Gao, Yue Zhang
- Published: 22 Jan 2025, Last Modified: 16 May 2025
- ICLR 2025 Poster
- Readers: Everyone
Towards Understanding the Feasibility of Machine Unlearning
Mahtab Sarvmaili, Hassan Sajjad, Ga Wu
- 27 Sept 2024 (modified: 05 Feb 2025)
- Submitted to ICLR 2025
- Readers: Everyone