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When Forces Disagree: A Data-Free Fast Diagnostic from Internal Consistency in Direct-Force Neural Network Potentials
Chayaphol Lortaraprasert, Rafael Gomez-Bombarelli
- 20 Sept 2025 (modified: 12 Feb 2026)
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
Do Large Language Models Respect Contracts? Evaluating and Enforcing Contract-Adherence in Code Generation
Soohan Lim, Joonghyuk Hahn, Hyunwoo Park, Sang-Ki Ko, Yo-Sub Han
- 20 Sept 2025 (modified: 21 Nov 2025)
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Graph Adversarial Refinement for Robust Code Fixes: Enhancing Policy Networks via Structure-Aware Contrastive Learning
Bi Xin, yili xuan
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
MARINA-P: Superior Performance in Nonsmooth Federated Optimization with Adaptive Stepsizes
Igor Sokolov, Peter Richtárik
- 20 Sept 2025 (modified: 23 Nov 2025)
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Graph-Energy Reinforcement Learning: Adaptive Reward Design for API Usage Pattern Mining with OOD Detection
An Xi, yili xuan
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
FastEdit: Low-Rank Structured Regularization for Efficient Model Editing
Bingqing Liu, Wei Liu, Haomei Xu, Jun Wang, Ruixuan Li
- 20 Sept 2025 (modified: 06 Jan 2026)
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Hierarchical Code Embeddings with Multi-Level Attention for Reinforcement Learning State Representation
luqi wang, yili xuan
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
Deep Cognition: A Multi-Agent Framework for Collaborative Research with Real-Time Cognitive Oversight
Lyumanshan Ye, Xiaojie Cai, Xinkai Wang, Junfei Wang, Xiangkun Hu, Jiadi Su, Yang Nan, Jinbin Luo, Sihan Wang, Xiaoze Fan, Yuxiang Zheng, Bohan Zhang, Tianze Xu, Dayuan Fu, Yunze Wu, Pengrui Lu, Zengzhi Wang, Yiwei Qin, Zhen Huang, Yan Ma et al. (7 additional authors not shown)
Large Language Models as Nondeterministic Causal Models
Sander Beckers
- 20 Sept 2025 (modified: 15 Dec 2025)
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Performance vs interpretability trade-off of hand-crafted and language model features: The case of protein superfamily classification
Pranav Machingal, Rakesh Busi, Nandyala Hemachandra, Petety V. Balaji
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
ExLLM: Experience-Enhanced LLM Optimization for Molecular Design and Beyond
Nian Ran, Yue Wang, Xiaoyuan Zhang, Zhongzheng Li, Qingsong Ran, Wenhao Li, Richard Allmendinger
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
SAGE Can Quantify Why Two Models Behave Differently
Bhaskar Mangal, Ashutosh Bhatia, Yashvardhan Sharma, Kamlesh Tiwari
- 20 Sept 2025 (modified: 02 Dec 2025)
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Octopus: An Auto-Generated Multidimensional Fine-Grained Benchmark for Evaluating Text-to-SQL Systems
Xiang Li, Yu Haining, Chuanyi Liu, Xiao Sun, yikai hou, Peiyi Han, Shaoming Duan, Yizheng Yang, huangwenjie, Wenting Zhang, Zhichao Liu, yiqing zhang, Sun Yinggang, Ziming Guo, Dongyang Zhan, Hongli Zhang, Liang Yan, yingwei liang, Xiaohua Jia
- 20 Sept 2025 (modified: 14 Nov 2025)
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Eliminating the first moment state in Adam optimizer
Mohammad Amin Sadeghi
- 20 Sept 2025 (modified: 12 Feb 2026)
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
Hierarchical Feedback Interface for Human-in-the-Loop Reinforcement Learning in Debugging
Luqi Wang, yili xuan
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
Semantic Proximity for Redundancy-Aware Context Compression in Large Language Models
Charbel Boutros, Luay Gharzeddine, Samer Saab Jr
- 20 Sept 2025 (modified: 28 Nov 2025)
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
EucliFold: Probing 3D Euclidean Prior in VLMs via Cognitively-Stratified Folding Tasks
Lukai Li, Xiangru Chen, Rong Zhao
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
Aligning Large Language Model Behavior with Human Citation Preferences
Kenichiro Ando, Tatsuya Harada
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
Common Corpus: The Largest Collection of Ethical Data for LLM Pre-Training
Pierre-Carl Langlais, Pavel Chizhov, Catherine Arnett, Carlos Rosas Hinostroza, Mattia Nee, Eliot Krzysztof Jones, Irène Girard, David Mach, Anastasia Stasenko, Ivan P. Yamshchikov
- Published: 26 Jan 2026, Last Modified: 11 Apr 2026
- ICLR 2026 Oral
- Readers: Everyone
Adversarial Robust Reward Shaping for Safe Reinforcement Learning in AI-Generated Code
yili xuan
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
Unlocking the Potential of Weighting Methods in Federated Learning Through Communication Compression
Valery Parfenov, Nail Bashirov, Daniil Medyakov, Dmitry Bylinkin, Aleksandr Beznosikov
- Published: 26 Jan 2026, Last Modified: 11 Apr 2026
- ICLR 2026 Poster
- Readers: Everyone
LLMs Leak Training Data Beyond Verbatim Memorization via Membership Decoding
Zitai Chen, Reza Shokri
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
Generative Model via Quantile Assignment
Georgi Hrusanov, Oliver Y. Chén, Julien Bodelet
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
Image Hashing via Cross-View Code Alignment in the Age of Foundation Models
Ilyass Moummad, Kawtar Zaher, Hervé Goeau, Alexis Joly
- 20 Sept 2025 (modified: 14 Nov 2025)
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Joint Learning Between Reference Image and Text Prompt for Fashion Image Editing
Shanshan Huang, Haoxuan Li, Chunyuan Zheng, Mingyuan Ge, Lei Wang, Li Liu
- 20 Sept 2025 (modified: 14 Nov 2025)
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone

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20 Sept 2025 (modified: 05 Jan 2026)
ICLR 2026 Conference Withdrawn Submission
Readers: Everyone