| 2025 | DataMan: Data Manager for Pre-training Large Language Models. | Ru Peng, Kexin Yang, Yawen Zeng, Junyang Lin, Dayiheng Liu, Junbo Zhao |
| 2025 | Graph Neural Networks Can (Often) Count Substructures. | Paolo Pellizzoni, Till Hendrik Schulz, Karsten M. Borgwardt |
| 2025 | Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions. | Yan Ru Pei |
| 2025 | Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning. | Baoqi Pei, Yifei Huang, Jilan Xu, Guo Chen, Yuping He, Lijin Yang, Yali Wang, Weidi Xie, Yu Qiao, Fei Wu, Limin Wang |
| 2025 | 3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling. | Qizhi Pei, Rui Yan, Kaiyuan Gao, Jinhua Zhu, Lijun Wu |
| 2025 | Bilinear MLPs enable weight-based mechanistic interpretability. | Michael T. Pearce, Thomas Dooms, Alice Rigg, Jos Oramas, Lee Sharkey |
| 2025 | Machine Unlearning Fails to Remove Data Poisoning Attacks. | Martin Pawelczyk, Jimmy Z. Di, Yiwei Lu, Gautam Kamath, Ayush Sekhari, Seth Neel |
| 2025 | A Differentiable Rank-Based Objective for Better Feature Learning. | Krunoslav Lehman Pavasovic, Giulio Biroli, Levent Sagun |
| 2025 | ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding. | Indraneil Paul, Haoyi Yang, Goran Glavas, Kristian Kersting, Iryna Gurevych |
| 2025 | It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation. | Sohan Patnaik, Milan Aggarwal, Sumit Bhatia, Balaji Krishnamurthy |
| 2025 | Lr0.Fm: low-Resolution Zero-Shot Classification Benchmark for Foundation Models. | Priyank Pathak, Shyam Marjit, Shruti Vyas, Yogesh S. Rawat |
| 2025 | Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement. | Gaurav Patel, Christopher Michael Sandino, Behrooz Mahasseni, Ellen L. Zippi, Erdrin Azemi, Ali Moin, Juri Minxha |
| 2025 | Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control. | Devdhar Patel, Hava T. Siegelmann |
| 2025 | Real-time design of architectural structures with differentiable mechanics and neural networks. | Rafael Pastrana, Eder Medina, Isabel M. de Oliveira, Sigrid Adriaenssens, Ryan P. Adams |
| 2025 | Visually Consistent Hierarchical Image Classification. | Seulki Park, Youren Zhang, Stella X. Yu, Sara Beery, Jonathan Huang |
| 2025 | ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains. | Yein Park, Chanwoong Yoon, Jungwoo Park, Donghyeon Lee, Minbyul Jeong, Jaewoo Kang |
| 2025 | Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning. | Giseung Park, Youngchul Sung |
| 2025 | Active Learning for Continual Learning: Keeping the Past Alive in the Present. | Jaehyun Park, Dongmin Park, Jae-Gil Lee |
| 2025 | Competition Dynamics Shape Algorithmic Phases of In-Context Learning. | Core Francisco Park, Ekdeep Singh Lubana, Hidenori Tanaka |
| 2025 | Do LLM Agents Have Regret? A Case Study in Online Learning and Games. | Chanwoo Park, Xiangyu Liu, Asuman E. Ozdaglar, Kaiqing Zhang |
| 2025 | ICLR: In-Context Learning of Representations. | Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka |
| 2025 | Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models. | Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Yuki Mitsufuji |
| 2025 | Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning. | Kwanyoung Park, Youngwoon Lee |
| 2025 | Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series. | Byoungwoo Park, Hyungi Lee, Juho Lee |
| 2025 | Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance. | Dongmin Park, Sebin Kim, Taehong Moon, Minkyu Kim, Kangwook Lee, Jaewoong Cho |