| 2025 | TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation. | Hyeongwon Jang, Changhun Kim, Eunho Yang |
| 2025 | Multi-View Graph Clustering via Node-Guided Contrastive Encoding. | Yazhou Ren, Junlong Ke, Zichen Wen, Tianyi Wu, Yang Yang, Xiaorong Pu, Lifang He |
| 2025 | Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures. | Jie Gao, Rajesh Jayaram, Benedikt Kolbe, Shay Sapir, Chris Schwiegelshohn, Sandeep Silwal, Erik Waingarten |
| 2025 | Unified K-Means Clustering with Label-Guided Manifold Learning. | Qianqian Wang, Mengping Jiang, Zhengming Ding, Quanxue Gao |
| 2025 | Reinforced Lifelong Editing for Language Models. | Zherui Li, Houcheng Jiang, Hao Chen, Baolong Bi, Zhenhong Zhou, Fei Sun, Junfeng Fang, Xiang Wang |
| 2025 | Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety. | Zihan Guan, Mengxuan Hu, Ronghang Zhu, Sheng Li, Anil Vullikanti |
| 2025 | R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models. | Pengyi Li, Jianye Hao, Hongyao Tang, Yifu Yuan, Jinbin Qiao, Zibin Dong, Yan Zheng |
| 2025 | Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints. | Qixin Zhang, Wei Huang, Can Jin, Puning Zhao, Yao Shu, Li Shen, Dacheng Tao |
| 2025 | CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective. | Jiayu Liu, Zhenya Huang, Wei Dai, Cheng Cheng, Jinze Wu, Jing Sha, Song Li, Qi Liu, Shijin Wang, Enhong Chen |
| 2025 | A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition. | Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson |
| 2025 | Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning. | Liang Chen, Xueting Han, Li Shen, Jing Bai, Kam-Fai Wong |
| 2025 | Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse. | Ryan Liu, Jiayi Geng, Addison J. Wu, Ilia Sucholutsky, Tania Lombrozo, Thomas L. Griffiths |
| 2025 | Investigating the Overlooked Hessian Structure: From CNNs to LLMs. | Qian-Yuan Tang, Yufei Gu, Yunfeng Cai, Mingming Sun, Ping Li, Zhou Xun, Zeke Xie |
| 2025 | Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation. | Zhuohao Yu, Weizheng Gu, Yidong Wang, Xingru Jiang, Zhengran Zeng, Jindong Wang, Wei Ye, Shikun Zhang |
| 2025 | DyPolySeg: Taylor Series-Inspired Dynamic Polynomial Fitting Network for Few-shot Point Cloud Semantic Segmentation. | Changshuo Wang, Xiang Fang, Prayag Tiwari |
| 2025 | KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search. | Haoran Luo, Haihong E, Yikai Guo, Qika Lin, Xiaobao Wu, Xinyu Mu, Wenhao Liu, Meina Song, Yifan Zhu, Anh Tuan Luu |
| 2025 | Understanding the difficulties of posterior predictive estimation. | Abhinav Agrawal, Justin Domke |
| 2025 | Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation. | Bohan Lyu, Yadi Cao, Duncan Watson-Parris, Leon Bergen, Taylor Berg-Kirkpatrick, Rose Yu |
| 2025 | Hierarchical Overlapping Clustering on Graphs: Cost Function, Algorithm and Scalability. | Yicheng Pan, Renjie Chen, Pengyu Long, Bingchen Fan |
| 2025 | Learning multivariate Gaussians with imperfect advice. | Arnab Bhattacharyya, Davin Choo, Philips George John, Themis Gouleakis |
| 2025 | FlexTok: Resampling Images into 1D Token Sequences of Flexible Length. | Roman Bachmann, Jesse Allardice, David Mizrahi, Enrico Fini, Oguzhan Fatih Kar, Elmira Amirloo, Alaaeldin El-Nouby, Amir Zamir, Afshin Dehghan |
| 2025 | De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs. | Samantha Chen, Pankaj K. Agarwal, Yusu Wang |
| 2025 | Competing Bandits in Matching Markets via Super Stability. | Soumya Basu |
| 2025 | Graph Minimum Factorization Distance and Its Application to Large-Scale Graph Data Clustering. | Jicong Fan |
| 2025 | Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts. | Haoyang Li, Xin Wang, Xueling Zhu, Weigao Wen, Wenwu Zhu |