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ToolRL: Reward is All Tool Learning Needs
Cheng Qian, Emre Can Acikgoz, Qi He, Hongru WANG, Xiusi Chen, Dilek Hakkani-Tür, Gokhan Tur, Heng Ji
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 poster
- Readers: Everyone
Strategic Costs of Perceived Bias in Fair Selection
L. Elisa Celis, Lingxiao Huang, Milind Sohoni, Nisheeth K. Vishnoi
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 spotlight
- Readers: Everyone
The Adaptive Complexity of Minimizing Relative Fisher Information
Huanjian Zhou, Masashi Sugiyama
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 poster
- Readers: Everyone
A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective
Lianghe Shi, Meng Wu, Huijie Zhang, Zekai Zhang, Molei Tao, Qing Qu
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 spotlight
- Readers: Everyone
UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents
Han Xiao, Guozhi Wang, Yuxiang Chai, Zimu Lu, Weifeng Lin, Hao He, Lue Fan, Liuyang Bian, Rui Hu, Liang Liu, Shuai Ren, Yafei Wen, Xiaoxin Chen, Aojun Zhou, Hongsheng Li
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 poster
- Readers: Everyone
Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification
Xinpeng Lv, Yunxin Mao, Haoxuan Li, KE LIANG, Jinxuan Yang, Wanrong Huang, Haoang Chi, Huan Chen, Long Lan, Cyuanlong, Wenjing Yang, Haotian Wang
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 poster
- Readers: Everyone
RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees
Eilon Vaknin Laufer, Boaz Nadler
- Published: 18 Sept 2025, Last Modified: 14 Dec 2025
- NeurIPS 2025 poster
- Readers: Everyone
Learning (Approximately) Equivariant Networks via Constrained Optimization
Andrei Manolache, Luiz F. O. Chamon, Mathias Niepert
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 oral
- Readers: Everyone
Gatekeeper: Improving Model Cascades Through Confidence Tuning
Stephan Rabanser, Nathalie Rauschmayr, Achin Kulshrestha, Petra Poklukar, Wittawat Jitkrittum, Sean Augenstein, Congchao Wang, Federico Tombari
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 poster
- Readers: Everyone
Modeling the Economic Impacts of AI Openness Regulation
Tori Qiu, Benjamin Laufer, Jon Kleinberg, Hoda Heidari
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 poster
- Readers: Everyone
Wukong's 72 Transformations: High-fidelity Textured 3D Morphing via Flow Models
Minghao Yin, Yukang Cao, Kai Han
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 poster
- Readers: Everyone
Context-Aware Hierarchical Learning: A Two-Step Paradigm towards Safer LLMs
Tengyun Ma, Jiaqi Yao, Daojing He, Shihao Peng, YU LI, Shaohui Liu, Zhuotao Tian
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 poster
- Readers: Everyone
Martingale Posterior Neural Networks for Fast Sequential Decision Making
Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alvaro Cartea, Kevin Patrick Murphy
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 poster
- Readers: Everyone
Lower-level Duality Based Penalty Methods for Bilevel Hyperparameter Optimization
Haochen Xu, Rujun Jiang, Chenhao Yang
- 05 May 2025 (modified: 29 Oct 2025)
- Submitted to NeurIPS 2025
- Readers: Everyone
One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling
Nimrod Berman, Ilan Naiman, Moshe Eliasof, Hedi Zisling, Omri Azencot
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 poster
- Readers: Everyone
JAFAR: Jack up Any Feature at Any Resolution
Paul Couairon, Loick Chambon, Louis Serrano, Jean-Emmanuel HAUGEARD, Matthieu Cord, Nicolas THOME
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 poster
- Readers: Everyone
Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis
Neeraj Kumar, Chad Vanderbilt
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 poster
- Readers: Everyone
Towards Unsupervised Domain Bridging via Image Degradation in Semantic Segmentation
Wangkai Li, Rui Sun, Huayu Mai, Tianzhu Zhang
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 poster
- Readers: Everyone
AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders
Yuezhou Hu, Jiaxin Guo, Xinyu Feng, Tuo Zhao
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 spotlight
- Readers: Everyone
UFM: A Simple Path towards Unified Dense Correspondence with Flow
Yuchen Zhang, Nikhil Varma Keetha, Chenwei Lyu, Bhuvan Jhamb, Yutian Chen, Yuheng Qiu, Jay Karhade, Shreyas Jha, Yaoyu Hu, Deva Ramanan, Sebastian Scherer, Wenshan Wang
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 poster
- Readers: Everyone
ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection
Tao Yin, Shaochen Fu, Zhibin Zhang, Li Huang, Xiaohong Zhang, Yiyuan Yang, Kaixiang Yang, Meng Yan
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 poster
- Readers: Everyone
Learning to Steer: Input-dependent Steering for Multimodal LLMs
Jayneel Parekh, Pegah KHAYATAN, Mustafa Shukor, Arnaud Dapogny, Alasdair Newson, Matthieu Cord
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 poster
- Readers: Everyone
Crucible: Quantifying the Potential of Control Algorithms through LLM Agents
Lianchen Jia, Chaoyang Li, Qian Houde, Tianchi Huang, Jiangchuan Liu, Lifeng Sun
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 poster
- Readers: Everyone
Problem-Parameter-Free Decentralized Bilevel Optimization
Zhiwei Zhai, Wenjing Yan, Ying-Jun Angela Zhang
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 poster
- Readers: Everyone
Towards Unified Multimodal Interleaved Generation via Group Relative Policy Optimization
Ming Nie, Chunwei Wang, Jianhua Han, Hang Xu, Li Zhang
- Published: 18 Sept 2025, Last Modified: 29 Oct 2025
- NeurIPS 2025 poster
- Readers: Everyone

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