News

On 2-7 December, several CMAI researchers will participate at the 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025), taking place in San Diego. NeurIPS is a prestigious annual academic conference and non-profit foundation that fosters the exchange of research in artificial intelligence (AI), machine learning (ML), and computational neuroscience.

CMAI members will be presenting the following papers at the main track of NeurIPS 2025:

• Towards Interpretability Without Sacrifice: Faithful Dense Layer Decomposition with Mixture of Decoders
  James Oldfield, Shawn Im, Sharon Li, Mihalis Nicolaou, Ioannis Patras, Grigorios Chrysos
  openreview.net/forum?id=jcvX8XFNqX
• Compress & Cache: Vision token compression for efficient generation and retrieval
  Adrian Bulat, Yassine Ouali, Georgios Tzimiropoulos
  openreview.net/forum?id=nGEq3D6FFX
• ViDAR: Video Diffusion-Aware 4D Reconstruction From Monocular Inputs
  Michal Nazarczuk, Sibi Catley-Chandar, Thomas Tanay, Zhensong Zhang, Gregory Slabaugh, Eduardo Pérez-Pellitero
  openreview.net/forum?id=mLVqiNH0aA
• Large language models can learn and generalize steganographic chain-of-thought under process supervision
  Robert McCarthy, Joey SKAF, Luis Ibanez-Lissen, Vasil Georgiev, Connor Watts, Hannes Whittingham, Lorena Gonzalez-Manzano, Cameron Tice, Edward James Young, Puria Radmard, David Lindner
  openreview.net/forum?id=2g5cJqX15Y
• Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Video Temporal Grounding
  Jian Hu, Zixu Cheng, Shaogang Gong, Isabel Guan, Jianye HAO, Jun Wang, Kun Shao
  openreview.net/forum?id=RfNiN2rENM
• CALM: Culturally Self-Aware Language Models
  Lingzhi Shen, Xiaohao Cai, YUNFEI LONG, Imran Razzak, Guanming Chen, Shoaib Jameel
  openreview.net/forum?id=16QYhVFvrO

• λ-Orthogonality Regularization for Compatible Representation Learning
  Simone Ricci, Niccolò Biondi, Federico Pernici, Ioannis Patras, Alberto Del Bimbo
  openreview.net/forum?id=Due3iZPa6u

The following papers will be presented at the Datasets and Benchmarks track of NeurIPS 2025:

• OmniBench: Towards The Future of Universal Omni-Language Models
  Yizhi LI, Ge Zhang, Yinghao Ma, Ruibin Yuan, King Zhu, Hangyu Guo, Yiming Liang, Jiaheng Liu, Zekun Moore Wang, Jian Yang, Siwei Wu, Xingwei Qu, Jinjie Shi, Xinyue Zhang, Zhenzhu Yang, Yidan WEN, Yanghai Wang, Shihao Li, Zhaoxiang Zhang, Ruibo Liu, Emmanouil Benetos, Wenhao Huang, Chenghua Lin
  openreview.net/forum?id=SSF4qgsNYE
• MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix
  Ziyang Ma, Yinghao Ma, Yanqiao Zhu, Chen Yang, Yi-Wen Chao, Ruiyang Xu, Wenxi Chen, Yuanzhe Chen, Zhuo Chen, Jian Cong, Kai Li, Keliang Li, Siyou Li, Xinfeng Li, Xiquan Li, Zheng Lian, Yuzhe Liang, Minghao Liu, Zhikang Niu, tianrui wang, Yuping Wang, Yuxuan Wang, Yihao Wu, Guanrou Yang, Jianwei Yu, Ruibin Yuan, Zhisheng Zheng, Ziya Zhou, Haina Zhu, Wei Xue, Emmanouil Benetos, Kai Yu, EngSiong Chng, Xie Chen
  openreview.net/forum?id=fgmrBJemlQ
• XIFBench: Evaluating Large Language Models on Multilingual Instruction Following
  Zhenyu Li, Kehai Chen, YUNFEI LONG, Xuefeng Bai, Yaoyin Zhang, Xuchen Wei, Juntao Li, Min Zhang
  openreview.net/forum?id=qkdVjCAPOE

The following paper will be presented at the Creative AI track of NeurIPS 2025:

• The Ghost in the Keys: A Disklavier Demo for Human-AI Musical Co-Creativity
  Louis Bradshaw, Alexander Spangher, Stella Biderman, Simon Colton
  openreview.net/forum?id=3yeBer3J5z

See you all at NeurIPS!