arXiv:2611.07349v1 Announce Type: cross
Abstract: Parameter-efficient fine-tuning with LoRA is governed by rank, which controls parameter budget and locally accessible task updates. Existing dynamic-...
By Peng Xue, Guodong Fan, Guang-Yong Chen, Xing Chen
arXiv:2611.07496v1 Announce Type: cross
Abstract: Attention is a core building block of frontier models and often dominates compute-bound prefill at long context. FP8 matrix instructions offer twice...
By Quentin Anthony, Ganesh Bikshandi, Praneeth Medepalli, Stephen Ebert
arXiv:2611.07718v1 Announce Type: cross
Abstract: Multimodal self-supervised learning is challenged by heterogeneity, unequal informativeness, and complex information interactions across multimodal d...
By Liangjian Wen, Jiangtao Zheng, Jiang Duan, Qun Dai, Yong Dai, Jianzhuang Liu, Jun Wang, Shu-Dong Huang, Xinwang Liu, Zenglin Xu, Zhao Kang
arXiv:2611.07876v1 Announce Type: cross
Abstract: Large language models increasingly judge code, yet without external feedback such judgments are unreliable, and verifying them by executing tests or...
By Viola Campos, Thomas Klassert, Adrian Ulges
arXiv:2611.08156v1 Announce Type: cross
Abstract: World-action models adapt pretrained video generators, and vision-language-action models build on pretrained vision-language backbones; both tie poli...
By Mateo Cl\'emente, George Z. Xue, Amin Abyaneh, Liheng Ma, Rui Heng Yang, Tongtong Cao, Zhanguang Zhang, Yingxue Zhang
arXiv:2611.08342v1 Announce Type: cross
Abstract: Millimeter-wave radar resolves the micrometer displacements of a moving body as micro-Doppler, enabling gait, gesture, activity, pose and vital-sign...
By Adnan Armouti, Guanyue Qian, Rajalakshmi Nandakumar
arXiv:2611.08407v1 Announce Type: cross
Abstract: Humanoid robots are typically trained as solitary agents, leaving them unable to coordinate physically with human partners who naturally anticipate a...
By Vongani H. Maluleke, James Ni, Kie Horiuchi, Lea Wilken, Jiahui Lei, Evonne Ng, Roei Herzig, Jitendra Malik, Trevor Darrell, Angjoo Kanazawa
arXiv:2509.25592v2 Announce Type: replace
Abstract: Black-box optimization (BBO) addresses problems where objectives are accessible only through costly queries without gradients or explicit structure...
By Morteza Kimiaei, Vyacheslav Kungurtsev
arXiv:2511.08371v2 Announce Type: replace
Abstract: While Deep Learning (DL) experts often have prior knowledge about which hyperparameter settings yield strong performance, only few Hyperparameter O...
By Soham Basu, Nastaran Alipour, Frank Hutter, Danny Stoll
arXiv:2606.21036v2 Announce Type: replace-cross
Abstract: In many domains, practitioners seek models that produce accurate forecasts while faithfully capturing latent system dynamics. Existing approa...
By Jack Ruder, Michael Wojnowicz
arXiv:2609.27110v2 Announce Type: replace-cross
Abstract: Image quality assessment predicts a mean opinion score (MOS), but for image aesthetics the mean hides the individual, so personalized assessm...
By Amit Jadhav, Shaurya Beriwala, Beomjin Kim
arXiv:2611.08231v1 Announce Type: new
Abstract: Large language models (LLMs) are widely used for information access, content production, and agent-based task execution, but their outputs remain vulne...
By Hanyu Qiu, Ze Liu, Zhe Zhao, Kuang Xiong, Blaze Chen, Zhenxiang Yan, Renfen Hu
arXiv:2603.13786v2 Announce Type: replace
Abstract: Continuous prompt search offers a computationally efficient alternative to conventional parameter tuning in natural language processing tasks. Neve...
By Yu Cai, Canxi Huang, Xiaoyu He
arXiv:2610.14431v2 Announce Type: replace-cross
Abstract: Long-term memory enables LLM agents to learn from past interactions but exposes memory formation to adversarial influence. Existing studies p...
By Haowen Pan, Pengyang Shao, Yunshan Ma, Yanzheng Jin, Naixin Zhai, Xiang Wang, Xun Yang
arXiv:2611.07081v1 Announce Type: new
Abstract: Multi-perspective-camera systems are widely adopted since they provide broad visual coverage for autonomous driving, motivating the synthesis of a unif...
By Kaixuan Zhang, Zhipeng Xiong, Minxian Li, Mingwu Ren, Xiatian Zhu
arXiv:2611.07176v1 Announce Type: new
Abstract: Self-supervised learning has given rise to vision foundation models that learn general-purpose image representations transferable across downstream tas...
By Adrian Kruse, Kadir Yilmaz, Daan de Geus, Francis Engelmann, Bastian Leibe
arXiv:2611.07301v1 Announce Type: new
Abstract: Reinforcement learning has become an effective approach for improving video generation, but its success depends heavily on reliable reward models. Exis...
By Caorui Li, Yangguang Ji, Shuxia Lin, Yu Chen, YiCheng Xiao, Yongliang Wu, Zhenxiang Jiang, Licheng Tang, Deng Li, Zhuxuanzi Wang, Jiahao Sun, Chonghan Liu, Lirian Su, Jay Wu, Xu Yang
arXiv:2611.07354v1 Announce Type: new
Abstract: High-quality material generation for physically based rendering (PBR) remains challenging because datasets and synthesis pipelines lack standardized re...
By Yajie Bao, Jiaye Fu, Youtian Lin, Shuang Wu, Jiachen Qian, Feihu Zhang, Xun Cao, Yao Yao
arXiv:2611.07662v1 Announce Type: new
Abstract: Lifelong object maps must estimate whether an object remains at its previously observed location after it leaves view. Existing persistence filters rel...
By Thanh Nguyen Canh, Haolan Zhang, Nak Young Chong
arXiv:2611.07682v1 Announce Type: new
Abstract: Detecting analog integrated circuit (IC) devices in layout images supports circuit analysis and inspection. With only a few annotated examples, variati...
By Zidong Zhao, Rong Huang, Chengxing Fan, Jie Hu, Malik Haris, Ghazal A. Fahmy, Morteza Mousazadeh, Guoqiang Zhang