Paper Search
Latest Papers (89968 total)
-
Physically-Constrained Mamba-SDE for Remaining Useful Life Prediction under Irregular Observations
Deyu Zhuang, Peiliang Gong, Yang Shao, Liyuan Shu, Qi Zhu, Xiaoli Li, Daoqiang Zhang
June 02, 2026
cs.AI arXiv: 2606.01894Accurate Remaining Useful Life prediction is critical for industrial predictive maintenance. However, real-world deployment is challenging due to the
cs.AI -
Collaborative Space Object Detection with Multi-Satellite Viewpoints in LEO Constellations
Xingyu Qu, Wenxuan Zhang, Peng Hu
June 02, 2026
cs.CV arXiv: 2606.01895With the growing number of satellites in low Earth orbit (LEO) constellations, the near-Earth space environment has become increasingly
cs.AI cs.CV -
Train, Test, Re-evaluate: Schedule-Sensitive Evaluation of Generative Data for Hand Detection
Atmika Bhardwaj, Silvia Vock, Nico Steckhan
June 02, 2026
cs.CV arXiv: 2606.01896Generated (or synthetic) image data is increasingly used to augment or replace real training datasets when target imagery is scarce, expensive, or biased. For hand detection
cs.AI cs.CV -
RA-LWLM: Retrieval-Augmented In-Context Localization with Wireless Foundation Models
Guangjin Pan, Hui Chen, Hei Victor Cheng, Henk Wymeersch
June 02, 2026
eess.SP arXiv: 2606.01899Wireless localization is a fundamental capability of sixth-generation (6G) networks. Conventional model-based methods require accurate
cs.AI eess.SP -
Auteur: Language-Driven Cinematographic Framing for Human-Centric Video Generation
Muhammed Burak Kizil, Enes Sanli, Niloy J. Mitra, Xuelin Chen, Erkut Erdem, Aykut Erdem, Duygu Ceylan
June 02, 2026
cs.CV arXiv: 2606.01900Generative video models have achieved remarkable visual fidelity and temporal coherence, yet intentional camera control remains elusive. Existing frameworks treat camera
cs.CV -
The Image Reconstruction Game: Drawing Common Ground Through Iterative Multimodal Dialogue
Sherzod Hakimov, Mattia D'Agostini, Ivan Samodelkin, David Schlangen
June 02, 2026
cs.CV arXiv: 2606.01901We introduce the Image Reconstruction Game, a fully automated benchmark in which a vision-language model issues corrective instructions to an
cs.CL cs.AI cs.CV -
Advancing Electrolaryngeal Speech Enhancement Through Speech-Text Representation Learning
Ding Ma, Jinyi Mi, Fengji Li, Lester Phillip Violeta, Jiajun He, Wenchin Huang, Kazuhiro Kobayashi, Tomoki Toda
June 02, 2026
eess.AS arXiv: 2606.01905Objective: laryngectomees depend on an electromechanical device to generate electrolaryngeal (EL) speech. Compared with normal speech, EL speech
cs.SD eess.AS -
Bayesian Spectral Emotion Transition Discovery from Multi-Annotator Disagreement
Keito Inoshita, Takato Ueno
June 02, 2026
cs.AI arXiv: 2606.01906Emotions evolve through the dynamics of conversation, and understanding their transition structure is foundational to applications ranging from mental-health screening to dialogue
cs.AI -
Private and Stable Test-Time Adaptation with Differential Privacy
Zefeng Li, Qiaoyue Tang, Mathias Lecuyer, Evan Shelhamer
June 02, 2026
cs.LG arXiv: 2606.01908Test-time adaptation (TTA) can reduce error on new and different data by updating the model on these inputs during inference. However, these updates raise the issue of
cs.LG cs.CV -
Echo: A Joint-Embedding Predictive Architecture for Speaker Diarization and Speech Recognition in a Shared Latent Space
Louis Mouchon
June 02, 2026
cs.SD arXiv: 2606.01909We present Echo, a proof-of-concept audio system built around a single 25 M-parameter ViT encoder. The encoder is pretrained with a JEPA
cs.AI cs.SD eess.AS -
Single-Line Drawing Generation via Semantics-Driven Optimization
Tanguy Magne, Alexandre Binninger, Ruben Wiersma, Olga Sorkine-Hornung
June 02, 2026
cs.GR arXiv: 2606.01910Line drawings are a highly expressive art form that requires the artist to abstract and distill the essence of their subject. We present the first semantics-driven method for
cs.GR cs.CV -
Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering
Dongxing Mao, Jinpeng Wang, Jiahao Tang, Kevin Qinghong Lin, Linjie Li, Zhengyuan Yang, Lijuan Wang, Min Li, Jingru Tan
June 02, 2026
cs.CV arXiv: 2606.01911Visual Autoregressive (AR) models generate images by predicting discrete tokens that are decoded by a visual tokenizer
cs.CV -
SMH-Bench: Benchmarking LLM Agents for Environment-Grounded Reasoning and Action in Smart Homes
Kuan Li, Shuo Zhang, Huacan Wang, Fangzhou Yu, Zecheng Sheng, Yi Gu, Weipeng Ming, Lei Xue, Chen Liu, Sen Hu, Ronghao Chen, Siyue Lin, Yuqing Hou, Xiaofeng Mou, Yi Xu
June 02, 2026
cs.AI arXiv: 2606.01912Smart homes are evolving toward complex state-dependent living environments, requiring Large Language Models (LLMs) to
cs.AI -
Mechanistic Diagnostics of Spatial Lexical Bias in Multimodal Large Language Model Spatial Reasoning
Chuang Ma, Qianying Liu, Tomoyuki Obuchi, Fei Cheng, Wang Yang, Sudong Cai, Shuyuan Zheng, Akiko Aizawa, Sadao Kurohashi
June 02, 2026
cs.CL arXiv: 2606.01914Multimodal large language models (MLLMs) remain unreliable on spatial multiple-choice questions, and their failures are often attributed to poorly
cs.CL cs.CV -
Pool-Select-Refine: Allocation-Aware Generative Dataset Distillation with Soft-Label-Guided Latent Refinement
Wenmin Li, Shunsuke Sakai, Zhongkai Zhao, Tatsuhito Hasegawa
June 02, 2026
cs.CV arXiv: 2606.01920Diffusion-based dataset distillation has recently emerged as a promising paradigm for condensing large-scale datasets into compact synthetic sets. By
cs.CV -
Resonant Context Anchoring: Decoupling Attention Routing and Signal Gain at Inference Time
Mingkuan Zhao, Yide Gao, Wentao Hu, Suquan Chen, Tianchen Huang, Zhenhua An, Zetao Chang, Xiayu Sun, Yuheng Min
June 02, 2026
cs.CL arXiv: 2606.01923Large Language Models (LLMs) frequently exhibit "contextual disregard" when faced with input evidence that conflicts with their internal parametric
cs.CL cs.LG -
Mitigating Bias in Locally Constrained Decoding via Tractable Proposals
Meihua Dang, Linxin Song, Honghua Zhang, Jieyu Zhao, Guy Van den Broeck, Stefano Ermon
June 02, 2026
cs.CL arXiv: 2606.01926Generations from large language models often fail to conform to desired constraints such as JSON schema. Existing locally constrained decoding
cs.CL -
Scaling LLM Inference Beyond Amdahl`s Limits via Eliminating Non-Scalable Overheads
Alan Zhao, Cyril Y. He, Wei Xu
June 02, 2026
cs.DC arXiv: 2606.01927Deployers of online LLM services usually seek to maximize cluster-wide performance given a fixed number of GPUs. Tensor parallelism (TP) is necessary to fit modern
cs.DC -
Teaching Synchronous Dataflow Modelling with Learn-Heptagon
Pierre-Loïc Garoche, Basile Pesin
June 02, 2026
cs.PL arXiv: 2606.01928Lustre is a synchronous dataflow language designed to implement safety-critical embedded software. In addition to writing executable programs, the language doubles as a
cs.PL -
VET: A Framework for Analyzing AI Discourse
Meredith Ringel Morris
June 02, 2026
cs.AI arXiv: 2606.01929Public discourse on AI has become polarized; exaggerated positions on AI in traditional and social media threaten the development of AI
cs.AI