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arXiv:2601.20585v1 Announce Type: new Abstract: Ordinal regression and ranking are challenging due to inherent ordinal dependencies that conventional methods struggle to model. We propose Ranking-Aware...
arXiv:2601.20586v1 Announce Type: new Abstract: Massive multiple-input multiple-output (mMIMO) technology and its future evolutions are expected to address the high data rate demands of sixth...
arXiv:2601.20592v1 Announce Type: new Abstract: We investigate structural traces of language contact in the intermediate representations of a monolingual language model. Focusing on Persian (Farsi)...
arXiv:2601.20595v1 Announce Type: new Abstract: Communication has become a first-order bottleneck in large-cale GPU workloads, and existing distributed compilers address it mainly by overlapping whole...
arXiv:2601.20597v1 Announce Type: new Abstract: Continual Text-to-Video Retrieval (CTVR) is a challenging multimodal continual learning setting, where models must incrementally learn new semantic categories while...
arXiv:2601.20598v1 Announce Type: new Abstract: Person Re-Identification (ReID) remains a challenging problem in computer vision. This work reviews various training paradigm and evaluates the robustness...
arXiv:2601.20599v1 Announce Type: new Abstract: Gradient temporal-difference (GTD) learning algorithms are widely used for off-policy policy evaluation with function approximation. However, existing convergence analyses rely...
arXiv:2601.20600v1 Announce Type: new Abstract: In the recent years, there has been active research on self-orthogonal embeddings of linear codes since they yielded some optimal...
arXiv:2601.20601v1 Announce Type: new Abstract: Medical image classification is a core task in computer-aided diagnosis (CAD), playing a pivotal role in early disease detection, treatment...
arXiv:2601.20604v1 Announce Type: new Abstract: This paper introduces a methodological framework for empirically testing AI alignment strategies through structured multi-model dialogue. Drawing on Peace Studies...
arXiv:2601.20605v1 Announce Type: new Abstract: Uncrewed Aerial Vehicles (UAVs) are increasingly used in civilian and industrial applications, making secure low-altitude operations crucial. In dense mmWave...
arXiv:2601.20606v1 Announce Type: new Abstract: Reconstructing dynamical evolution from limited observations is a fundamental challenge in single-cell biology, where dynamic unbalanced optimal transport provides a...
arXiv:2601.20611v1 Announce Type: new Abstract: Time series forecasting (TSF) faces challenges in modeling complex intra-channel temporal dependencies and inter-channel correlations. Although recent research has highlighted...
arXiv:2601.20614v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) offers a robust mechanism for enhancing mathematical reasoning in large models. However, we identify...
arXiv:2601.20615v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated impressive capabilities in code generation by leveraging retrieval-augmented generation (RAG) methods. However, the computational...
arXiv:2601.20617v1 Announce Type: new Abstract: Deploying Large Language Model-based agents (LLM agents) in the public sector requires assuring that they meet the stringent legal, procedural,...
arXiv:2601.20618v1 Announce Type: new Abstract: Multimodal sarcasm detection (MSD) aims to identify sarcasm within image-text pairs by modeling semantic incongruities across modalities. Existing methods often...
arXiv:2601.20622v1 Announce Type: new Abstract: Sketching provides an intuitive way to convey dynamic intent in animation authoring (i.e., how elements change over time and space),...
arXiv:2601.20623v1 Announce Type: new Abstract: Recent advancements in information retrieval have highlighted the potential of integrating visual and textual information, yet effective reranking for image-text...
arXiv:2601.20625v1 Announce Type: new Abstract: Immersive volumetric video streaming in extended reality (XR) demands ultra-low motion-to-photon (MTP) latency, which conventional edge-centric architectures struggle to meet...
arXiv:2601.20627v1 Announce Type: new Abstract: We propose DIVERSE, a framework for systematically exploring the Rashomon set of deep neural networks, the collection of models that...
arXiv:2601.20629v1 Announce Type: new Abstract: A computer is nothing but a device that processes the instructions supplied to it. However, as computers evolved, the instructions...
arXiv:2601.20634v1 Announce Type: new Abstract: Virtual sensors use machine learning to predict target signals from available measurements, replacing expensive physical sensors in critical applications. Existing...
arXiv:2601.20637v1 Announce Type: new Abstract: Accurately modelling the dynamics of complex systems and discovering their governing differential equations are critical tasks for accelerating scientific discovery....