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arXiv:2601.17811v1 Announce Type: new Abstract: How do we evaluate experiences in immersive environments? Despite decades of research in immersive technologies such as virtual reality, the...
arXiv:2601.17812v1 Announce Type: new Abstract: Robot-mediated human-human (dyadic) interactions enable therapists to provide physical therapy remotely, yet an accurate perception of patient stiffness remains challenging...
arXiv:2601.17814v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have advanced rapidly, yet heterogeneity in architecture, alignment strategies, and efficiency means that no single...
arXiv:2601.17815v1 Announce Type: new Abstract: Imitation learning provides a powerful framework for goal-conditioned visual navigation in mobile robots, enabling obstacle avoidance while respecting human preferences...
arXiv:2601.17817v1 Announce Type: new Abstract: The rapid expansion of low-altitude economy Internet of Things (LAE-IoT) networks has created unprecedented security challenges due to dynamic three-dimensional...
arXiv:2601.17818v1 Announce Type: new Abstract: Large Vision-Language Models (LVLMs) incur high computational costs due to significant redundancy in their visual tokens. To effectively reduce this...
arXiv:2601.17823v1 Announce Type: new Abstract: In this paper, we present DIETA, a small, decoder-only Transformer model with 0.5 billion parameters, specifically designed and trained for...
arXiv:2601.17824v1 Announce Type: new Abstract: Browser-based language models often use retrieval-augmented generation (RAG) but typically rely on fixed, outdated indices that give users no control...
arXiv:2601.17826v1 Announce Type: new Abstract: The increasing frequency and complexity of regulatory updates present a significant burden for multinational pharmaceutical companies. Compliance teams must interpret...
arXiv:2601.17828v1 Announce Type: new Abstract: We present Information Gain Fine-Tuning (IGFT), a novel approach for training medical conversational AI to conduct effective patient interviews and...
arXiv:2601.17829v1 Announce Type: new Abstract: The construction of function calling agents has emerged as a promising avenue for extending model capabilities. A major challenge for...
arXiv:2601.17830v1 Announce Type: new Abstract: Denoising-based diffusion transformers, despite their strong generation performance, suffer from inefficient training convergence. Existing methods addressing this issue, such as...
arXiv:2601.17833v1 Announce Type: new Abstract: Smart contract security is paramount, but identifying intricate business logic vulnerabilities remains a persistent challenge because existing solutions consistently fall...
arXiv:2601.17834v1 Announce Type: new Abstract: We consider polynomial codes for private distributed matrix multiplication (PDMM/SDMM). Existing codes for PDMM are either specialized for the outer...
arXiv:2601.17835v2 Announce Type: new Abstract: Gaussian Splatting (GS) has demonstrated impressive quality and efficiency in novel view synthesis. However, shape extraction from Gaussian primitives remains...
arXiv:2601.17836v1 Announce Type: new Abstract: In recent years, the success of large language models (LLMs) has driven the exploration of scaling laws in recommender systems....
arXiv:2601.17837v1 Announce Type: new Abstract: Non-native speakers (NNSs) face significant language barriers in multilingual communication with native speakers (NSs). While AI-mediated communication (AIMC) tools offer...
arXiv:2601.17838v1 Announce Type: new Abstract: Multiple-input multiple-output (MIMO) systems using Rydberg atomic (RA) receivers face significant scalability challenges in signal detection due to their nonlinear...
arXiv:2601.17842v1 Announce Type: new Abstract: Leveraging Large Language Models (LLMs) for Mental Health Question Answering (MHQA) is promising for mitigating resource shortages. However, existing Cognitive...
arXiv:2601.17844v1 Announce Type: new Abstract: Electroencephalogram (EEG) decoding is a critical component of medical diagnostics, rehabilitation engineering, and brain-computer interfaces. However, contemporary decoding methodologies remain...
arXiv:2601.17845v1 Announce Type: new Abstract: Mixnet networks deliberately induce additional latency to communications to provide anonymity. Recent developments have allowed mixnets to reduce their latency...
arXiv:2601.17846v1 Announce Type: new Abstract: AI-assisted writing raises concerns about autonomy and ownership when benefiting writers. Personalization has been proposed as an effective solution while...
arXiv:2601.17855v1 Announce Type: new Abstract: Load balancing-the allocation of work across parallel resources to reduce delay, energy and cost-is a pervasive challenge in science and...
arXiv:2601.17857v1 Announce Type: new Abstract: Recent advances in fMRI-based image reconstruction have achieved remarkable photo-realistic fidelity. Yet, a persistent limitation remains: while reconstructed images often...