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"If I were in Space": Understanding and Adapting to Social Isolation through Designing Collaborative Narratives
arxiv.org·1d
From Neurons to Semantics: Evaluating Cross-Linguistic Alignment Capabilities of Large Language Models via Neurons Alignment
arxiv.org·1d
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DENSE: Longitudinal Progress Note Generation with Temporal Modeling of Heterogeneous Clinical Notes Across Hospital Visits
arxiv.org·2d
LLM world models are mental: Output layer evidence of brittle world model use in LLM mechanical reasoning
arxiv.org·1d
H-NeiFi: Non-Invasive and Consensus-Efficient Multi-Agent Opinion Guidance
arxiv.org·2d
A High Magnifications Histopathology Image Dataset for Oral Squamous Cell Carcinoma Diagnosis and Prognosis
arxiv.org·12h
Filling the Gap: Is Commonsense Knowledge Generation useful for Natural Language Inference?
arxiv.org·1d
End-to-end Joint Punctuated and Normalized ASR with a Limited Amount of Punctuated Training Data
arxiv.org·1d
EBA-AI: Ethics-Guided Bias-Aware AI for Efficient Underwater Image Enhancement and Coral Reef Monitoring
arxiv.org·1d
MorphoNAS: Embryogenic Neural Architecture Search Through Morphogen-Guided Development
arxiv.org·2d
MedSR-Impact: Transformer-Based Super-Resolution for Lung CT Segmentation, Radiomics, Classification, and Prognosis
arxiv.org·1d
The Impact of Language Mixing on Bilingual LLM Reasoning
arxiv.org·1d
Traffic Signal Phase and Timing Estimation with Large-Scale Floating Car Data
arxiv.org·1d
Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies
arxiv.org·1d
Characterizing the Dynamics of Conspiracy Related German Telegram Conversations during COVID-19
arxiv.org·2d
EPSilon: Efficient Point Sampling for Lightening of Hybrid-based 3D Avatar Generation
arxiv.org·2d
CROSS-GAiT: Cross-Attention-Based Multimodal Representation Fusion for Parametric Gait Adaptation in Complex Terrains
arxiv.org·1d
Smart Routing for Multimodal Video Retrieval: When to Search What
arxiv.org·2d
Coordinate Heart System: A Geometric Framework for Emotion Representation
arxiv.org·1d
Causal Knowledge Transfer for Multi-Agent Reinforcement Learning in Dynamic Environments
arxiv.org·2d