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ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago
Working Notes on Late Interaction Dynamics: Analyzing Targeted Behaviors of Late Interaction Models
arXiv:2603.26259v1 Announce Type: cross Abstract: While Late Interaction models exhibit strong retrieval performance, many of their underlying dynamics remain u
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1d ago
GeoGuide: Hierarchical Geometric Guidance for Open-Vocabulary 3D Semantic Segmentation
arXiv:2603.26260v1 Announce Type: cross Abstract: Open-vocabulary 3D semantic segmentation aims to segment arbitrary categories beyond the training set. Existin
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago
Knowdit: Agentic Smart Contract Vulnerability Detection with Auditing Knowledge Summarization
arXiv:2603.26270v1 Announce Type: cross Abstract: Smart contracts govern billions of dollars in decentralized finance (DeFi), yet automated vulnerability detect
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago
PhysVid: Physics Aware Local Conditioning for Generative Video Models
arXiv:2603.26285v1 Announce Type: cross Abstract: Generative video models achieve high visual fidelity but often violate basic physical principles, limiting rel
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1d ago
findsylls: A Language-Agnostic Toolkit for Syllable-Level Speech Tokenization and Embedding
arXiv:2603.26292v1 Announce Type: cross Abstract: Syllable-level units offer compact and linguistically meaningful representations for spoken language modeling
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago
Preference-Aligned LoRA Merging: Preserving Subspace Coverage and Addressing Directional Anisotropy
arXiv:2603.26299v1 Announce Type: cross Abstract: Merging multiple Low-Rank Adaptation (LoRA) modules is promising for constructing general-purpose systems, yet
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago
Label-Free Cross-Task LoRA Merging with Null-Space Compression
arXiv:2603.26317v1 Announce Type: cross Abstract: Model merging combines independently fine-tuned checkpoints without joint multi-task training. In the era of f
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago
From Human Cognition to Neural Activations: Probing the Computational Primitives of Spatial Reasoning in LLMs
arXiv:2603.26323v1 Announce Type: cross Abstract: As spatial intelligence becomes an increasingly important capability for foundation models, it remains unclear
ArXiv cs.AI 📄 Paper 1d ago
PRISMA: Toward a Normative Information Infrastructure for Responsible Pharmaceutical Knowledge Management
arXiv:2603.26324v1 Announce Type: cross Abstract: Most existing approaches to AI in pharmacy collapse three epistemologically distinct operations into a single
ArXiv cs.AI 📄 Paper 1d ago
Mitigating the Reasoning Tax in Vision-Language Fine-Tuning with Input-Adaptive Depth Aggregation
arXiv:2603.26330v1 Announce Type: cross Abstract: Supervised fine-tuning (SFT) on visual instruction data often improves perceptual capabilities in vision-langu
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago
CALRK-Bench: Evaluating Context-Aware Legal Reasoning in Korean Law
arXiv:2603.26332v1 Announce Type: cross Abstract: Legal reasoning requires not only the application of legal rules but also an understanding of the context in w
ArXiv cs.AI 📄 Paper 1d ago
Reflect to Inform: Boosting Multimodal Reasoning via Information-Gain-Driven Verification
arXiv:2603.26348v1 Announce Type: cross Abstract: Multimodal Large Language Models (MLLMs) achieve strong multimodal reasoning performance, yet we identify a re
ArXiv cs.AI 📄 Paper 1d ago
Generative Score Inference for Multimodal Data
arXiv:2603.26349v1 Announce Type: cross Abstract: Accurate uncertainty quantification is crucial for making reliable decisions in various supervised learning sc
ArXiv cs.AI 📄 Paper 1d ago
Automated near-term quantum algorithm discovery for molecular ground states
arXiv:2603.26359v1 Announce Type: cross Abstract: Designing quantum algorithms is a complex and counterintuitive task, making it an ideal candidate for AI-drive
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1d ago
Generative Modeling in Protein Design: Neural Representations, Conditional Generation, and Evaluation Standards
arXiv:2603.26378v1 Announce Type: cross Abstract: Generative modeling has become a central paradigm in protein research, extending machine learning beyond struc
ArXiv cs.AI 📄 Paper 1d ago
Why Models Know But Don't Say: Chain-of-Thought Faithfulness Divergence Between Thinking Tokens and Answers in Open-Weight Reasoning Models
arXiv:2603.26410v1 Announce Type: cross Abstract: Extended-thinking models expose a second text-generation channel ("thinking tokens") alongside the user-visibl
ArXiv cs.AI 📄 Paper 1d ago
KMM-CP: Practical Conformal Prediction under Covariate Shift via Selective Kernel Mean Matching
arXiv:2603.26415v1 Announce Type: cross Abstract: Uncertainty quantification is essential for deploying machine learning models in high-stakes domains such as s
ArXiv cs.AI 📄 Paper 1d ago
CPUBone: Efficient Vision Backbone Design for Devices with Low Parallelization Capabilities
arXiv:2603.26425v1 Announce Type: cross Abstract: Recent research on vision backbone architectures has predominantly focused on optimizing efficiency for hardwa
ArXiv cs.AI 📄 Paper 1d ago
Can AI Models Direct Each Other? Organizational Structure as a Probe into Training Limitations
arXiv:2603.26458v1 Announce Type: cross Abstract: Can an expensive AI model effectively direct a cheap one to solve software engineering tasks? We study this qu
ArXiv cs.AI 📄 Paper 1d ago
Neuro-Symbolic Process Anomaly Detection
arXiv:2603.26461v1 Announce Type: cross Abstract: Process anomaly detection is an important application of process mining for identifying deviations from the no
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1d ago
A Boltzmann-machine-enhanced Transformer For DNA Sequence Classification
arXiv:2603.26465v1 Announce Type: cross Abstract: DNA sequence classification requires not only high predictive accuracy but also the ability to uncover latent
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago
UNIFERENCE: A Discrete Event Simulation Framework for Developing Distributed AI Models
arXiv:2603.26469v1 Announce Type: cross Abstract: Developing and evaluating distributed inference algorithms remains difficult due to the lack of standardized t
ArXiv cs.AI 📄 Paper 1d ago
Foundation Model for Cardiac Time Series via Masked Latent Attention
arXiv:2603.26475v1 Announce Type: cross Abstract: Electrocardiograms (ECGs) are among the most widely available clinical signals and play a central role in card
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1d ago
Rocks, Pebbles and Sand: Modality-aware Scheduling for Multimodal Large Language Model Inference
arXiv:2603.26498v1 Announce Type: cross Abstract: Multimodal Large Language Models (MLLMs) power platforms like ChatGPT, Gemini, and Copilot, enabling richer in