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ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts
arXiv:2603.24853v1 Announce Type: new Abstract: Ethical debates in AI have primarily focused on back-end issues such as data governance, model training, and alg
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
SentinelAI: A Multi-Agent Framework for Structuring and Linking NG9-1-1 Emergency Incident Data
arXiv:2603.24856v1 Announce Type: new Abstract: Emergency response systems generate data from many agencies and systems. In practice, correlating and updating t
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
How Far Are Vision-Language Models from Constructing the Real World? A Benchmark for Physical Generative Reasoning
arXiv:2603.24866v1 Announce Type: new Abstract: The physical world is not merely visual; it is governed by rigorous structural and procedural constraints. Yet,
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
On the Foundations of Trustworthy Artificial Intelligence
arXiv:2603.24904v1 Announce Type: new Abstract: We prove that platform-deterministic inference is necessary and sufficient for trustworthy AI. We formalize this
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
LogitScope: A Framework for Analyzing LLM Uncertainty Through Information Metrics
arXiv:2603.24929v1 Announce Type: new Abstract: Understanding and quantifying uncertainty in large language model (LLM) outputs is critical for reliable deploym
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
Decoding Market Emotions in Cryptocurrency Tweets via Predictive Statement Classification with Machine Learning and Transformers
arXiv:2603.24933v1 Announce Type: new Abstract: The growing prominence of cryptocurrencies has triggered widespread public engagement and increased speculative
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context Protocol
arXiv:2603.24943v1 Announce Type: new Abstract: This paper introduces \textbf{FinMCP-Bench}, a novel benchmark for evaluating large language models (LLMs) in so
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Shopping with a Platform AI Assistant: Who Adopts, When in the Journey, and What For
arXiv:2603.24947v1 Announce Type: new Abstract: This paper provides some of the first large-scale descriptive evidence on how consumers adopt and use platform-e
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math
arXiv:2603.24961v1 Announce Type: new Abstract: Assessing student handwritten scratchwork is crucial for personalized educational feedback but presents unique c
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Design Once, Deploy at Scale: Template-Driven ML Development for Large Model Ecosystems
arXiv:2603.24963v1 Announce Type: new Abstract: Modern computational advertising platforms typically rely on recommendation systems to predict user responses, s
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
The Anatomy of Uncertainty in LLMs
arXiv:2603.24967v1 Announce Type: new Abstract: Understanding why a large language model (LLM) is uncertain about the response is important for their reliable d
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Rethinking Failure Attribution in Multi-Agent Systems: A Multi-Perspective Benchmark and Evaluation
arXiv:2603.25001v1 Announce Type: new Abstract: Failure attribution is essential for diagnosing and improving multi-agent systems (MAS), yet existing benchmarks
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
A Public Theory of Distillation Resistance via Constraint-Coupled Reasoning Architectures
arXiv:2603.25022v1 Announce Type: new Abstract: Knowledge distillation, model extraction, and behavior transfer have become central concerns in frontier AI. The
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
System-Anchored Knee Estimation for Low-Cost Context Window Selection in PDE Forecasting
arXiv:2603.25025v1 Announce Type: new Abstract: Autoregressive neural PDE simulators predict the evolution of physical fields one step at a time from a finite h
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
From Stateless to Situated: Building a Psychological World for LLM-Based Emotional Support
arXiv:2603.25031v1 Announce Type: new Abstract: In psychological support and emotional companionship scenarios, the core limitation of large language models (LL
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Mechanistically Interpreting Compression in Vision-Language Models
arXiv:2603.25035v1 Announce Type: new Abstract: Compressed vision-language models (VLMs) are widely used to reduce memory and compute costs, making them a suita
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
MP-MoE: Matrix Profile-Guided Mixture of Experts for Precipitation Forecasting
arXiv:2603.25046v1 Announce Type: new Abstract: Precipitation forecasting remains a persistent challenge in tropical regions like Vietnam, where complex topogra
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Sparse Visual Thought Circuits in Vision-Language Models
arXiv:2603.25075v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) improve interpretability in multimodal models, but it remains unclear whether SAE fea
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
ElephantBroker: A Knowledge-Grounded Cognitive Runtime for Trustworthy AI Agents
arXiv:2603.25097v1 Announce Type: new Abstract: Large Language Model based agents increasingly operate in high stakes, multi turn settings where factual groundi
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
When Sensing Varies with Contexts: Context-as-Transform for Tactile Few-Shot Class-Incremental Learning
arXiv:2603.25115v1 Announce Type: new Abstract: Few-Shot Class-Incremental Learning (FSCIL) can be particularly susceptible to acquisition contexts with only a