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Llms

Study: LLMs Able to De-Anonymize User Accounts on Reddit, Hacker News & Other "Pseudonymous" Platforms; Report Co-Author Expands, Advises

Advice from the study's co-author: "Be aware that it’s not any single post that identifies you, but the combination of small details acro...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

[D] Best websites for pytorch/numpy interviews

Hello, I’m at the last year of my PHD and I’m starting to prepare interviews. I’m mainly aiming at applied scientist/research engineer or...

Reddit - Machine Learning · 1 min ·
Llms

[P] Remote sensing foundation models made easy to use.

This project enables the idea of tasking remote sensing models to acquire embeddings like we task satellites to acquire data! https://git...

Reddit - Machine Learning · 1 min ·

All Content

[2603.25097] ElephantBroker: A Knowledge-Grounded Cognitive Runtime for Trustworthy AI Agents
Llms

[2603.25097] ElephantBroker: A Knowledge-Grounded Cognitive Runtime for Trustworthy AI Agents

Abstract page for arXiv paper 2603.25097: ElephantBroker: A Knowledge-Grounded Cognitive Runtime for Trustworthy AI Agents

arXiv - AI · 4 min ·
[2603.25075] Sparse Visual Thought Circuits in Vision-Language Models
Llms

[2603.25075] Sparse Visual Thought Circuits in Vision-Language Models

Abstract page for arXiv paper 2603.25075: Sparse Visual Thought Circuits in Vision-Language Models

arXiv - AI · 3 min ·
[2603.25046] MP-MoE: Matrix Profile-Guided Mixture of Experts for Precipitation Forecasting
Machine Learning

[2603.25046] MP-MoE: Matrix Profile-Guided Mixture of Experts for Precipitation Forecasting

Abstract page for arXiv paper 2603.25046: MP-MoE: Matrix Profile-Guided Mixture of Experts for Precipitation Forecasting

arXiv - Machine Learning · 4 min ·
[2603.25035] Mechanistically Interpreting Compression in Vision-Language Models
Llms

[2603.25035] Mechanistically Interpreting Compression in Vision-Language Models

Abstract page for arXiv paper 2603.25035: Mechanistically Interpreting Compression in Vision-Language Models

arXiv - AI · 3 min ·
[2603.25031] From Stateless to Situated: Building a Psychological World for LLM-Based Emotional Support
Llms

[2603.25031] From Stateless to Situated: Building a Psychological World for LLM-Based Emotional Support

Abstract page for arXiv paper 2603.25031: From Stateless to Situated: Building a Psychological World for LLM-Based Emotional Support

arXiv - AI · 4 min ·
[2603.25022] A Public Theory of Distillation Resistance via Constraint-Coupled Reasoning Architectures
Machine Learning

[2603.25022] A Public Theory of Distillation Resistance via Constraint-Coupled Reasoning Architectures

Abstract page for arXiv paper 2603.25022: A Public Theory of Distillation Resistance via Constraint-Coupled Reasoning Architectures

arXiv - Machine Learning · 3 min ·
[2603.24967] The Anatomy of Uncertainty in LLMs
Llms

[2603.24967] The Anatomy of Uncertainty in LLMs

Abstract page for arXiv paper 2603.24967: The Anatomy of Uncertainty in LLMs

arXiv - AI · 3 min ·
[2603.24963] Design Once, Deploy at Scale: Template-Driven ML Development for Large Model Ecosystems
Machine Learning

[2603.24963] Design Once, Deploy at Scale: Template-Driven ML Development for Large Model Ecosystems

Abstract page for arXiv paper 2603.24963: Design Once, Deploy at Scale: Template-Driven ML Development for Large Model Ecosystems

arXiv - Machine Learning · 4 min ·
[2603.24961] Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math
Llms

[2603.24961] Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math

Abstract page for arXiv paper 2603.24961: Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math

arXiv - AI · 4 min ·
[2603.24943] FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context Protocol
Llms

[2603.24943] FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context Protocol

Abstract page for arXiv paper 2603.24943: FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context...

arXiv - AI · 3 min ·
[2603.24933] Decoding Market Emotions in Cryptocurrency Tweets via Predictive Statement Classification with Machine Learning and Transformers
Machine Learning

[2603.24933] Decoding Market Emotions in Cryptocurrency Tweets via Predictive Statement Classification with Machine Learning and Transformers

Abstract page for arXiv paper 2603.24933: Decoding Market Emotions in Cryptocurrency Tweets via Predictive Statement Classification with ...

arXiv - AI · 4 min ·
[2603.24929] LogitScope: A Framework for Analyzing LLM Uncertainty Through Information Metrics
Llms

[2603.24929] LogitScope: A Framework for Analyzing LLM Uncertainty Through Information Metrics

Abstract page for arXiv paper 2603.24929: LogitScope: A Framework for Analyzing LLM Uncertainty Through Information Metrics

arXiv - AI · 3 min ·
[2603.24904] On the Foundations of Trustworthy Artificial Intelligence
Machine Learning

[2603.24904] On the Foundations of Trustworthy Artificial Intelligence

Abstract page for arXiv paper 2603.24904: On the Foundations of Trustworthy Artificial Intelligence

arXiv - AI · 3 min ·
[2603.24866] How Far Are Vision-Language Models from Constructing the Real World? A Benchmark for Physical Generative Reasoning
Llms

[2603.24866] How Far Are Vision-Language Models from Constructing the Real World? A Benchmark for Physical Generative Reasoning

Abstract page for arXiv paper 2603.24866: How Far Are Vision-Language Models from Constructing the Real World? A Benchmark for Physical G...

arXiv - AI · 4 min ·
[2603.24853] Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts
Machine Learning

[2603.24853] Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts

Abstract page for arXiv paper 2603.24853: Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts

arXiv - AI · 4 min ·
[2603.24787] ReLope: KL-Regularized LoRA Probes for Multimodal LLM Routing
Llms

[2603.24787] ReLope: KL-Regularized LoRA Probes for Multimodal LLM Routing

Abstract page for arXiv paper 2603.24787: ReLope: KL-Regularized LoRA Probes for Multimodal LLM Routing

arXiv - AI · 4 min ·
[2603.24768] Supervising Ralph Wiggum: Exploring a Metacognitive Co-Regulation Agentic AI Loop for Engineering Design
Llms

[2603.24768] Supervising Ralph Wiggum: Exploring a Metacognitive Co-Regulation Agentic AI Loop for Engineering Design

Abstract page for arXiv paper 2603.24768: Supervising Ralph Wiggum: Exploring a Metacognitive Co-Regulation Agentic AI Loop for Engineeri...

arXiv - AI · 4 min ·
[2603.24747] Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach
Llms

[2603.24747] Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach

Abstract page for arXiv paper 2603.24747: Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach

arXiv - AI · 3 min ·
[2603.24742] Trust as Monitoring: Evolutionary Dynamics of User Trust and AI Developer Behaviour
Machine Learning

[2603.24742] Trust as Monitoring: Evolutionary Dynamics of User Trust and AI Developer Behaviour

Abstract page for arXiv paper 2603.24742: Trust as Monitoring: Evolutionary Dynamics of User Trust and AI Developer Behaviour

arXiv - Machine Learning · 4 min ·
[2603.24676] When Is Collective Intelligence a Lottery? Multi-Agent Scaling Laws for Memetic Drift in LLMs
Llms

[2603.24676] When Is Collective Intelligence a Lottery? Multi-Agent Scaling Laws for Memetic Drift in LLMs

Abstract page for arXiv paper 2603.24676: When Is Collective Intelligence a Lottery? Multi-Agent Scaling Laws for Memetic Drift in LLMs

arXiv - AI · 4 min ·
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