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Machine Learning

I am doing a multi-model graph database in pure Rust with Cypher, SQL, Gremlin, and native GNN looking for extreme speed and performance

Hi guys, I'm a PhD student in Applied AI and I've been building an embeddable graph database engine from scratch in Rust. I'd love feedba...

Reddit - Artificial Intelligence · 1 min ·
Llms

Chatgpt vs purpose built ai for cre underwriting: which one can finish the job?

I keep seeing people recommend chatgpt for financial modeling and I need to push back because I spent a month testing it for multifamily ...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

[R] Best way to tackle this ICML vague response?

Going through ICML submission for the first time. I had a reviewer ask for some things and during the rebuttal period I ran more experime...

Reddit - Machine Learning · 1 min ·

All Content

[2603.11413] Evaluation format, not model capability, drives triage failure in the assessment of consumer health AI
Llms

[2603.11413] Evaluation format, not model capability, drives triage failure in the assessment of consumer health AI

Abstract page for arXiv paper 2603.11413: Evaluation format, not model capability, drives triage failure in the assessment of consumer he...

arXiv - AI · 4 min ·
[2603.16673] When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making
Llms

[2603.16673] When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making

Abstract page for arXiv paper 2603.16673: When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Rob...

arXiv - AI · 4 min ·
[2603.06663] Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual Prompting
Llms

[2603.06663] Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual Prompting

Abstract page for arXiv paper 2603.06663: Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual ...

arXiv - AI · 4 min ·
[2603.14294] Seeking Physics in Diffusion Noise
Machine Learning

[2603.14294] Seeking Physics in Diffusion Noise

Abstract page for arXiv paper 2603.14294: Seeking Physics in Diffusion Noise

arXiv - AI · 3 min ·
[2601.07325] Robust Bayesian Inference via Variational Approximations of Generalized Rho-Posteriors
Machine Learning

[2601.07325] Robust Bayesian Inference via Variational Approximations of Generalized Rho-Posteriors

Abstract page for arXiv paper 2601.07325: Robust Bayesian Inference via Variational Approximations of Generalized Rho-Posteriors

arXiv - Machine Learning · 3 min ·
[2512.22854] ByteLoom: Weaving Geometry-Consistent Human-Object Interactions through Progressive Curriculum Learning
Machine Learning

[2512.22854] ByteLoom: Weaving Geometry-Consistent Human-Object Interactions through Progressive Curriculum Learning

Abstract page for arXiv paper 2512.22854: ByteLoom: Weaving Geometry-Consistent Human-Object Interactions through Progressive Curriculum ...

arXiv - Machine Learning · 4 min ·
[2512.05245] STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology-Informed Semantic Embeddings
Machine Learning

[2512.05245] STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology-Informed Semantic Embeddings

Abstract page for arXiv paper 2512.05245: STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology...

arXiv - Machine Learning · 4 min ·
[2511.14427] Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning
Machine Learning

[2511.14427] Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning

Abstract page for arXiv paper 2511.14427: Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning

arXiv - Machine Learning · 4 min ·
[2601.08881] TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts
Machine Learning

[2601.08881] TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts

Abstract page for arXiv paper 2601.08881: TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts

arXiv - AI · 4 min ·
[2511.04454] Fitting Reinforcement Learning Model to Behavioral Data under Bandits
Machine Learning

[2511.04454] Fitting Reinforcement Learning Model to Behavioral Data under Bandits

Abstract page for arXiv paper 2511.04454: Fitting Reinforcement Learning Model to Behavioral Data under Bandits

arXiv - Machine Learning · 4 min ·
[2601.06394] Context Matters: Peer-Aware Student Behavioral Engagement Measurement via VLM Action Parsing and LLM Sequence Classification
Llms

[2601.06394] Context Matters: Peer-Aware Student Behavioral Engagement Measurement via VLM Action Parsing and LLM Sequence Classification

Abstract page for arXiv paper 2601.06394: Context Matters: Peer-Aware Student Behavioral Engagement Measurement via VLM Action Parsing an...

arXiv - AI · 4 min ·
[2511.01464] Split-Flows: Measure Transport and Information Loss Across Molecular Resolutions
Machine Learning

[2511.01464] Split-Flows: Measure Transport and Information Loss Across Molecular Resolutions

Abstract page for arXiv paper 2511.01464: Split-Flows: Measure Transport and Information Loss Across Molecular Resolutions

arXiv - Machine Learning · 3 min ·
[2512.14698] TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs
Llms

[2512.14698] TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs

Abstract page for arXiv paper 2512.14698: TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs

arXiv - AI · 4 min ·
[2512.10411] SWAA: Sliding Window Attention Adaptation for Efficient and Quality Preserving Long Context Processing
Llms

[2512.10411] SWAA: Sliding Window Attention Adaptation for Efficient and Quality Preserving Long Context Processing

Abstract page for arXiv paper 2512.10411: SWAA: Sliding Window Attention Adaptation for Efficient and Quality Preserving Long Context Pro...

arXiv - AI · 4 min ·
[2510.12117] Locket: Robust Feature-Locking Technique for Language Models
Llms

[2510.12117] Locket: Robust Feature-Locking Technique for Language Models

Abstract page for arXiv paper 2510.12117: Locket: Robust Feature-Locking Technique for Language Models

arXiv - Machine Learning · 3 min ·
[2509.21385] Debugging Concept Bottleneck Models through Removal and Retraining
Machine Learning

[2509.21385] Debugging Concept Bottleneck Models through Removal and Retraining

Abstract page for arXiv paper 2509.21385: Debugging Concept Bottleneck Models through Removal and Retraining

arXiv - Machine Learning · 4 min ·
[2511.20721] Foundry: Distilling 3D Foundation Models for the Edge
Llms

[2511.20721] Foundry: Distilling 3D Foundation Models for the Edge

Abstract page for arXiv paper 2511.20721: Foundry: Distilling 3D Foundation Models for the Edge

arXiv - Machine Learning · 4 min ·
[2511.03255] Generative deep learning for foundational video translation in ultrasound
Machine Learning

[2511.03255] Generative deep learning for foundational video translation in ultrasound

Abstract page for arXiv paper 2511.03255: Generative deep learning for foundational video translation in ultrasound

arXiv - AI · 4 min ·
[2510.24821] Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation
Machine Learning

[2510.24821] Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation

Abstract page for arXiv paper 2510.24821: Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation

arXiv - AI · 4 min ·
[2507.16058] Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows
Machine Learning

[2507.16058] Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows

Abstract page for arXiv paper 2507.16058: Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows

arXiv - Machine Learning · 4 min ·
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