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Llms

[D] The problem with comparing AI memory system benchmarks — different evaluation methods make scores meaningless

I've been reviewing how various AI memory systems evaluate their performance and noticed a fundamental issue with cross-system comparison...

Reddit - Machine Learning · 1 min ·
Machine Learning

[D] I had an idea, would love your thoughts

What happens that while training an AI during pre training we make it such that if makes "misaligned behaviour" then we just reduce like ...

Reddit - Machine Learning · 1 min ·
Machine Learning

I had an idea, would love your thoughts

What happens that while training an AI during pre training we make it such that if makes "misaligned behaviour" then we just reduce like ...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2603.03135] Torus embeddings
Machine Learning

[2603.03135] Torus embeddings

Abstract page for arXiv paper 2603.03135: Torus embeddings

arXiv - Machine Learning · 3 min ·
[2603.02345] RIVA: Leveraging LLM Agents for Reliable Configuration Drift Detection
Llms

[2603.02345] RIVA: Leveraging LLM Agents for Reliable Configuration Drift Detection

Abstract page for arXiv paper 2603.02345: RIVA: Leveraging LLM Agents for Reliable Configuration Drift Detection

arXiv - AI · 4 min ·
[2603.03056] Incremental Graph Construction Enables Robust Spectral Clustering of Texts
Nlp

[2603.03056] Incremental Graph Construction Enables Robust Spectral Clustering of Texts

Abstract page for arXiv paper 2603.03056: Incremental Graph Construction Enables Robust Spectral Clustering of Texts

arXiv - Machine Learning · 3 min ·
[2603.02957] Leveraging Label Proportion Prior for Class-Imbalanced Semi-Supervised Learning
Machine Learning

[2603.02957] Leveraging Label Proportion Prior for Class-Imbalanced Semi-Supervised Learning

Abstract page for arXiv paper 2603.02957: Leveraging Label Proportion Prior for Class-Imbalanced Semi-Supervised Learning

arXiv - Machine Learning · 3 min ·
[2603.02258] Universal Conceptual Structure in Neural Translation: Probing NLLB-200's Multilingual Geometry
Machine Learning

[2603.02258] Universal Conceptual Structure in Neural Translation: Probing NLLB-200's Multilingual Geometry

Abstract page for arXiv paper 2603.02258: Universal Conceptual Structure in Neural Translation: Probing NLLB-200's Multilingual Geometry

arXiv - Machine Learning · 4 min ·
[2603.02948] Enhancing Physics-Informed Neural Networks with Domain-aware Fourier Features: Towards Improved Performance and Interpretable Results
Machine Learning

[2603.02948] Enhancing Physics-Informed Neural Networks with Domain-aware Fourier Features: Towards Improved Performance and Interpretable Results

Abstract page for arXiv paper 2603.02948: Enhancing Physics-Informed Neural Networks with Domain-aware Fourier Features: Towards Improved...

arXiv - AI · 4 min ·
[2603.02938] Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models
Llms

[2603.02938] Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models

Abstract page for arXiv paper 2603.02938: Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large L...

arXiv - AI · 4 min ·
[2603.02913] Eliciting Numerical Predictive Distributions of LLMs Without Autoregression
Llms

[2603.02913] Eliciting Numerical Predictive Distributions of LLMs Without Autoregression

Abstract page for arXiv paper 2603.02913: Eliciting Numerical Predictive Distributions of LLMs Without Autoregression

arXiv - AI · 3 min ·
[2603.02902] Distributed Dynamic Invariant Causal Prediction in Environmental Time Series
Machine Learning

[2603.02902] Distributed Dynamic Invariant Causal Prediction in Environmental Time Series

Abstract page for arXiv paper 2603.02902: Distributed Dynamic Invariant Causal Prediction in Environmental Time Series

arXiv - Machine Learning · 3 min ·
[2603.02899] Embedding interpretable $\ell_1$-regression into neural networks for uncovering temporal structure in cell imaging
Machine Learning

[2603.02899] Embedding interpretable $\ell_1$-regression into neural networks for uncovering temporal structure in cell imaging

Abstract page for arXiv paper 2603.02899: Embedding interpretable $\ell_1$-regression into neural networks for uncovering temporal struct...

arXiv - Machine Learning · 4 min ·
[2603.02765] Next Embedding Prediction Makes World Models Stronger
Machine Learning

[2603.02765] Next Embedding Prediction Makes World Models Stronger

Abstract page for arXiv paper 2603.02765: Next Embedding Prediction Makes World Models Stronger

arXiv - AI · 3 min ·
[2603.02678] Causal Learning Should Embrace the Wisdom of the Crowd
Nlp

[2603.02678] Causal Learning Should Embrace the Wisdom of the Crowd

Abstract page for arXiv paper 2603.02678: Causal Learning Should Embrace the Wisdom of the Crowd

arXiv - Machine Learning · 4 min ·
[2603.02212] GLEAN: Grounded Lightweight Evaluation Anchors for Contamination-Aware Tabular Reasoning
Machine Learning

[2603.02212] GLEAN: Grounded Lightweight Evaluation Anchors for Contamination-Aware Tabular Reasoning

Abstract page for arXiv paper 2603.02212: GLEAN: Grounded Lightweight Evaluation Anchors for Contamination-Aware Tabular Reasoning

arXiv - AI · 3 min ·
[2603.03212] NeuroSkill(tm): Proactive Real-Time Agentic System Capable of Modeling Human State of Mind
Machine Learning

[2603.03212] NeuroSkill(tm): Proactive Real-Time Agentic System Capable of Modeling Human State of Mind

Abstract page for arXiv paper 2603.03212: NeuroSkill(tm): Proactive Real-Time Agentic System Capable of Modeling Human State of Mind

arXiv - AI · 3 min ·
[2603.02613] Real-Time Generative Policy via Langevin-Guided Flow Matching for Autonomous Driving
Machine Learning

[2603.02613] Real-Time Generative Policy via Langevin-Guided Flow Matching for Autonomous Driving

Abstract page for arXiv paper 2603.02613: Real-Time Generative Policy via Langevin-Guided Flow Matching for Autonomous Driving

arXiv - Machine Learning · 4 min ·
[2603.03176] FEAST: Retrieval-Augmented Multi-Hierarchical Food Classification for the FoodEx2 System
Machine Learning

[2603.03176] FEAST: Retrieval-Augmented Multi-Hierarchical Food Classification for the FoodEx2 System

Abstract page for arXiv paper 2603.03176: FEAST: Retrieval-Augmented Multi-Hierarchical Food Classification for the FoodEx2 System

arXiv - AI · 4 min ·
[2603.03175] Saarthi for AGI: Towards Domain-Specific General Intelligence for Formal Verification
Llms

[2603.03175] Saarthi for AGI: Towards Domain-Specific General Intelligence for Formal Verification

Abstract page for arXiv paper 2603.03175: Saarthi for AGI: Towards Domain-Specific General Intelligence for Formal Verification

arXiv - AI · 4 min ·
[2603.03147] Agentic AI-based Coverage Closure for Formal Verification
Llms

[2603.03147] Agentic AI-based Coverage Closure for Formal Verification

Abstract page for arXiv paper 2603.03147: Agentic AI-based Coverage Closure for Formal Verification

arXiv - AI · 3 min ·
[2603.02525] Thermodynamic Regulation of Finite-Time Gibbs Training in Energy-Based Models: A Restricted Boltzmann Machine Study
Machine Learning

[2603.02525] Thermodynamic Regulation of Finite-Time Gibbs Training in Energy-Based Models: A Restricted Boltzmann Machine Study

Abstract page for arXiv paper 2603.02525: Thermodynamic Regulation of Finite-Time Gibbs Training in Energy-Based Models: A Restricted Bol...

arXiv - Machine Learning · 4 min ·
[2603.03097] Odin: Multi-Signal Graph Intelligence for Autonomous Discovery in Knowledge Graphs
Nlp

[2603.03097] Odin: Multi-Signal Graph Intelligence for Autonomous Discovery in Knowledge Graphs

Abstract page for arXiv paper 2603.03097: Odin: Multi-Signal Graph Intelligence for Autonomous Discovery in Knowledge Graphs

arXiv - AI · 4 min ·
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