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Machine Learning

[R] Fine-tuning services report

If you have some data and want to train or run a small custom model but don't have powerful enough hardware for training, fine-tuning ser...

Reddit - Machine Learning · 1 min ·
Machine Learning

The AI Chip War is Just Getting Started

Everyone talks about AI models, but the real bottleneck might be hardware. According to a recent study by Roots Analysis: AI chip market ...

Reddit - Artificial Intelligence · 1 min ·
UMKC Announces New Master of Science in Artificial Intelligence
Ai Infrastructure

UMKC Announces New Master of Science in Artificial Intelligence

UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...

AI News - General · 4 min ·

All Content

[2603.02266] When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning
Llms

[2603.02266] When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning

Abstract page for arXiv paper 2603.02266: When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware ...

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 ·
[2603.02731] Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs
Machine Learning

[2603.02731] Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs

Abstract page for arXiv paper 2603.02731: Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs

arXiv - AI · 4 min ·
[2603.02719] An Empirical Analysis of Calibration and Selective Prediction in Multimodal Clinical Condition Classification
Machine Learning

[2603.02719] An Empirical Analysis of Calibration and Selective Prediction in Multimodal Clinical Condition Classification

Abstract page for arXiv paper 2603.02719: An Empirical Analysis of Calibration and Selective Prediction in Multimodal Clinical Condition ...

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 ·
[2603.02650] Improving Diffusion Planners by Self-Supervised Action Gating with Energies
Machine Learning

[2603.02650] Improving Diffusion Planners by Self-Supervised Action Gating with Energies

Abstract page for arXiv paper 2603.02650: Improving Diffusion Planners by Self-Supervised Action Gating with Energies

arXiv - AI · 3 min ·
[2603.03258] Inherited Goal Drift: Contextual Pressure Can Undermine Agentic Goals
Llms

[2603.03258] Inherited Goal Drift: Contextual Pressure Can Undermine Agentic Goals

Abstract page for arXiv paper 2603.03258: Inherited Goal Drift: Contextual Pressure Can Undermine Agentic Goals

arXiv - AI · 4 min ·
[2603.02633] Robust Heterogeneous Analog-Digital Computing for Mixture-of-Experts Models with Theoretical Generalization Guarantees
Machine Learning

[2603.02633] Robust Heterogeneous Analog-Digital Computing for Mixture-of-Experts Models with Theoretical Generalization Guarantees

Abstract page for arXiv paper 2603.02633: Robust Heterogeneous Analog-Digital Computing for Mixture-of-Experts Models with Theoretical Ge...

arXiv - AI · 4 min ·
[2603.02630] MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks
Llms

[2603.02630] MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks

Abstract page for arXiv paper 2603.02630: MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks

arXiv - AI · 4 min ·
[2603.03203] No Memorization, No Detection: Output Distribution-Based Contamination Detection in Small Language Models
Llms

[2603.03203] No Memorization, No Detection: Output Distribution-Based Contamination Detection in Small Language Models

Abstract page for arXiv paper 2603.03203: No Memorization, No Detection: Output Distribution-Based Contamination Detection in Small Langu...

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 ·
[2603.02604] Heterogeneous Agent Collaborative Reinforcement Learning
Llms

[2603.02604] Heterogeneous Agent Collaborative Reinforcement Learning

Abstract page for arXiv paper 2603.02604: Heterogeneous Agent Collaborative Reinforcement Learning

arXiv - Machine Learning · 3 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 ·
[2603.02579] Joint Optimization of Model Partitioning and Resource Allocation for Anti-Jamming Collaborative Inference Systems
Machine Learning

[2603.02579] Joint Optimization of Model Partitioning and Resource Allocation for Anti-Jamming Collaborative Inference Systems

Abstract page for arXiv paper 2603.02579: Joint Optimization of Model Partitioning and Resource Allocation for Anti-Jamming Collaborative...

arXiv - Machine Learning · 4 min ·
[2603.03119] AI Space Physics: Constitutive boundary semantics for open AI institutions
Machine Learning

[2603.03119] AI Space Physics: Constitutive boundary semantics for open AI institutions

Abstract page for arXiv paper 2603.03119: AI Space Physics: Constitutive boundary semantics for open AI institutions

arXiv - AI · 4 min ·
[2603.02531] Bridging Diffusion Guidance and Anderson Acceleration via Hopfield Dynamics
Machine Learning

[2603.02531] Bridging Diffusion Guidance and Anderson Acceleration via Hopfield Dynamics

Abstract page for arXiv paper 2603.02531: Bridging Diffusion Guidance and Anderson Acceleration via Hopfield Dynamics

arXiv - AI · 3 min ·
[2603.03078] RAPO: Expanding Exploration for LLM Agents via Retrieval-Augmented Policy Optimization
Llms

[2603.03078] RAPO: Expanding Exploration for LLM Agents via Retrieval-Augmented Policy Optimization

Abstract page for arXiv paper 2603.03078: RAPO: Expanding Exploration for LLM Agents via Retrieval-Augmented Policy Optimization

arXiv - AI · 4 min ·
[2603.02798] Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification
Llms

[2603.02798] Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification

Abstract page for arXiv paper 2603.02798: Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification

arXiv - AI · 3 min ·
[2603.02349] Learning graph topology from metapopulation epidemic encoder-decoder
Machine Learning

[2603.02349] Learning graph topology from metapopulation epidemic encoder-decoder

Abstract page for arXiv paper 2603.02349: Learning graph topology from metapopulation epidemic encoder-decoder

arXiv - Machine Learning · 3 min ·
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