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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

[2603.03143] Geometry-Guided Reinforcement Learning for Multi-view Consistent 3D Scene Editing
Machine Learning

[2603.03143] Geometry-Guided Reinforcement Learning for Multi-view Consistent 3D Scene Editing

Abstract page for arXiv paper 2603.03143: Geometry-Guided Reinforcement Learning for Multi-view Consistent 3D Scene Editing

arXiv - AI · 4 min ·
[2603.02829] Toward Early Quality Assessment of Text-to-Image Diffusion Models
Machine Learning

[2603.02829] Toward Early Quality Assessment of Text-to-Image Diffusion Models

Abstract page for arXiv paper 2603.02829: Toward Early Quality Assessment of Text-to-Image Diffusion Models

arXiv - Machine Learning · 4 min ·
[2603.02810] ChemFlow:A Hierarchical Neural Network for Multiscale Representation Learning in Chemical Mixtures
Machine Learning

[2603.02810] ChemFlow:A Hierarchical Neural Network for Multiscale Representation Learning in Chemical Mixtures

Abstract page for arXiv paper 2603.02810: ChemFlow:A Hierarchical Neural Network for Multiscale Representation Learning in Chemical Mixtures

arXiv - Machine Learning · 4 min ·
[2603.02639] Convex and Non-convex Federated Learning with Stale Stochastic Gradients: Diminishing Step Size is All You Need
Machine Learning

[2603.02639] Convex and Non-convex Federated Learning with Stale Stochastic Gradients: Diminishing Step Size is All You Need

Abstract page for arXiv paper 2603.02639: Convex and Non-convex Federated Learning with Stale Stochastic Gradients: Diminishing Step Size...

arXiv - Machine Learning · 3 min ·
[2603.02623] Uni-Skill: Building Self-Evolving Skill Repository for Generalizable Robotic Manipulation
Llms

[2603.02623] Uni-Skill: Building Self-Evolving Skill Repository for Generalizable Robotic Manipulation

Abstract page for arXiv paper 2603.02623: Uni-Skill: Building Self-Evolving Skill Repository for Generalizable Robotic Manipulation

arXiv - Machine Learning · 4 min ·
[2603.02565] FlashEvaluator: Expanding Search Space with Parallel Evaluation
Nlp

[2603.02565] FlashEvaluator: Expanding Search Space with Parallel Evaluation

Abstract page for arXiv paper 2603.02565: FlashEvaluator: Expanding Search Space with Parallel Evaluation

arXiv - Machine Learning · 3 min ·
[2603.02594] Low-Degree Method Fails to Predict Robust Subspace Recovery
Machine Learning

[2603.02594] Low-Degree Method Fails to Predict Robust Subspace Recovery

Abstract page for arXiv paper 2603.02594: Low-Degree Method Fails to Predict Robust Subspace Recovery

arXiv - Machine Learning · 3 min ·
[2603.02816] BrandFusion: A Multi-Agent Framework for Seamless Brand Integration in Text-to-Video Generation
Machine Learning

[2603.02816] BrandFusion: A Multi-Agent Framework for Seamless Brand Integration in Text-to-Video Generation

Abstract page for arXiv paper 2603.02816: BrandFusion: A Multi-Agent Framework for Seamless Brand Integration in Text-to-Video Generation

arXiv - AI · 4 min ·
[2603.02789] OCR or Not? Rethinking Document Information Extraction in the MLLMs Era with Real-World Large-Scale Datasets
Llms

[2603.02789] OCR or Not? Rethinking Document Information Extraction in the MLLMs Era with Real-World Large-Scale Datasets

Abstract page for arXiv paper 2603.02789: OCR or Not? Rethinking Document Information Extraction in the MLLMs Era with Real-World Large-S...

arXiv - AI · 3 min ·
[2603.02460] Conformal Graph Prediction with Z-Gromov Wasserstein Distances
Nlp

[2603.02460] Conformal Graph Prediction with Z-Gromov Wasserstein Distances

Abstract page for arXiv paper 2603.02460: Conformal Graph Prediction with Z-Gromov Wasserstein Distances

arXiv - Machine Learning · 3 min ·
[2603.02745] Enhancing User Throughput in Multi-panel mmWave Radio Access Networks for Beam-based MU-MIMO Using a DRL Method
Nlp

[2603.02745] Enhancing User Throughput in Multi-panel mmWave Radio Access Networks for Beam-based MU-MIMO Using a DRL Method

Abstract page for arXiv paper 2603.02745: Enhancing User Throughput in Multi-panel mmWave Radio Access Networks for Beam-based MU-MIMO Us...

arXiv - Machine Learning · 4 min ·
[2603.02697] ShareVerse: Multi-Agent Consistent Video Generation for Shared World Modeling
Machine Learning

[2603.02697] ShareVerse: Multi-Agent Consistent Video Generation for Shared World Modeling

Abstract page for arXiv paper 2603.02697: ShareVerse: Multi-Agent Consistent Video Generation for Shared World Modeling

arXiv - AI · 3 min ·
[2603.02376] CUCo: An Agentic Framework for Compute and Communication Co-design
Llms

[2603.02376] CUCo: An Agentic Framework for Compute and Communication Co-design

Abstract page for arXiv paper 2603.02376: CUCo: An Agentic Framework for Compute and Communication Co-design

arXiv - Machine Learning · 3 min ·
[2603.02653] AlphaFree: Recommendation Free from Users, IDs, and GNNs
Nlp

[2603.02653] AlphaFree: Recommendation Free from Users, IDs, and GNNs

Abstract page for arXiv paper 2603.02653: AlphaFree: Recommendation Free from Users, IDs, and GNNs

arXiv - AI · 4 min ·
[2603.02597] GPUTOK: GPU Accelerated Byte Level BPE Tokenization
Llms

[2603.02597] GPUTOK: GPU Accelerated Byte Level BPE Tokenization

Abstract page for arXiv paper 2603.02597: GPUTOK: GPU Accelerated Byte Level BPE Tokenization

arXiv - Machine Learning · 3 min ·
[2603.02248] HELIOS: Harmonizing Early Fusion, Late Fusion, and LLM Reasoning for Multi-Granular Table-Text Retrieval
Llms

[2603.02248] HELIOS: Harmonizing Early Fusion, Late Fusion, and LLM Reasoning for Multi-Granular Table-Text Retrieval

Abstract page for arXiv paper 2603.02248: HELIOS: Harmonizing Early Fusion, Late Fusion, and LLM Reasoning for Multi-Granular Table-Text ...

arXiv - Machine Learning · 4 min ·
[2603.02547] CoDAR: Continuous Diffusion Language Models are More Powerful Than You Think
Llms

[2603.02547] CoDAR: Continuous Diffusion Language Models are More Powerful Than You Think

Abstract page for arXiv paper 2603.02547: CoDAR: Continuous Diffusion Language Models are More Powerful Than You Think

arXiv - Machine Learning · 3 min ·
[2603.02464] GLoRIA: Gated Low-Rank Interpretable Adaptation for Dialectal ASR
Machine Learning

[2603.02464] GLoRIA: Gated Low-Rank Interpretable Adaptation for Dialectal ASR

Abstract page for arXiv paper 2603.02464: GLoRIA: Gated Low-Rank Interpretable Adaptation for Dialectal ASR

arXiv - AI · 3 min ·
[2603.03227] Coalgebras for categorical deep learning: Representability and universal approximation
Machine Learning

[2603.03227] Coalgebras for categorical deep learning: Representability and universal approximation

Abstract page for arXiv paper 2603.03227: Coalgebras for categorical deep learning: Representability and universal approximation

arXiv - Machine Learning · 4 min ·
[2603.02434] MIRAGE: Knowledge Graph-Guided Cross-Cohort MRI Synthesis for Alzheimer's Disease Prediction
Machine Learning

[2603.02434] MIRAGE: Knowledge Graph-Guided Cross-Cohort MRI Synthesis for Alzheimer's Disease Prediction

Abstract page for arXiv paper 2603.02434: MIRAGE: Knowledge Graph-Guided Cross-Cohort MRI Synthesis for Alzheimer's Disease Prediction

arXiv - AI · 4 min ·
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