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Llms

[For Hire] Junior AI/ML Engineer | RAG · LLMs · FastAPI · Vector DBs | Remote

Posting this for a friend who isn't on Reddit. A recent graduate, entry level, no commercial production experience but spent the past yea...

Reddit - ML Jobs · 1 min ·
Llms

Agents Can Now Propose and Deploy Their Own Code Changes

150 clones yesterday. 43 stars in 3 days. Every agent framework you've used (LangChain, LangGraph, Claude Code) assumes agents are tools ...

Reddit - Artificial Intelligence · 1 min ·
[2603.17839] How do LLMs Compute Verbal Confidence
Llms

[2603.17839] How do LLMs Compute Verbal Confidence

Abstract page for arXiv paper 2603.17839: How do LLMs Compute Verbal Confidence

arXiv - AI · 4 min ·

All Content

[2603.00997] DWAFM: Dynamic Weighted Graph Structure Embedding Integrated with Attention and Frequency-Domain MLPs for Traffic Forecasting
Machine Learning

[2603.00997] DWAFM: Dynamic Weighted Graph Structure Embedding Integrated with Attention and Frequency-Domain MLPs for Traffic Forecasting

Abstract page for arXiv paper 2603.00997: DWAFM: Dynamic Weighted Graph Structure Embedding Integrated with Attention and Frequency-Domai...

arXiv - Machine Learning · 4 min ·
[2603.00870] PPC-MT: Parallel Point Cloud Completion with Mamba-Transformer Hybrid Architecture
Machine Learning

[2603.00870] PPC-MT: Parallel Point Cloud Completion with Mamba-Transformer Hybrid Architecture

Abstract page for arXiv paper 2603.00870: PPC-MT: Parallel Point Cloud Completion with Mamba-Transformer Hybrid Architecture

arXiv - AI · 3 min ·
[2603.00888] Probabilistic Learning and Generation in Deep Sequence Models
Machine Learning

[2603.00888] Probabilistic Learning and Generation in Deep Sequence Models

Abstract page for arXiv paper 2603.00888: Probabilistic Learning and Generation in Deep Sequence Models

arXiv - Machine Learning · 4 min ·
[2603.00822] ContextCov: Deriving and Enforcing Executable Constraints from Agent Instruction Files
Llms

[2603.00822] ContextCov: Deriving and Enforcing Executable Constraints from Agent Instruction Files

Abstract page for arXiv paper 2603.00822: ContextCov: Deriving and Enforcing Executable Constraints from Agent Instruction Files

arXiv - AI · 3 min ·
[2603.00694] Wild-Drive: Off-Road Scene Captioning and Path Planning via Robust Multi-modal Routing and Efficient Large Language Model
Llms

[2603.00694] Wild-Drive: Off-Road Scene Captioning and Path Planning via Robust Multi-modal Routing and Efficient Large Language Model

Abstract page for arXiv paper 2603.00694: Wild-Drive: Off-Road Scene Captioning and Path Planning via Robust Multi-modal Routing and Effi...

arXiv - AI · 4 min ·
[2603.00589] AlignVAR: Towards Globally Consistent Visual Autoregression for Image Super-Resolution
Machine Learning

[2603.00589] AlignVAR: Towards Globally Consistent Visual Autoregression for Image Super-Resolution

Abstract page for arXiv paper 2603.00589: AlignVAR: Towards Globally Consistent Visual Autoregression for Image Super-Resolution

arXiv - AI · 4 min ·
[2603.00588] Energy-Efficient Information Representation in MNIST Classification Using Biologically Inspired Learning
Llms

[2603.00588] Energy-Efficient Information Representation in MNIST Classification Using Biologically Inspired Learning

Abstract page for arXiv paper 2603.00588: Energy-Efficient Information Representation in MNIST Classification Using Biologically Inspired...

arXiv - Machine Learning · 4 min ·
[2603.00541] Spectral Condition for $μ$P under Width-Depth Scaling
Llms

[2603.00541] Spectral Condition for $μ$P under Width-Depth Scaling

Abstract page for arXiv paper 2603.00541: Spectral Condition for $μ$P under Width-Depth Scaling

arXiv - Machine Learning · 4 min ·
[2603.00510] What Do Visual Tokens Really Encode? Uncovering Sparsity and Redundancy in Multimodal Large Language Models
Llms

[2603.00510] What Do Visual Tokens Really Encode? Uncovering Sparsity and Redundancy in Multimodal Large Language Models

Abstract page for arXiv paper 2603.00510: What Do Visual Tokens Really Encode? Uncovering Sparsity and Redundancy in Multimodal Large Lan...

arXiv - AI · 4 min ·
[2603.00492] ArtiFixer: Enhancing and Extending 3D Reconstruction with Auto-Regressive Diffusion Models
Machine Learning

[2603.00492] ArtiFixer: Enhancing and Extending 3D Reconstruction with Auto-Regressive Diffusion Models

Abstract page for arXiv paper 2603.00492: ArtiFixer: Enhancing and Extending 3D Reconstruction with Auto-Regressive Diffusion Models

arXiv - Machine Learning · 4 min ·
[2603.00462] OPGAgent: An Agent for Auditable Dental Panoramic X-ray Interpretation
Llms

[2603.00462] OPGAgent: An Agent for Auditable Dental Panoramic X-ray Interpretation

Abstract page for arXiv paper 2603.00462: OPGAgent: An Agent for Auditable Dental Panoramic X-ray Interpretation

arXiv - AI · 4 min ·
[2603.00491] Heaviside Low-Rank Support Matrix Machine
Machine Learning

[2603.00491] Heaviside Low-Rank Support Matrix Machine

Abstract page for arXiv paper 2603.00491: Heaviside Low-Rank Support Matrix Machine

arXiv - Machine Learning · 3 min ·
[2603.00436] ROKA: Robust Knowledge Unlearning against Adversaries
Machine Learning

[2603.00436] ROKA: Robust Knowledge Unlearning against Adversaries

Abstract page for arXiv paper 2603.00436: ROKA: Robust Knowledge Unlearning against Adversaries

arXiv - Machine Learning · 4 min ·
[2603.00417] Physics-Aware Learnability: From Set-Theoretic Independence to Operational Constraints
Machine Learning

[2603.00417] Physics-Aware Learnability: From Set-Theoretic Independence to Operational Constraints

Abstract page for arXiv paper 2603.00417: Physics-Aware Learnability: From Set-Theoretic Independence to Operational Constraints

arXiv - Machine Learning · 3 min ·
[2603.00416] MuonRec: Shifting the Optimizer Paradigm Beyond Adam in Scalable Generative Recommendation
Machine Learning

[2603.00416] MuonRec: Shifting the Optimizer Paradigm Beyond Adam in Scalable Generative Recommendation

Abstract page for arXiv paper 2603.00416: MuonRec: Shifting the Optimizer Paradigm Beyond Adam in Scalable Generative Recommendation

arXiv - AI · 4 min ·
[2603.00396] Hereditary Geometric Meta-RL: Nonlocal Generalization via Task Symmetries
Machine Learning

[2603.00396] Hereditary Geometric Meta-RL: Nonlocal Generalization via Task Symmetries

Abstract page for arXiv paper 2603.00396: Hereditary Geometric Meta-RL: Nonlocal Generalization via Task Symmetries

arXiv - Machine Learning · 4 min ·
[2603.00290] Scalable Gaussian process modeling of parametrized spatio-temporal fields
Machine Learning

[2603.00290] Scalable Gaussian process modeling of parametrized spatio-temporal fields

Abstract page for arXiv paper 2603.00290: Scalable Gaussian process modeling of parametrized spatio-temporal fields

arXiv - Machine Learning · 3 min ·
[2603.00206] TACIT Benchmark: A Programmatic Visual Reasoning Benchmark for Generative and Discriminative Models
Llms

[2603.00206] TACIT Benchmark: A Programmatic Visual Reasoning Benchmark for Generative and Discriminative Models

Abstract page for arXiv paper 2603.00206: TACIT Benchmark: A Programmatic Visual Reasoning Benchmark for Generative and Discriminative Mo...

arXiv - AI · 3 min ·
[2603.00105] LIDS: LLM Summary Inference Under the Layered Lens
Llms

[2603.00105] LIDS: LLM Summary Inference Under the Layered Lens

Abstract page for arXiv paper 2603.00105: LIDS: LLM Summary Inference Under the Layered Lens

arXiv - Machine Learning · 4 min ·
[2603.00194] SKeDA: A Generative Watermarking Framework for Text-to-video Diffusion Models
Machine Learning

[2603.00194] SKeDA: A Generative Watermarking Framework for Text-to-video Diffusion Models

Abstract page for arXiv paper 2603.00194: SKeDA: A Generative Watermarking Framework for Text-to-video Diffusion Models

arXiv - AI · 4 min ·
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