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Machine Learning

[D] Looking for definition of open-world ish learning problem

Hello! Recently I did a project where I initially had around 30 target classes. But at inference, the model had to be able to handle a lo...

Reddit - Machine Learning · 1 min ·
[2603.11687] SemBench: A Universal Semantic Framework for LLM Evaluation
Llms

[2603.11687] SemBench: A Universal Semantic Framework for LLM Evaluation

Abstract page for arXiv paper 2603.11687: SemBench: A Universal Semantic Framework for LLM Evaluation

arXiv - AI · 4 min ·
[2603.11583] UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization
Llms

[2603.11583] UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization

Abstract page for arXiv paper 2603.11583: UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization

arXiv - AI · 3 min ·

All Content

[2603.25283] A Gait Foundation Model Predicts Multi-System Health Phenotypes from 3D Skeletal Motion
Llms

[2603.25283] A Gait Foundation Model Predicts Multi-System Health Phenotypes from 3D Skeletal Motion

Abstract page for arXiv paper 2603.25283: A Gait Foundation Model Predicts Multi-System Health Phenotypes from 3D Skeletal Motion

arXiv - AI · 3 min ·
[2603.25158] Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills
Llms

[2603.25158] Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Abstract page for arXiv paper 2603.25158: Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

arXiv - AI · 4 min ·
[2603.25152] UniAI-GraphRAG: Synergizing Ontology-Guided Extraction, Multi-Dimensional Clustering, and Dual-Channel Fusion for Robust Multi-Hop Reasoning
Nlp

[2603.25152] UniAI-GraphRAG: Synergizing Ontology-Guided Extraction, Multi-Dimensional Clustering, and Dual-Channel Fusion for Robust Multi-Hop Reasoning

Abstract page for arXiv paper 2603.25152: UniAI-GraphRAG: Synergizing Ontology-Guided Extraction, Multi-Dimensional Clustering, and Dual-...

arXiv - AI · 3 min ·
[2603.25097] ElephantBroker: A Knowledge-Grounded Cognitive Runtime for Trustworthy AI Agents
Llms

[2603.25097] ElephantBroker: A Knowledge-Grounded Cognitive Runtime for Trustworthy AI Agents

Abstract page for arXiv paper 2603.25097: ElephantBroker: A Knowledge-Grounded Cognitive Runtime for Trustworthy AI Agents

arXiv - AI · 4 min ·
[2603.24961] Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math
Llms

[2603.24961] Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math

Abstract page for arXiv paper 2603.24961: Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math

arXiv - AI · 4 min ·
[2603.24853] Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts
Machine Learning

[2603.24853] Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts

Abstract page for arXiv paper 2603.24853: Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts

arXiv - AI · 4 min ·
[2603.24736] AutoSAM: an Agentic Framework for Automating Input File Generation for the SAM Code with Multi-Modal Retrieval-Augmented Generation
Nlp

[2603.24736] AutoSAM: an Agentic Framework for Automating Input File Generation for the SAM Code with Multi-Modal Retrieval-Augmented Generation

Abstract page for arXiv paper 2603.24736: AutoSAM: an Agentic Framework for Automating Input File Generation for the SAM Code with Multi-...

arXiv - Machine Learning · 4 min ·
Llms

Reducing AI agent token consumption by 90% by fixing the retrieval layer

Quick insight from building retrieval infrastructure for AI agents: Most agents stuff 50,000 tokens of context into every prompt. They re...

Reddit - Artificial Intelligence · 1 min ·
Conntour raises $7M from General Catalyst, YC to build an AI search engine for security video systems | TechCrunch
Machine Learning

Conntour raises $7M from General Catalyst, YC to build an AI search engine for security video systems | TechCrunch

Conntour uses AI models to let security teams query camera feeds using natural language to find any object, person, or situation.

TechCrunch - AI · 6 min ·
Are high gas prices good news for EVs? It’s complicated. | MIT Technology Review
Nlp

Are high gas prices good news for EVs? It’s complicated. | MIT Technology Review

Fossil fuel volatility can have ripple effects for all of us.

MIT Technology Review · 5 min ·
The snow gods: How a couple of ski bums built the internet’s best weather app | MIT Technology Review
Machine Learning

The snow gods: How a couple of ski bums built the internet’s best weather app | MIT Technology Review

The best snow-forecasting app for skiers and snowboarders isn’t from any of the federally funded weather services. Nor from any of the bi...

MIT Technology Review · 20 min ·
[2509.03394] CloudFormer: An Attention-based Performance Prediction for Public Clouds with Unknown Workload
Nlp

[2509.03394] CloudFormer: An Attention-based Performance Prediction for Public Clouds with Unknown Workload

Abstract page for arXiv paper 2509.03394: CloudFormer: An Attention-based Performance Prediction for Public Clouds with Unknown Workload

arXiv - Machine Learning · 4 min ·
[2502.10328] Accelerated Parallel Tempering via Neural Transports
Nlp

[2502.10328] Accelerated Parallel Tempering via Neural Transports

Abstract page for arXiv paper 2502.10328: Accelerated Parallel Tempering via Neural Transports

arXiv - Machine Learning · 4 min ·
[2506.20334] Recurrent neural network-based robust control systems with regional properties and application to MPC design
Machine Learning

[2506.20334] Recurrent neural network-based robust control systems with regional properties and application to MPC design

Abstract page for arXiv paper 2506.20334: Recurrent neural network-based robust control systems with regional properties and application ...

arXiv - Machine Learning · 4 min ·
[2502.00645] General Coded Computing in a Probabilistic Straggler Regime
Nlp

[2502.00645] General Coded Computing in a Probabilistic Straggler Regime

Abstract page for arXiv paper 2502.00645: General Coded Computing in a Probabilistic Straggler Regime

arXiv - Machine Learning · 4 min ·
[2511.18789] Perturbing the Derivative: Doubly Wild Refitting for Model-Free Evaluation of Opaque Machine Learning Predictors
Machine Learning

[2511.18789] Perturbing the Derivative: Doubly Wild Refitting for Model-Free Evaluation of Opaque Machine Learning Predictors

Abstract page for arXiv paper 2511.18789: Perturbing the Derivative: Doubly Wild Refitting for Model-Free Evaluation of Opaque Machine Le...

arXiv - Machine Learning · 4 min ·
[2511.06767] QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common Patterns in Nonlinear Operations
Machine Learning

[2511.06767] QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common Patterns in Nonlinear Operations

Abstract page for arXiv paper 2511.06767: QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common P...

arXiv - Machine Learning · 4 min ·
[2511.04854] SigmaDock: Untwisting Molecular Docking With Fragment-Based SE(3) Diffusion
Generative Ai

[2511.04854] SigmaDock: Untwisting Molecular Docking With Fragment-Based SE(3) Diffusion

Abstract page for arXiv paper 2511.04854: SigmaDock: Untwisting Molecular Docking With Fragment-Based SE(3) Diffusion

arXiv - Machine Learning · 4 min ·
[2510.00430] PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment
Machine Learning

[2510.00430] PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment

Abstract page for arXiv paper 2510.00430: PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment

arXiv - Machine Learning · 4 min ·
[2509.14181] Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting
Nlp

[2509.14181] Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting

Abstract page for arXiv paper 2509.14181: Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting

arXiv - Machine Learning · 4 min ·
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