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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 ·

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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 ·
[2512.05245] STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology-Informed Semantic Embeddings
Machine Learning

[2512.05245] STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology-Informed Semantic Embeddings

Abstract page for arXiv paper 2512.05245: STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology...

arXiv - Machine Learning · 4 min ·
[2511.14427] Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning
Machine Learning

[2511.14427] Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning

Abstract page for arXiv paper 2511.14427: Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning

arXiv - Machine Learning · 4 min ·
[2512.00939] Constant-Time Motion Planning with Manipulation Behaviors
Nlp

[2512.00939] Constant-Time Motion Planning with Manipulation Behaviors

Abstract page for arXiv paper 2512.00939: Constant-Time Motion Planning with Manipulation Behaviors

arXiv - AI · 4 min ·
[2512.00804] Epistemic Bias Injection: Biasing LLMs via Selective Context Retrieval
Llms

[2512.00804] Epistemic Bias Injection: Biasing LLMs via Selective Context Retrieval

Abstract page for arXiv paper 2512.00804: Epistemic Bias Injection: Biasing LLMs via Selective Context Retrieval

arXiv - AI · 4 min ·
[2510.10415] CQA-Eval: Designing Reliable Evaluations of Multi-paragraph Clinical QA under Resource Constraints
Nlp

[2510.10415] CQA-Eval: Designing Reliable Evaluations of Multi-paragraph Clinical QA under Resource Constraints

Abstract page for arXiv paper 2510.10415: CQA-Eval: Designing Reliable Evaluations of Multi-paragraph Clinical QA under Resource Constraints

arXiv - AI · 3 min ·
[2505.21545] Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation
Machine Learning

[2505.21545] Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation

Abstract page for arXiv paper 2505.21545: Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation

arXiv - Machine Learning · 4 min ·
[2507.20423] CodeNER: Code Prompting for Named Entity Recognition
Llms

[2507.20423] CodeNER: Code Prompting for Named Entity Recognition

Abstract page for arXiv paper 2507.20423: CodeNER: Code Prompting for Named Entity Recognition

arXiv - AI · 4 min ·
[2410.12476] Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation
Llms

[2410.12476] Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation

Abstract page for arXiv paper 2410.12476: Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation

arXiv - Machine Learning · 4 min ·
[2506.14861] BMFM-RNA: whole-cell expression decoding improves transcriptomic foundation models
Llms

[2506.14861] BMFM-RNA: whole-cell expression decoding improves transcriptomic foundation models

Abstract page for arXiv paper 2506.14861: BMFM-RNA: whole-cell expression decoding improves transcriptomic foundation models

arXiv - AI · 4 min ·
[2502.05228] Physics-Informed Evolution: An Evolutionary Framework for Solving Quantum Control Problems Involving the Schrödinger Equation
Machine Learning

[2502.05228] Physics-Informed Evolution: An Evolutionary Framework for Solving Quantum Control Problems Involving the Schrödinger Equation

Abstract page for arXiv paper 2502.05228: Physics-Informed Evolution: An Evolutionary Framework for Solving Quantum Control Problems Invo...

arXiv - AI · 4 min ·
[2410.15281] LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends
Llms

[2410.15281] LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends

Abstract page for arXiv paper 2410.15281: LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments...

arXiv - AI · 4 min ·
[2602.00079] Embedding Compression via Spherical Coordinates
Nlp

[2602.00079] Embedding Compression via Spherical Coordinates

Abstract page for arXiv paper 2602.00079: Embedding Compression via Spherical Coordinates

arXiv - Machine Learning · 3 min ·
[2601.02856] Electricity Price Forecasting: Bridging Linear Models, Neural Networks and Online Learning
Machine Learning

[2601.02856] Electricity Price Forecasting: Bridging Linear Models, Neural Networks and Online Learning

Abstract page for arXiv paper 2601.02856: Electricity Price Forecasting: Bridging Linear Models, Neural Networks and Online Learning

arXiv - Machine Learning · 4 min ·
[2509.23768] From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning
Llms

[2509.23768] From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning

Abstract page for arXiv paper 2509.23768: From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning

arXiv - AI · 3 min ·
[2411.01029] Semi-Strongly solved: a New Definition Leading Computer to Perfect Gameplay
Nlp

[2411.01029] Semi-Strongly solved: a New Definition Leading Computer to Perfect Gameplay

Abstract page for arXiv paper 2411.01029: Semi-Strongly solved: a New Definition Leading Computer to Perfect Gameplay

arXiv - AI · 4 min ·
[2511.14961] Graph Memory: A Structured and Interpretable Framework for Modality-Agnostic Embedding-Based Inference
Machine Learning

[2511.14961] Graph Memory: A Structured and Interpretable Framework for Modality-Agnostic Embedding-Based Inference

Abstract page for arXiv paper 2511.14961: Graph Memory: A Structured and Interpretable Framework for Modality-Agnostic Embedding-Based In...

arXiv - Machine Learning · 4 min ·
[2603.25741] Vega: Learning to Drive with Natural Language Instructions
Machine Learning

[2603.25741] Vega: Learning to Drive with Natural Language Instructions

Abstract page for arXiv paper 2603.25741: Vega: Learning to Drive with Natural Language Instructions

arXiv - AI · 3 min ·
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