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Yupp shuts down after raising $33M from a16z crypto's Chris Dixon | TechCrunch
Machine Learning

Yupp shuts down after raising $33M from a16z crypto's Chris Dixon | TechCrunch

Less than a year after launching, with checks from some of the biggest names in Silicon Valley, crowdsourced AI model feedback startup Yu...

TechCrunch - AI · 4 min ·
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

[D] Does ML have a "bible"/reference textbook at the Intermediate/Advanced level?

Hello, everyone! This is my first time posting here and I apologise if the question is, perhaps, a bit too basic for this sub-reddit. A b...

Reddit - Machine Learning · 1 min ·

All Content

[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 ·
[2506.13734] Instruction Following by Principled Boosting Attention of Large Language Models
Llms

[2506.13734] Instruction Following by Principled Boosting Attention of Large Language Models

Abstract page for arXiv paper 2506.13734: Instruction Following by Principled Boosting Attention of Large Language Models

arXiv - Machine Learning · 4 min ·
[2506.12104] DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents
Llms

[2506.12104] DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents

Abstract page for arXiv paper 2506.12104: DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents

arXiv - AI · 4 min ·
[2505.24840] The LLM Bottleneck: Why Open-Source Vision LLMs Struggle with Hierarchical Visual Recognition
Llms

[2505.24840] The LLM Bottleneck: Why Open-Source Vision LLMs Struggle with Hierarchical Visual Recognition

Abstract page for arXiv paper 2505.24840: The LLM Bottleneck: Why Open-Source Vision LLMs Struggle with Hierarchical Visual Recognition

arXiv - Machine Learning · 3 min ·
[2306.04810] Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
Machine Learning

[2306.04810] Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry

Abstract page for arXiv paper 2306.04810: Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neur...

arXiv - Machine Learning · 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 ·
[2006.09534] Discriminative reconstruction via simultaneous dense and sparse coding
Machine Learning

[2006.09534] Discriminative reconstruction via simultaneous dense and sparse coding

Abstract page for arXiv paper 2006.09534: Discriminative reconstruction via simultaneous dense and sparse coding

arXiv - Machine Learning · 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 ·
[2410.10700] LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts
Llms

[2410.10700] LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts

Abstract page for arXiv paper 2410.10700: LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts

arXiv - AI · 4 min ·
[2408.13366] CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers
Llms

[2408.13366] CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers

Abstract page for arXiv paper 2408.13366: CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers

arXiv - Machine Learning · 3 min ·
[2404.05290] MindSet: Vision. A toolbox for testing DNNs on key psychological experiments
Machine Learning

[2404.05290] MindSet: Vision. A toolbox for testing DNNs on key psychological experiments

Abstract page for arXiv paper 2404.05290: MindSet: Vision. A toolbox for testing DNNs on key psychological experiments

arXiv - AI · 4 min ·
[2401.11605] Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers
Machine Learning

[2401.11605] Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers

Abstract page for arXiv paper 2401.11605: Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers

arXiv - Machine Learning · 3 min ·
[2402.12760] A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis
Machine Learning

[2402.12760] A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis

Abstract page for arXiv paper 2402.12760: A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis

arXiv - AI · 4 min ·
[2603.19091] Position: Spectral GNNs Are Neither Spectral Nor Superior for Node Classification
Machine Learning

[2603.19091] Position: Spectral GNNs Are Neither Spectral Nor Superior for Node Classification

Abstract page for arXiv paper 2603.19091: Position: Spectral GNNs Are Neither Spectral Nor Superior for Node Classification

arXiv - Machine Learning · 4 min ·
[2603.24402] AI-Supervisor: Autonomous AI Research Supervision via a Persistent Research World Model
Machine Learning

[2603.24402] AI-Supervisor: Autonomous AI Research Supervision via a Persistent Research World Model

Abstract page for arXiv paper 2603.24402: AI-Supervisor: Autonomous AI Research Supervision via a Persistent Research World Model

arXiv - AI · 4 min ·
[2603.16951] Minimum-Action Learning: Energy-Constrained Symbolic Model Selection for Physical Law Identification from Noisy Data
Machine Learning

[2603.16951] Minimum-Action Learning: Energy-Constrained Symbolic Model Selection for Physical Law Identification from Noisy Data

Abstract page for arXiv paper 2603.16951: Minimum-Action Learning: Energy-Constrained Symbolic Model Selection for Physical Law Identific...

arXiv - Machine Learning · 4 min ·
[2603.23610] Environment Maps: Structured Environmental Representations for Long-Horizon Agents
Llms

[2603.23610] Environment Maps: Structured Environmental Representations for Long-Horizon Agents

Abstract page for arXiv paper 2603.23610: Environment Maps: Structured Environmental Representations for Long-Horizon Agents

arXiv - AI · 4 min ·
[2601.21747] Temporal Sepsis Modeling: a Fully Interpretable Relational Way
Machine Learning

[2601.21747] Temporal Sepsis Modeling: a Fully Interpretable Relational Way

Abstract page for arXiv paper 2601.21747: Temporal Sepsis Modeling: a Fully Interpretable Relational Way

arXiv - AI · 3 min ·
[2603.08561] RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback
Llms

[2603.08561] RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback

Abstract page for arXiv paper 2603.08561: RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback

arXiv - AI · 4 min ·
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