How is the AI/ML job market actually evolving right now (especially for Germany)?
I’ve been looking into AI/ML jobs especially in Germany and I want to cut through the noise. For those working in the field what roles ar...
ML algorithms, training, and inference
I’ve been looking into AI/ML jobs especially in Germany and I want to cut through the noise. For those working in the field what roles ar...
I spent the past year implementing five LLM architectures from scratch in PyTorch and wrote a book documenting the process. What's covere...
Writeup documenting 5 psychological manipulation experiments on LLMs (GPT-4, GPT-4o, Claude 3.5 Sonnet) from 2023-2024. Each case applies...
Abstract page for arXiv paper 2603.27360: Defend: Automated Rebuttals for Peer Review with Minimal Author Guidance
Abstract page for arXiv paper 2603.27343: Beyond Completion: Probing Cumulative State Tracking to Predict LLM Agent Performance
Abstract page for arXiv paper 2603.27338: CounterMoral: Editing Morals in Language Models
Abstract page for arXiv paper 2603.27314: TokenDance: Token-to-Token Music-to-Dance Generation with Bidirectional Mamba
Abstract page for arXiv paper 2603.27304: EpochX: Building the Infrastructure for an Emergent Agent Civilization
Abstract page for arXiv paper 2603.27150: MediHive: A Decentralized Agent Collective for Medical Reasoning
Abstract page for arXiv paper 2603.27270: Quantification of Credal Uncertainty: A Distance-Based Approach
Abstract page for arXiv paper 2603.27195: AutoMS: Multi-Agent Evolutionary Search for Cross-Physics Inverse Microstructure Design
Abstract page for arXiv paper 2603.27169: Aligning LLMs with Graph Neural Solvers for Combinatorial Optimization
Abstract page for arXiv paper 2603.27164: daVinci-LLM:Towards the Science of Pretraining
Abstract page for arXiv paper 2603.27076: When Verification Hurts: Asymmetric Effects of Multi-Agent Feedback in Logic Proof Tutoring
Abstract page for arXiv paper 2603.26765: Bitboard version of Tetris AI
Abstract page for arXiv paper 2603.26944: Neuro-Symbolic Learning for Predictive Process Monitoring via Two-Stage Logic Tensor Networks w...
Abstract page for arXiv paper 2603.18532: Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds
Abstract page for arXiv paper 2603.12702: FGTR: Fine-Grained Multi-Table Retrieval via Hierarchical LLM Reasoning
Abstract page for arXiv paper 2603.09645: Noise in Photonic Quantum Machine Learning: Models, Impacts, and Mitigation Strategies
Abstract page for arXiv paper 2602.04361: SparVAR: Exploring Sparsity in Visual AutoRegressive Modeling for Training-Free Acceleration
Abstract page for arXiv paper 2601.18857: Statistical Inference for Explainable Boosting Machines
Abstract page for arXiv paper 2601.16771: AutoRegressive Generation with B-rep Holistic Token Sequence Representation
Abstract page for arXiv paper 2601.06853: †DAGGER: Distractor-Aware Graph Generation for Executable Reasoning in Math Problems
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