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ArXiv

Online archive of e-prints

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4 news mentions · 👍 0 likes · 👎 0 dislikes

📌 Topics

Artificial Intelligence (4)
Machine Learning (3)
Computer Vision (1)
Behavioral Science (1)
Game Theory (1)
Model Adaptation (1)
Hardware Optimization (1)

🏷️ Keywords

ArXiv (4) · Large Language Models (2) · Diffusion models (1) · Latent reward modeling (1) · Vision-Language Models (1) · Flow-matching (1) · Preference optimization (1) · Generative AI (1) · AlphaEvolve (1) · Strategic Behavior (1) · Machine Learning (1) · Decision Making (1) · LLM Alignment (1) · Steer2Adapt (1) · Activation Steering (1) · Vector Composition (1) · AI Research (1) · Model Efficiency (1) · EUGens (1) · Neural Networks (1)

📖 Key Information

arXiv (pronounced as "archive"—the X represents the Greek letter chi ⟨χ⟩) is an open-access repository of electronic preprints and postprints (known as e-prints) approved for posting after moderation, but not peer reviewed. It consists of scientific papers in the fields of mathematics, physics, astronomy, electrical engineering, computer science, quantitative biology, statistics, mathematical finance, and economics, which can be accessed online. In many fields of mathematics and physics, almost all scientific papers are self-archived on the arXiv repository before publication in a peer-reviewed journal.

📰 Related News (4)

🇺🇸 Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling (2026-02-12)
arXiv:2602.11146v1 Announce Type: cross Abstract: Preference optimization for diffusion and flow-matching models relies on reward functions that are ...
🇺🇸 Discovering Differences in Strategic Behavior Between Humans and LLMs (2026-02-12)
arXiv:2602.10324v1 Announce Type: new Abstract: As Large Language Models (LLMs) are increasingly deployed in social and strategic scenarios, it becom...
🇺🇸 Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs (2026-02-10)
arXiv:2602.07276v1 Announce Type: new Abstract: Activation steering has emerged as a promising approach for efficiently adapting large language model...
🇺🇸 EUGens: Efficient, Unified, and General Dense Layers (2026-02-09)
arXiv:2410.09771v2 Announce Type: cross Abstract: Efficient neural networks are essential for scaling machine learning models to real-time applicatio...

🔗 Entity Intersection Graph

People and organizations frequently mentioned alongside ArXiv:

🌐 Large language model (2 shared articles)
🌐 Machine learning (1 shared articles)
🌐 AlphaEvolve (1 shared articles)
🌐 Diffusion model (1 shared articles)
🌐 Generative artificial intelligence (1 shared articles)
🌐 Deep learning (1 shared articles)
🌐 Neural network (1 shared articles)

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