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Controlled Self-Evolution for Algorithmic Code Optimization

arXiv:2601.07348v4 Announce Type: replace Abstract: Self-evolution methods enhance code generation through iterative “generate-verify-refine” cycles, yet...

Context-level Language Modeling by Learning Predictive Context Embeddings

arXiv:2510.20280v3 Announce Type: replace Abstract: We propose ContextLM, a framework that implicitly learns multi-token prediction...

Context-Dependent Affordance Computation in Vision-Language Models

arXiv:2603.04419v2 Announce Type: replace Abstract: We characterize the phenomenon of context-dependent affordance computation in vision-language...

Context Windows Are Not Memory: What AI Agent Developers Need to Understand

In this article, you will learn why a large context window is not the same...

Context Windows Are Not Memory: What AI Agent Developers Need to Understand

In this article, you will learn why a large context window is not the same...

Context Window Management for Long-Running Agents: Strategies and Tradeoffs

In this article, you will learn five practical strategies for managing context windows in long-running...

Context vs. Memory Engineering in Agentic AI Systems

Compression on Arrival Tool outputs should be compressed after a call returns, not after the...

Context Selection and Rewriting for Video-based Educational Question Generation

arXiv:2504.19406v2 Announce Type: replace Abstract: Educational question generation (EQG) is a crucial component of intelligent...

Context Parametrization with Compositional Adapters

arXiv:2509.22158v1 Announce Type: new Abstract: Large language models (LLMs) often seamlessly adapt to new tasks...

Constellations

I. We had crash-landed on the planet. We were far from home. The spaceship could...

Computational Fact-Checking of Online Discourse: Scoring scientific accuracy in climate change related news articles

arXiv:2505.07409v2 Announce Type: replace Abstract: Democratic societies need reliable information. Misinformation in popular media, such...

Computational emotion analysis with multimodal LLMs: Current evidence on an emerging methodological opportunity

arXiv:2512.10882v4 Announce Type: replace Abstract: Research increasingly leverages audio-visual materials to analyze emotions in political...

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