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ConVerse: Benchmarking Contextual Safety in Agent-to-Agent Conversations
arXiv:2511.05359v1 Announce Type: cross Abstract: As language models evolve into autonomous agents that act and...
Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching
arXiv:2507.04099v2 Announce Type: replace Abstract: Fine-tuning methods such as Direct Preference Optimization (DPO) and Group...
Controlling Performance and Budget of a Centralized Multi-agent LLM System with Reinforcement Learning
arXiv:2511.02755v1 Announce Type: new Abstract: Large language models (LLMs) exhibit complementary strengths across domains and...
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...
