ข่าว
CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought
arXiv:2502.17214v2 Announce Type: replace Abstract: Large language models (LLMs) excel in many tasks but struggle...
CoT-Space: A Theoretical Framework for Internal Slow-Thinking via Reinforcement Learning
arXiv:2509.04027v2 Announce Type: replace-cross Abstract: Reinforcement Learning (RL) has become a pivotal approach for enhancing...
CoSyn: The open-source tool that’s making GPT-4V-level vision AI accessible to everyone
Researchers at the University of Pennsylvania and the Allen Institute for Artificial Intelligence have developed...
CoSteer: Collaborative Decoding-Time Personalization via Local Delta Steering
arXiv:2507.04756v3 Announce Type: replace Abstract: Personalization has become crucial for adapting models to the diverse...
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...
