News
Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning
arXiv:2601.09667v1 Announce Type: cross Abstract: Multi-agent systems have evolved into practical LLM-driven collaborators for many...
Cohere Releases Tiny Aya: A 3B-Parameter Small Language Model that Supports 70 Languages and Runs Locally Even on a Phone
Cohere AI Labs has released Tiny Aya, a family of small language models (SLMs) that...
Cohere Releases Parse 5 (parse-v5.0): A 2.3B Vision Language Model That Turns Enterprise Documents Into Markdown
Cohere has released Parse (parse-v5.0), a document parsing model aimed at high-volume enterprise ingestion. It...
Cohere Releases Embed 5: How It Compares to Voyage 4 Large, Gemini Embedding 2, and OpenAI
Cohere has released Embed 5, a new embedding model family. It targets enterprise search, RAG...
Cognitive Surgery: The Awakening of Implicit Territorial Awareness in LLMs
arXiv:2508.14408v1 Announce Type: new Abstract: Large language models (LLMs) have been shown to possess a...
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training
arXiv:2508.00414v1 Announce Type: cross Abstract: General AI Agents are increasingly recognized as foundational frameworks for...
Cognitive BASIC: An In-Model Interpreted Reasoning Language for LLMs
arXiv:2511.16837v1 Announce Type: cross Abstract: Cognitive BASIC is a minimal, BASIC-style prompting language and in-model...
Cognition Releases SWE-2: A Kimi K3 Post-Trained Coding Model That Matches Fable 5.1 on FrontierCode at 64% Lower Cost
Cognition, the company behind the Devin coding agent, has released SWE-2, its most capable coding...
Codev lets enterprises avoid vibe coding hangovers with a team of agents that generate and document code
For many software developers using generative AI, vibe coding is a double-edged sword. The process...
Code2Doc: A Quality-First Curated Dataset for Code Documentation
arXiv:2512.18748v1 Announce Type: cross Abstract: The performance of automatic code documentation generation models depends critically...
CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors
arXiv:2508.02997v3 Announce Type: replace Abstract: The widespread use of Large Language Models (LLMs) in many...
Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection
arXiv:2505.19010v2 Announce Type: replace-cross Abstract: Multi-modal learning has emerged as a crucial research direction, as...
