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Collapse of Irrelevant Representations (CIR) Ensures Robust and Non-Disruptive LLM Unlearning
arXiv:2509.11816v2 Announce Type: replace-cross Abstract: Current unlearning and safety training methods consistently fail to remove...
Collaborative Stance Detection via Small-Large Language Model Consistency Verification
arXiv:2502.19954v2 Announce Type: replace Abstract: Stance detection on social media aims to identify attitudes expressed...
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...
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...
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...
CMCTS: A Constrained Monte Carlo Tree Search Framework for Mathematical Reasoning in Large Language Model
arXiv:2502.11169v2 Announce Type: replace Abstract: This paper introduces the Constrained Monte Carlo Tree Search (CMCTS)...
Clozing the Gap: Exploring Why Language Model Surprisal Outperforms Cloze Surprisal
arXiv:2601.09886v1 Announce Type: new Abstract: How predictable a word is can be quantified in two...
