Research

Here's a Free Lunch: Sanitizing Backdoored Models with Model Merge

Cohere

However, this openness also brings significant security risks, including backdoor attacks, where hidden malicious behaviors are triggered by specific inputs, compromising natural language processing (NLP) system integrity and reliability.

Visit Site

Research Cohere

ResearchInvestigating Continual Pretraining in Large Language Models: Insights and ImplicationsCohere ResearchInterlocking Backpropagation: Improving depthwise model-parallelismCohere ResearchScalable Data Ablation Approximations for Language Models through Modular Training and MergingCohere ResearchBigScience: A Case Study in the Social Construction of a Multilingual Large Language ModelCohere ResearchSimMerge: Learning to Select Merge Operators from Similarity SignalsCohere ResearchCALIBER: Calibrating confidence before and after reasoning in language modelsCohere Blogs10 best AI observability tools for monitoring and evaluating agents in 2026Mintlify BlogsNew Spanish and Turkish Language Models and Updated General Models - Deepgram Blog ⚡️Deepgram BlogsHow to implement AI training for employeesZapier BlogsWorkato integrations: What's included and when to use ZapierZapier BlogsAI frameworks: Definition, types, and how to chooseZapier BlogsThe Best Video Editing Software in 2026 (Including Free Options)Zapier NewsPancakes Are Delicious and Data Centers Are for Free StuffThenewstack NewsGoogle Anthos from the Eyes of a Kubernetes DeveloperThenewstack BlogsDiscovered Stacks: One Place for All Your InfrastructurePulumi ResourcesThe Go Memory Model - The Go Programming LanguageGo BlogsUnpacking sandbox startup latency: why started ≠ readyModal ResourcesWhat is a CUDA Thread Block?Modal BlogsHow Hunch supercharged AI workflows with Modal SandboxesModal BlogsAnthropic integration with Modal brings scalable compute to Claude ScienceModal