TechiSeek

AddAdd your Listings

Research

Crosslingual Reasoning through Test-Time Scaling

Cohere

Reasoning capabilities of large language models are primarily studied for English, even when pretrained models are multilingual.

Visit Site

Research Cohere

ResearchDéjà Vu: Multilingual LLM Evaluation through the Lens of Machine Translation EvaluationCohere ResearchProcedural Knowledge in Pretraining Drives Reasoning in Large Language ModelsCohere ResearchRewardBench 2: Advancing Reward Model EvaluationCohere ResearchNo Need for Explanations: LLMs can implicitly learn from mistakes in-contextCohere ResearchThe Multilingual Divide and Its Impact on Global AI SafetyCohere ResearchHere's a Free Lunch: Sanitizing Backdoored Models with Model MergeCohere BlogsVision Model Platform Updates: Enhanced Capabilities and New FeaturesFireworks BlogsMemgraph Docker Extension: Empowering Real-Time Analytics with High PerformanceDocker BlogsStreamline the Development of Real-Time AI Applications with MindsDB Docker ExtensionDocker BlogsWhen Kubeflow meets Cilium: Debugging 60% idle GPUs in KubernetesCncf BlogsProjectional EditingMartinfowler BlogsVercel collaborates with Google for Gemini 3 Pro Preview launchVercel ResourcesTesting & troubleshooting microfrontendsVercel Products & ServicesDeploy AI Agents in Minutes, Not MonthsElevenlabs BlogsWhy we sunsetted mcptMintlify Products & ServicesNew in GitBook: Global reusable content, auto-updating API docs, and much moreGitbook BlogsAutomatically draft AI-generated email replies with ClaudeZapier BlogsHow Alma turned a messy HR inbox into a streamlined help desk with 180+ Zapier automationsZapier BlogsHow to automatically track and respond to leads from Facebook Lead AdsZapier ResearchPrioritized Training on Points that are Learnable, Worth Learning, and Not Yet LearntCohere