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cs.CL2026
Training with Pseudo-Code for Instruction Following
Prince Kumar, Rudra Murthy, Riyaz Bhat +1
Despite rapid advances in the capabilities of Large Language Models (LLMs), they continue to struggle with following relatively simple and unambiguous instructions, particularly wh…
cs.CL2025
Granite Embedding R2 Models
Parul Awasthy, Aashka Trivedi, Yulong Li +17
We introduce the Granite Embedding R2 models, a comprehensive family of high-performance English encoder-based embedding models engineered for enterprise-scale dense retrieval appl…