3 papers
cs.AI2026
ESF-Bench: Benchmarking Challenging Slot-Filling Scenarios for Real-World Enterprise Applications
Toby Liang, Gopal Sarda, Sagar Davasam +1
The rapid rise of large language models (LLMs) has driven transformative adoption across enterprises. However, deploying these models in real-world settings presents unique challen…
cs.AI2025
SyGra: A Unified Graph-Based Framework for Scalable Generation, Quality Tagging, and Management of Synthetic Data
Bidyapati Pradhan, Surajit Dasgupta, Amit Kumar Saha +4
The advancement of large language models (LLMs) is critically dependent on the availability of high-quality datasets for Supervised Fine-Tuning (SFT), alignment tasks like Direct P…
cs.LG2025
Apriel-Nemotron-15B-Thinker
Shruthan Radhakrishna, Soham Parikh, Gopal Sarda +32
While large language models (LLMs) have achieved remarkable reasoning capabilities across domains like code, math and other enterprise tasks, their significant memory and computati…