10 citations · 11 across the 9 of their papers we have counts for
3 papers · 1 filter
CIFE: Code Instruction-Following Evaluation
Sravani Gunnu, Shanmukha Guttula, Hima Patel
Large Language Models (LLMs) are increasingly applied to real-world code generation, where functional correctness alone is insufficient for reliable deployment, developers also exp…
STRIDE: A Systematic Framework for Selecting AI Modalities -- Agentic AI, AI Assistants, or LLM Calls
Shubhi Asthana, Bing Zhang, Chad DeLuca +2
The rapid shift from stateless large language models (LLMs) to autonomous, goal-driven agents raises a central question: When is agentic AI truly necessary? While agents enable mul…
Generating Verifiable Chain of Thoughts from Exection-Traces
Shailja Thakur, Vaibhav Saxena, Rohan Kulkarni +4
Getting language models to reason correctly about code requires training on data where each reasoning step can be checked. Current synthetic Chain-of-Thought (CoT) training data of…