335 citations · 535 across the 88 of their papers we have counts for
97 papers
Nearly sharp stability of polynomial spectral Ritz projections
Yongxing Guo, Yuwen Li
We establish nearly sharp stability estimates for the Legendre spectral Ritz projection associated with Laplacian on a square domain. Its norm grows proportionally t…
Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories
Shuyan Huang, Kai Du, Andrew Lan
Large language model (LLM)-powered agents have rapidly evolved from code-completion tools into solvers of complex software engineering tasks. As developers collaborate with coding…
Principal Trait Analysis: Towards Deriving "Skills" in Human-AI Collaboration
Hunter McNichols, Kai Du, Andrew Lan
Large Language Model-powered agents are increasingly used in the workplace via human-artificial intelligence (AI) collaboration. In this new era of work, it is important to underst…
Generative AI May Reinforce Social Biases in Software Engineering Education
Erfan Entezami, Andrew Lan, Madeline Endres
Generative artificial intelligence (GenAI) is increasingly being deployed across a wide range of real-world applications. Without careful evaluation, reliance on these systems can…
When Rubrics Change: Cross-Rubric Generalization for Critical Thinking Essay Scoring
Nischal Ashok Kumar, Payu Wittawatolarn, Sana Kang +7
Automated essay scoring (AES) research has largely focused on cross-prompt generalization, where essays from unseen prompts are scored while the scoring criteria are typically held…
GRASP: GRanularity-Aware Search Policy for Agentic RAG
Varun Gandhi, Jaewook Lee, Shantanu Todmal +4
Agentic retrieval-augmented generation (RAG) extends static RAG by allowing language models to iteratively reason, generate search queries, retrieve evidence, and predict answers.…