8 citations · 17 across the 13 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.SE2025
Benchmarking Correctness and Security in Multi-Turn Code Generation
Ruchit Rawal, Jeffrey Yang Fan Chiang, Chihao Shen +4
AI coding assistants powered by large language models (LLMs) have transformed software development, significantly boosting productivity. While existing benchmarks evaluate the corr…
cs.CV2025
ARGUS: Hallucination and Omission Evaluation in Video-LLMs
Ruchit Rawal, Reza Shirkavand, Heng Huang +2
Video large language models have not yet been widely deployed, largely due to their tendency to hallucinate. Typical benchmarks for Video-LLMs rely simply on multiple-choice questi…