4 citations · 8 across the 13 of their papers we have counts for
Showing cs.CLShow all
3 papers · 1 filter
cs.CL2025
MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique
Gailun Zeng, Ziyang Luo, Hongzhan Lin +5
The ability of critique is vital for models to self-improve and serve as reliable AI assistants. While extensively studied in language-only settings, multimodal critique of Large M…
cs.CL2024★ 4 cited
CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification
Yuchen Tian, Weixiang Yan, Qian Yang +6
Large Language Models (LLMs) have made significant progress in code generation, offering developers groundbreaking automated programming support. However, LLMs often generate code…
cs.CL2024★ 1 cited
MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems
Kaixin Li, Yuchen Tian, Qisheng Hu +3
Programming often involves converting detailed and complex specifications into code, a process during which developers typically utilize visual aids to more effectively convey conc…