4 citations · 10 across the 9 of their papers we have counts for
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cs.CV2024★ 3 cited
Learning to Correction: Explainable Feedback Generation for Visual Commonsense Reasoning Distractor
Jiali Chen, Xusen Hei, Yuqi Xue +4
Large multimodal models (LMMs) have shown remarkable performance in the visual commonsense reasoning (VCR) task, which aims to answer a multiple-choice question based on visual com…
cs.SE2024★ 4 cited
Toward Secure Code Generation: Bridging Correctness and Security via Task-Adaptive Vulnerability Modeling and Execution-Based Benchmarking
Jiexin Wang, Xitong Luo, Liuwen Cao +9
Large language models (LLMs) are increasingly used for program synthesis, yet they often generate code that is functionally plausible but insecure. Progress in secure code generati…