Different Data, Different Modalities! Reinforced Data Splitting for Effective Multimodal Information Extraction from Social Media Posts

1 code implementation • COLING 2022 • Bo Xu, Shizhou Huang, Ming Du, Hongya Wang, Hui Song, Chaofeng Sha, Yanghua Xiao

In this paper, we argue that different social media posts should consider different modalities for multimodal information extraction.

ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation

1 code implementation • 3 Aug 2023 • Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou

Third, we find that generating the entire class all at once (i. e. holistic generation strategy) is the best generation strategy only for GPT-4 and GPT-3. 5, while method-by-method generation (i. e. incremental and compositional) is better strategies for the other models with limited ability of understanding long instructions and utilizing the middle information.

Class-level Code Generation HumanEval

Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models

no code implementations • 29 Aug 2021 • Zeyuan Wang, Chaofeng Sha, Su Yang

Attacks are only performed on selected key regions and key frames to reduce the high computation cost of searching adversarial perturbations on a video due to its high dimensionality.

Adversarial Attack reinforcement-learning +3