Search Results for author: Jianmeng Liu

Found 4 papers, 1 papers with code

DLLens: Testing Deep Learning Libraries via LLM-aided Synthesis

no code implementations12 Jun 2024 Meiziniu Li, Dongze Li, Jianmeng Liu, Jialun Cao, Yongqiang Tian, Shing-Chi Cheung

Our evaluation shows that DLLens can synthesize counterparts for more than twice as many APIs found by state-of-the-art techniques on these libraries.

Deep Learning Language Modelling +1

VP-LLM: Text-Driven 3D Volume Completion with Large Language Models through Patchification

no code implementations8 Jun 2024 Jianmeng Liu, Yichen Liu, Yuyao Zhang, Zeyuan Meng, Yu-Wing Tai, Chi-Keung Tang

Recent conditional 3D completion works have mainly relied on CLIP or BERT to encode textual information, which cannot support complex instruction.

Prompt2NeRF-PIL: Fast NeRF Generation via Pretrained Implicit Latent

no code implementations5 Dec 2023 Jianmeng Liu, Yuyao Zhang, Zeyuan Meng, Yu-Wing Tai, Chi-Keung Tang

This paper explores promptable NeRF generation (e. g., text prompt or single image prompt) for direct conditioning and fast generation of NeRF parameters for the underlying 3D scenes, thus undoing complex intermediate steps while providing full 3D generation with conditional control.

3D Generation 3D Reconstruction +1

Mitigating the Alignment Tax of RLHF

1 code implementation12 Sep 2023 Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Heng Ji, Yuan YAO, Tong Zhang

Building on the analysis and the observation that averaging different layers of the transformer leads to significantly different alignment-forgetting trade-offs, we propose Heterogeneous Model Averaging (HMA) to Heterogeneously find various combination ratios of model layers.

Common Sense Reasoning Continual Learning

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