Search Results for author: Taihao Li

Found 10 papers, 4 papers with code

CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models

no code implementations20 Dec 2023 Dan Shi, Chaobin You, Jiantao Huang, Taihao Li, Deyi Xiong

With these pre-defined domains and slots, we collect 76, 787 commonsense knowledge annotations from 19, 700 dialogues through crowdsourcing.

Causal Inference Common Sense Reasoning

RedCore: Relative Advantage Aware Cross-modal Representation Learning for Missing Modalities with Imbalanced Missing Rates

no code implementations16 Dec 2023 Jun Sun, Xinxin Zhang, Shoukang Han, Yu-Ping Ruan, Taihao Li

Multimodal learning is susceptible to modality missing, which poses a major obstacle for its practical applications and, thus, invigorates increasing research interest.

Representation Learning

ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model

1 code implementation29 Nov 2023 Fukun Yin, Xin Chen, Chi Zhang, Biao Jiang, Zibo Zhao, Jiayuan Fan, Gang Yu, Taihao Li, Tao Chen

The advent of large language models, enabling flexibility through instruction-driven approaches, has revolutionized many traditional generative tasks, but large models for 3D data, particularly in comprehensively handling 3D shapes with other modalities, are still under-explored.

3D Shape Generation Language Modelling +1

Vote2Cap-DETR++: Decoupling Localization and Describing for End-to-End 3D Dense Captioning

1 code implementation6 Sep 2023 Sijin Chen, Hongyuan Zhu, Mingsheng Li, Xin Chen, Peng Guo, Yinjie Lei, Gang Yu, Taihao Li, Tao Chen

Moreover, we argue that object localization and description generation require different levels of scene understanding, which could be challenging for a shared set of queries to capture.

3D dense captioning Dense Captioning +3

Parameter-Efficient Tuning on Layer Normalization for Pre-trained Language Models

no code implementations16 Nov 2022 Wang Qi, Yu-Ping Ruan, Yuan Zuo, Taihao Li

Conventional fine-tuning encounters increasing difficulties given the size of current Pre-trained Language Models, which makes parameter-efficient tuning become the focal point of frontier research.

Improving Speech Emotion Recognition with Unsupervised Speaking Style Transfer

no code implementations16 Nov 2022 Leyuan Qu, Wei Wang, Cornelius Weber, Pengcheng Yue, Taihao Li, Stefan Wermter

Once training is completed, EmoAug enriches expressions of emotional speech with different prosodic attributes, such as stress, rhythm and intensity, by feeding different styles into the paralinguistic encoder.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

Twin Contrastive Learning for Online Clustering

2 code implementations21 Oct 2022 Yunfan Li, Mouxing Yang, Dezhong Peng, Taihao Li, Jiantao Huang, Xi Peng

Specifically, we find that when the data is projected into a feature space with a dimensionality of the target cluster number, the rows and columns of its feature matrix correspond to the instance and cluster representation, respectively.

Clustering Contrastive Learning +3

Fast sensor placement by enlarging principle submatrix for large-scale linear inverse problems

no code implementations6 Oct 2021 Fen Wang, Gene Cheung, Taihao Li, Ying Du, Yu-Ping Ruan

Sensor placement for linear inverse problems is the selection of locations to assign sensors so that the entire physical signal can be well recovered from partial observations.

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