Search Results for author: Jiateng Liu

Found 7 papers, 2 papers with code

EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries

no code implementations17 Feb 2024 Jiateng Liu, Pengfei Yu, Yuji Zhang, Sha Li, Zixuan Zhang, Heng Ji

The dynamic nature of real-world information necessitates efficient knowledge editing (KE) in large language models (LLMs) for knowledge updating.

knowledge editing

If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents

no code implementations1 Jan 2024 Ke Yang, Jiateng Liu, John Wu, Chaoqi Yang, Yi R. Fung, Sha Li, Zixuan Huang, Xu Cao, Xingyao Wang, Yiquan Wang, Heng Ji, ChengXiang Zhai

The prominent large language models (LLMs) of today differ from past language models not only in size, but also in the fact that they are trained on a combination of natural language and formal language (code).

Code Generation

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback

1 code implementation19 Sep 2023 Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji

However, current evaluation protocols often emphasize benchmark performance with single-turn exchanges, neglecting the nuanced interactions among the user, LLMs, and external tools, while also underestimating the importance of natural language feedback from users.

Decision Making

CurveCloudNet: Processing Point Clouds with 1D Structure

no code implementations21 Mar 2023 Colton Stearns, Davis Rempe, Jiateng Liu, Alex Fu, Sebastien Mascha, Jeong Joon Park, Despoina Paschalidou, Leonidas J. Guibas

Modern depth sensors such as LiDAR operate by sweeping laser-beams across the scene, resulting in a point cloud with notable 1D curve-like structures.

Seeking Salient Facial Regions for Cross-Database Micro-Expression Recognition

1 code implementation30 Nov 2021 Xingxun Jiang, Yuan Zong, Wenming Zheng, Jiateng Liu, Mengting Wei

To solve these problems, this paper proposes a novel Transfer Group Sparse Regression method, namely TGSR, which aims to 1) optimize the measurement and better alleviate the difference between the source and target databases, and 2) highlight the valid facial regions to enhance extracted features, by the operation of selecting the group features from the raw face feature, where each region is associated with a group of raw face feature, i. e., the salient facial region selection.

Domain Adaptation Micro Expression Recognition +2

SMA-STN: Segmented Movement-Attending Spatiotemporal Network forMicro-Expression Recognition

no code implementations19 Oct 2020 Jiateng Liu, Wenming Zheng, Yuan Zong

Correctly perceiving micro-expression is difficult since micro-expression is an involuntary, repressed, and subtle facial expression, and efficiently revealing the subtle movement changes and capturing the significant segments in a micro-expression sequence is the key to micro-expression recognition (MER).

Micro Expression Recognition Micro-Expression Recognition

DFEW: A Large-Scale Database for Recognizing Dynamic Facial Expressions in the Wild

no code implementations13 Aug 2020 Xingxun Jiang, Yuan Zong, Wenming Zheng, Chuangao Tang, Wanchuang Xia, Cheng Lu, Jiateng Liu

Experimental results show that DFEW is a well-designed and challenging database, and the proposed EC-STFL can promisingly improve the performance of existing spatiotemporal deep neural networks in coping with the problem of dynamic FER in the wild.

Dynamic Facial Expression Recognition Facial Expression Recognition +1

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