Search Results for author: Linlin Liu

Found 12 papers, 4 papers with code

Is GPT-3 a Good Data Annotator?

no code implementations20 Dec 2022 Bosheng Ding, Chengwei Qin, Linlin Liu, Yew Ken Chia, Shafiq Joty, Boyang Li, Lidong Bing

In this paper, we evaluate the performance of GPT-3 as a data annotator by comparing it with traditional data annotation methods and analyzing its output on a range of tasks.

Language Modelling

Does GPT-3 Demonstrate Psychopathy? Evaluating Large Language Models from a Psychological Perspective

no code implementations20 Dec 2022 Xingxuan Li, Yutong Li, Shafiq Joty, Linlin Liu, Fei Huang, Lin Qiu, Lidong Bing

On the basis of the findings, we recommended the application of more systematic and comprehensive psychological metrics to further evaluate and improve the safety of LLMs.

Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations

1 code implementation16 Nov 2022 Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Shafiq Joty, Luo Si, Lidong Bing

Due to the huge amount of parameters, fine-tuning of pretrained language models (PLMs) is prone to overfitting in the low resource scenarios.

Hierarchical Vectorization for Portrait Images

no code implementations24 May 2022 QiAn Fu, Linlin Liu, Fei Hou, Ying He

We evaluate our method on the FFHQR dataset and show that our method is effective for common portrait editing tasks, such as retouching, light editing, color transfer and expression editing.

Flexible Portrait Image Editing with Fine-Grained Control

no code implementations4 Apr 2022 Linlin Liu, QiAn Fu, Fei Hou, Ying He

We develop a new method for portrait image editing, which supports fine-grained editing of geometries, colors, lights and shadows using a single neural network model.

Image Generation Sketch-to-Image Translation

Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples

1 code implementation22 Nov 2021 Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq Joty, Luo Si

In this work, we explore methods to make better use of the multilingual annotation and language agnostic property of KG triples, and present novel knowledge based multilingual language models (KMLMs) trained directly on the knowledge triples.

Knowledge Graphs Language Modelling +7

MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER

no code implementations ACL 2021 Linlin Liu, Bosheng Ding, Lidong Bing, Shafiq Joty, Luo Si, Chunyan Miao

With the source-language data as well as the translated data, a generation-based multilingual data augmentation method is introduced to further increase diversity by generating synthetic labeled data in multiple languages.

Cross-Lingual NER Data Augmentation +5

On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation

no code implementations ACL 2021 Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si

It works by adding light-weight adapter modules to a pretrained language model (PrLM) and only updating the parameters of adapter modules when learning on a downstream task.

Language Modelling

Hierarchical Pointer Net Parsing

1 code implementation IJCNLP 2019 Linlin Liu, Xiang Lin, Shafiq Joty, Simeng Han, Lidong Bing

Transition-based top-down parsing with pointer networks has achieved state-of-the-art results in multiple parsing tasks, while having a linear time complexity.

Discourse Parsing Inductive Bias

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