LancoPKU

AdaMod

Adaptive and Momental Bounds for Adaptive Learning Rate Methods.

Chinese-Literature-NER-RE-Dataset

A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text

DPGAN

Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text (EMNLP2018)

Global-Encoding

Global Encoding for Abstractive Summarization (ACL 2018)

Graph-to-seq-comment-generation

Code for the paper ``Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model''

label-words-are-anchors

Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

pkuseg-python

pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation

SGM

Sequence Generation Model for Multi-label Classification (COLING 2018)

SU4MLC

Code for the article "Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification" (EMNLP 2018)

superAE

Code for "Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization"

lancopku/pkuseg-python

pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation

lancopku/label-words-are-anchors

Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

lancopku/text-autoaugment

[EMNLP 2021] Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification

lancopku/meProp

meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)

lancopku/Prime

A simple module consistently outperforms self-attention and Transformer model on main NMT datasets with SoTA performance.

lancopku/Explicit-Sparse-Transformer

code for Explicit Sparse Transformer

lancopku/well-classified-examples-are-underestimated

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

lancopku/DynamicKD

Code for EMNLP 2021 main conference paper "Dynamic Knowledge Distillation for Pre-trained Language Models"

lancopku/Embedding-Poisoning

Code for the paper "Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models" (NAACL-HLT 2021)

lancopku/IAIS

[ACL 2021] Learning Relation Alignment for Calibrated Cross-modal Retrieval

lancopku/agent-backdoor-attacks

Code&Data for the paper "Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents"

lancopku/codable-watermarking-for-llm

Repository for Towards Codable Watermarking for Large Language Models

lancopku/CGM

Code for IJCAI 2021 main conference paper "Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling"

lancopku/clip-openness

[ACL 2023] Delving into the Openness of CLIP

lancopku/SOS

Code for the paper "Rethinking Stealthiness of Backdoor Attack against NLP Models" (ACL-IJCNLP 2021)

lancopku/RAP

Code for the paper "RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models" (EMNLP 2021)

lancopku/MUKI

[Findings of EMNLP22] From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models

lancopku/Avg-Avg

[Findings of EMNLP 2022] Holistic Sentence Embeddings for Better Out-of-Distribution Detection

lancopku/ChineseNER

Code for "Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media: A Unified Model"

lancopku/CascadeBERT

Code for CascadeBERT, Findings of EMNLP 2021

lancopku/DCKD

Code and data for Distributional Correlation–Aware Knowledge Distillation for Stock Trading Volume Prediction (ECML-PKDD 22)

lancopku/DAN

[Findings of EMNLP 2022] Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks

lancopku/FedMNMT

[Findings of ACL 2023] Communication Efficient Federated Learning for Multilingual Machine Translation with Adapter

lancopku/GKD

lancopku/Attention-Augmentation

lancopku/GNOME

Code of the EACL 2023 Paper: Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features

lancopku/MR-VPC

Towards Multimodal Video Paragraph Captioning Models Robust to Missing Modality

lancopku/FedGLAD

lancopku/LaDiC

[NAACL 2024] LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-text Generation?

lancopku/lancopku.github.io

Lanco Lab website