BobXWu

BobXWu's Stars

• fxsjy/jieba

  结巴中文分词

  Language:Python33.4k1.3k8536.7k

• MaartenGr/BERTopic

  Leveraging BERT and c-TF-IDF to create easily interpretable topics.

  Language:Python6.2k531.7k767

• zjunlp/EasyEdit

  [ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

  Language:Jupyter Notebook2k26346238

• MIND-Lab/OCTIS

  OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

  Language:Python73415103106

• nelson-liu/lost-in-the-middle

  Code and data for "Lost in the Middle: How Language Models Use Long Contexts"

  Language:Python31851426

• YuxiXie/MCTS-DPO

  This is the repository that contains the source code for the Self-Evaluation Guided MCTS for online DPO.

  Language:Jupyter Notebook2081525

• princeton-nlp/MQuAKE

  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions

  Language:Jupyter Notebook1025128

• YuxiXie/SelfEval-Guided-Decoding

  Language:Python89216

• Elfsong/Mercury

  Code Efficiency Benchmark

  Language:Jupyter Notebook8710012

• YuxiXie/SG-Deep-Question-Generation

  This repository contains code and models for the paper: Semantic Graphs for Generating Deep Questions (ACL 2020).

  Language:Python7521733

• BobXWu/FASTopic

  A Fast, Adaptive, Stable, and Transferable Topic Model

  Language:Python43275

• hamedR96/ANTM

  Aligned Neural Topic Model (ANTM) for Exploring Evolving Topics: a dynamic neural topic model that uses document embeddings (data2vec) to compute clusters of semantically similar documents at different periods, and aligns document clusters to represent topic evolution.

  Language:Jupyter Notebook34237

• nguyentthong/video-language-understanding

  [ACL’24 Findings] Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives

  34100

• dominiksinsaarland/evaluating-topic-model-output

  Language:Python17200

• XinyuanLu00/QACheck

  About Data and Codes for EMNLP 2023 System Demo Paper "QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking"

  Language:Python16114

• BobXWu/CFDTM

  Language:Python15102

• zhiyuanhubj/Long_form_VideoQA

  [EMNLP’24 Main] Encoding and Controlling Global Semantics for Long-form Video Question Answering

  Language:Python14340

• cezhang01/Adjacent-Encoder

  Source code of the AAAI-2020 paper "Topic Modeling on Document Networks with Adjacent-Encoder"

  Language:Python12114

• BobXWu/TraCo

  Code for On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling (AAAI 2024)

  Language:Python9102

• nguyentthong/READ

  [AAAI’24 Main] READ: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling

  Language:Python820

• duyngtr16061999/KDMCSE

  Language:Python7110

• cezhang01/hgtm

  Source code of KDD-23 paper "Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree"

  Language:Python5201

• YuxiXie/COrAL

  This repository contains the source code for COrAL, an Order-Agnostic Language Modeling framework for Efficient Iterative Refinement.

  Language:Python5100

• nbnbhwyy/NSEM-GMHTM

  Language:Python4102

• cezhang01/dbn

  Source code of TKDE-23 paper "Topic Modeling on Document Networks with Dirichlet Optimal Transport Barycenter"

  Language:Python3111

• cezhang01/vgatm

  Source code of KDD-22 paper "Variational Graph Author Topic Modeling"

  Language:Python3102

• cezhang01/malic

  Source code and datasets of CIKM-21 paper, Topic Modeling for Multi-Aspect Listwise Comparisons

  Language:Python2100

• cezhang01/semivn

  Source code of ECML/PKDD-21 paper, Semi-Supervised Semantic Visualization for Networked Documents

  Language:Python2100

• panFJCharlotte98/Fallacy_Detection

  Official Implementation of EMNLP 2024 Are LLMs Good Zero-Shot Fallacy Classifiers?

  Language:Jupyter Notebook210

• BobXWu/AKEW

  110