Buru Chang

Orcid: 0000-0002-7595-9035

According to our database1, Buru Chang authored at least 23 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models.
CoRR, 2024

Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation.
CoRR, 2024

Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

Exploring Intervention Techniques to Alleviate Negative Emotions during Video Content Moderation Tasks as a Worker-centered Task Design.
Proceedings of the Designing Interactive Systems Conference, 2024

2023
Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TiDAL: Learning Training Dynamics for Active Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
TiDAL: Learning Training Dynamics for Active Learning.
CoRR, 2022

Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Temporal Knowledge Distillation for on-device Audio Classification.
Proceedings of the IEEE International Conference on Acoustics, 2022

Measuring and Improving Semantic Diversity of Dialogue Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Understanding and Improving the Exemplar-based Generation for Open-domain Conversation.
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021
Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning.
CoRR, 2021

Embedding Normalization: Significance Preserving Feature Normalization for Click-Through Rate Prediction.
Proceedings of the 2021 International Conference on Data Mining, 2021

Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

"Killing Me" Is Not a Spoiler: Spoiler Detection Model using Graph Neural Networks with Dependency Relation-Aware Attention Mechanism.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Disentangling Label Distribution for Long-Tailed Visual Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Content-Aware Successive Point-of-Interest Recommendation.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2018
DeepPIM: A deep neural point-of-interest imputation model.
Inf. Sci., 2018

A Deep Neural Spoiler Detection Model Using a Genre-Aware Attention Mechanism.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018


  Loading...