Buru Chang

Orcid: 0000-0002-7595-9035

According to our database1, Buru Chang authored at least 31 papers between 2018 and 2025.

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

Timeline

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Bibliography

2025
Dataset Cartography for Large Language Model Alignment: Mapping and Diagnosing Preference Data.
CoRR, May, 2025

The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation Systems.
CoRR, February, 2025

Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

SHARE: Shared Memory-Aware Open-Domain Long-Term Dialogue Dataset Constructed from Movie Script.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
In-Context Learning with Noisy Labels.
CoRR, 2024

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Language Models through Egocentric Instruction Tuning.
CoRR, 2024

CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform.
CoRR, 2024

CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform.
Proceedings of the IEEE International Conference on Data Mining, 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


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