Buru Chang
Orcid: 0000-0002-7595-9035
According to our database1,
Buru Chang authored at least 34 papers
between 2018 and 2026.
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Bibliography
2026
HarDBench: A Benchmark for Draft-Based Co-Authoring Jailbreak Attacks for Safe Human-LLM Collaborative Writing.
CoRR, April, 2026
2025
NOAH: Benchmarking Narrative Prior driven Hallucination and Omission in Video Large Language Models.
CoRR, November, 2025
Improving Fisher Information Estimation and Efficiency for LoRA-based LLM Unlearning.
CoRR, August, 2025
Dataset Cartography for Large Language Model Alignment: Mapping and Diagnosing Preference Data.
CoRR, May, 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
The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation Systems.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
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
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
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
Proceedings of the IEEE International Conference on Acoustics, 2022
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
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
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
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