Sangwon Yu

According to our database1, Sangwon Yu authored at least 9 papers between 2021 and 2025.

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

Timeline

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Links

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Bibliography

2025
Know "No" Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP.
CoRR, January, 2025

Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Does Your Voice Assistant Remember? Analyzing Conversational Context Recall and Utilization in Voice Interaction Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Large Language Models are Skeptics: False Negative Problem of Input-conflicting Hallucination.
CoRR, 2024

Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2022
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Rare Words Degenerate All Words.
CoRR, 2021


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