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Two Best Paper Awards by Interns at Korea Software Congress (KSC 2024)!
/photos/news/스크린샷 2024-12-11 오후 7.14.47.pngPublished December 18, 2024
We are thrilled to announce that two papers have received Best Paper Awards at Korea Software Congress (KSC 2024): 1. "The Impact of Retrieved Document Bias on Generated Responses in RAG: An Analysis through Political Bias Experiments" (authors: Seungho Cho, Changgeon Ko, Taeho Hwang, Jeong Yeon Seo, and Jong C. Park). 2. "Improving Keypoint-based Korean Sign Language Translation Performance Through Frame-wise Contrastive Learning" (authors: Hyeyeon Kim, Junmyeong Lee, Eui Jun Hwang, and Jong C. Park). Congratulations to Seungho and Hyeyeon, who participated as interns, for their remarkable achievements!
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Our papers have been accepted at the workshops at NeurIPS 2024!
/photos/news/NeurIPS-logo.pngPublished December 14, 2024
Our paper 'Different Bias Under Different Criteria: Assessing Bias in LLMs with a Fact-Based Approach' (authors: Changgeon Ko, Jisu Shin, Hoyun Song, Jeong yeon Seo, and Jong C. Park) has been accepted at the SolaR workshop of NeurIPS 2024. Also, another paper 'PiLaMIM: Toward Richer Visual Representations by Integrating Pixel and Latent Masked Image Modeling' (authors: Junmyeong Lee, Eui Jun Hwang, Sukmin Cho, and Jong C. Park) has been accepted at the SSL workshop of NeurIPS 2024. Congratulations!
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Our papers have been accepted to EMNLP 2024!
/photos/news/emnlp2024_0.jpgPublished November 12, 2024
Our papers have been accepted to EMNLP 2024! Our papers 'Typos that Broke the RAG's Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations' (authors: Sukmin Cho, Soyeong Jeong, Jeong yeon Seo, Taeho Hwang, and Jong C. Park) and 'Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling' (authors: Huije Lee, Hoyun Song, Jisu Shin, Sukmin Cho, SeungYoon Han, and Jong C. Park) have been accepted as findings of EMNLP 2024. Congratulations!
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Our papers have been accepted to ACL 2024!
/photos/news/acl2024_logo.JPGPublished May 17, 2024
Our paper 'Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models' (authors: Jisu Shin, Hoyun Song, Huije Lee, Soyeong Jeong, and Jong C. Park) has been accepted as findings of ACL 2024! Also, another paper 'DSLR: Document Refinement with Sentence-Level Re-ranking and Reconstruction to Enhance Retrieval-Augmented Generation' (authors: Taeho Hwang, Soyeong Jeong, Sukmin Cho, SeungYoon Han, and Jong C. Park) has been accepted at the KnowledgeNLP workshop of ACL 2024. Congratulations!
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Our paper has been accepted to NAACL 2024!
/photos/news/naacl204.jpgPublished March 14, 2024
Our paper "Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity" (authors: Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, and Jong C. Park) has been accepted to NAACL 2024! Congratulations!
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Our paper has been accepted to FG 2024!
/photos/news/FG_logo.JPGPublished March 14, 2024
Our paper "A Gloss-free Sign Language Production with Discrete Representation" (authors: Eui Jun Hwang, Huije Lee, and Jong C. Park) has been accepted to FG 2024! Congratulations!
Three students joined our lab!
Published February 26, 2024
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The lastest three papers accepted or published
- Seungho Cho, Changgeon Ko, Taeho Hwang, Jeong yeon Seo, and Jong C. Park: "The Impact of Retrieved Document Bias on Generated Responses in RAG: An Analysis through Political Bias Experiments" (KSC2024)
- Hyeyeon Kim, Junmyeong Lee, Eui Jun Hwang, and Jong C. Park: "Improving Keypoint-based Korean Sign Language Translation Performance Through Frame-wise Contrastive Learning" (KSC2024)
- Changgeon Ko, Jisu Shin, Hoyun Song, Jeong yeon Seo, and Jong C. Park: "Different Bias Under Different Criteria: Assessing Bias in LLMs with a Fact-Based Approach" (SoLaR@NeurIPS2024)
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