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Publications(8)

• On the Importance of a Multi-Scale Calibration for Quantization

  AuthorIngyu Seong, Hyemi Jang, Yongkweon Jeon

  PublishedIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

  Date2026-05-04

• Grouped Adaptive Weight Sharing (GAWS): An Inference-Efficient Adaptation Method for Large Language Models

  AuthorEman Alsuradi, Junhyun Lee, Kyenghun Lee, Hyeonmok Ko, Fahed Jubair

  PublishedThe Association for Computational Linguistics (ACL)

  Date2026-04-07

• LittleBit: Ultra-Low Bit Quantization via Latent Factorization

  AuthorBanseok Lee, Dongkyu Kim, Youngcheon You, Youngmin Kim

  PublishedNeural Information Processing Systems (NeurIPS)

  Date2025-12-02

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News(5)

• [Blog] LANTERN: Language Model Assessmenton Noisy and Transformed Tasks for Understanding Error and Robustness Nuances

  Large Language Models (LLMs) such as GPT‑3, LLaMA, and ChatGPT have made significant strides in natural language generation, reasoning, and instruction following. These advancements have been fuelled by scaling laws, massive pretraining, and alignment techniques such as supervised fine‑tuning and preference optimization.

• [Blog] SWAM: Revisiting Swap and OOMK for Improving Application Responsiveness on Mobile Device

  Existing memory reclamation policies on mobile devices may be no longer valid because they have negative effects on the response time of running applications. In this paper, we propose SWAM, a new integrated memory management technique that complements the shortcomings of both the swapping and killing mechanism on mobile devices and improves the application responsiveness.

• SRPOL Vision 2025 Proclamation Ceremony

  On the 23rd of June, 2022 SRPOL Management hosted a special event: SRPOL Vision 2025 Proclamation Ceremony. During the event SRPOL Management officially shared our new Vision & Mission for the upcoming future.

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