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🔍 nojun kwak 📂 Computer Science
Showing 63 results for "nojun kwak" in Computer Science
Computer Science Preprint PDF DOI

Faster Approximate Linear Matroid Intersection

Tatsuya Terao · 2026

We consider a fast approximation algorithm for the linear matroid intersection problem. In this problem, we are given two $r \times n$ matrices $M_1$ and $M_2$, and the objective is to find a largest …

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Computer Science Preprint PDF DOI

A Three-stage Neuro-symbolic Recommendation Pipeline for Cultural Heritage Knowledge Graphs

Krzysztof Kutt, Elzbieta Sroka, Oleksandra Ishchuk, Luiz do Valle Miranda · 2026

The growing volume of digital cultural heritage resources highlights the need for advanced recommendation methods capable of interpreting semantic relationships between heterogeneous data entities. Th…

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Computer Science Preprint PDF DOI

CAPTS: Channel-Aware, Preference-Aligned Trigger Selection for Multi-Channel Item-to-Item Retrieval

Xiaoyou Zhou, Yuqi Liu, Zhao Liu, Xiao Lv, Bo Chen, Ruiming Tang, Guorui Zhou · 2026

Large-scale industrial recommender systems commonly adopt multi-channel retrieval for candidate generation, combining direct user-to-item (U2I) retrieval with two-hop user-to-item-to-item (U2I2I) pipe…

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Computer Science Preprint PDF DOI

Fast Agnostic Learners in the Plane

Talya Eden, Ludmila Glinskih, Sofya Raskhodnikova · 2025

We investigate the computational efficiency of agnostic learning for several fundamental geometric concept classes in the plane. While the sample complexity of agnostic learning is well understood, it…

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Computer Science Preprint PDF DOI

Exponential Error Bounds for Information Bottleneck Source Coding Problems

Han Wu, Hamdi Joudeh · 2025

We study the information bottleneck (IB) source coding problem, also known as remote lossy source coding under logarithmic loss. Based on a rate-limited description of noisy observations, the receiver…

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Computer Science Preprint PDF DOI

Klear-CodeTest: Scalable Test Case Generation for Code Reinforcement Learning

Jia Fu, Xinyu Yang, Hongzhi Zhang, Yahui Liu, Jingyuan Zhang, Qi Wang, Fuzheng Zhang, Guorui Zhou · 2025

Precise, correct feedback is crucial for effectively training large language models (LLMs) in code reinforcement learning. However, synthesizing high-quality test cases remains a profoundly challengin…

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Computer Science Preprint PDF DOI

FullRecall: A Semantic Search-Based Ranking Approach for Maximizing Recall in Patent Retrieval

Amna Ali, Liyanage C. De Silva, Pg Emeroylariffion Abas · 2025

Patent examiners and inventors face significant pressure to verify the originality and non-obviousness of inventions, and the intricate nature of patent data intensifies the challenges of patent retri…

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Computer Science Preprint PDF DOI

Enhancing Live Broadcast Engagement: A Multi-modal Approach to Short Video Recommendations Using MMGCN and User Preferences

Saeid Aghasoleymani Najafabadi, Elaheh Nabavi Nia · 2025

The purpose of this paper is to explore a multi-modal approach to enhancing live broadcast engagement by developing a short video recommendation system that incorporates Multi-modal Graph Convolutiona…

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Computer Science Preprint PDF DOI

Detecting Narrative Shifts through Persistent Structures: A Topological Analysis of Media Discourse

Mark M. Bailey, Mark I. Heiligman · 2025

How can we detect when global events fundamentally reshape public discourse? This study introduces a topological framework for identifying structural change in media narratives using persistent homolo…

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Computer Science Preprint PDF DOI

Error Exponents for Oblivious Relaying and Connections to Source Coding with a Helper

Han Wu, Hamdi Joudeh · 2025

The information bottleneck channel, also known as oblivious relaying, is a two-hop channel where a transmitter sends messages to a remote receiver via an intermediate relay node. A codeword sent by th…

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Computer Science Preprint PDF DOI

Tight Exponential Strong Converses for Lossy Source Coding with Side-Information and Distributed Function Computation

Shun Watanabe · 2025

The exponential strong converse for a coding problem states that, if a coding rate is beyond the theoretical limit, the correct probability converges to zero exponentially. For the lossy source coding…

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Computer Science Preprint PDF DOI

Sugar-Coated Poison: Benign Generation Unlocks LLM Jailbreaking

Yu-Hang Wu, Yu-Jie Xiong, Hao Zhang, Jia-Chen Zhang, Zheng Zhou · 2025

With the increasingly deep integration of large language models (LLMs) across diverse domains, the effectiveness of their safety mechanisms is encountering severe challenges. Currently, jailbreak atta…

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Computer Science Preprint PDF DOI

A Faster Algorithm for Maximum Weight Matching on Unrestricted Bipartite Graphs

Shawxing Kwok · 2025

Given a weighted bipartite graph $G = (L, R, E, w)$, the maximum weight matching (MWM) problem seeks to find a matching $M \subseteq E$ that maximizes the total weight $\sum_{e \in M} w(e)$. This pa…

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Computer Science Preprint PDF DOI

Creator-Side Recommender System: Challenges, Designs, and Applications

Xiaoshuang Chen, Yibo Wang, Yao Wang, Husheng Liu, Kaiqiao Zhan, Ben Wang, Kun Gai · 2025

Users and creators are two crucial components of recommender systems. Typical recommender systems focus on the user side, providing the most suitable items based on each user's request. In such scenar…

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Computer Science Preprint PDF DOI

KwicKwocKwac, a tool for rapidly generating concordances and marking up a literary text

Sebastian Barzaghi, Francesco Paolucci, Francesca Tomasi, Fabio Vitali · 2024

This paper introduces KwicKwocKwac 1.0 (KwicKK), a web application designed to enhance the annotation and enrichment of digital texts in the humanities. KwicKK provides a user-friendly interface that …

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Computer Science Preprint PDF DOI

Enhancing Playback Performance in Video Recommender Systems with an On-Device Gating and Ranking Framework

Yunfei Yang, Zhenghao Qi, Honghuan Wu, Qi Song, Tieyao Zhang, Hao Li, Yimin Tu, Kaiqiao Zhan, Ben Wang · 2024

Video recommender systems (RSs) have gained increasing attention in recent years. Existing mainstream RSs focus on optimizing the matching function between users and items. However, we noticed that us…

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Computer Science Preprint PDF DOI

Multi-view Hypergraph-based Contrastive Learning Model for Cold-Start Micro-video Recommendation

Sisuo Lyu, Xiuze Zhou, Xuming Hu · 2024

With the widespread use of mobile devices and the rapid growth of micro-video platforms such as TikTok and Kwai, the demand for personalized micro-video recommendation systems has significantly increa…

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Computer Science Preprint PDF DOI

Advancing Grounded Multimodal Named Entity Recognition via LLM-Based Reformulation and Box-Based Segmentation

Jinyuan Li, Ziyan Li, Han Li, Jianfei Yu, Rui Xia, Di Sun, Gang Pan · 2024

Grounded Multimodal Named Entity Recognition (GMNER) task aims to identify named entities, entity types and their corresponding visual regions. GMNER task exhibits two challenging attributes: 1) The t…

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Computer Science Preprint PDF DOI

CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems

Jie Sun, Zhaoying Ding, Xiaoshuang Chen, Qi Chen, Yincheng Wang, Kaiqiao Zhan, Ben Wang · 2024

The watch time is a significant indicator of user satisfaction in video recommender systems. However, the prediction of watch time as a target variable is often hindered by its highly imbalanced distr…

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Computer Science Preprint PDF DOI

Analyzing Misinformation Claims During the 2022 Brazilian General Election on WhatsApp, Twitter, and Kwai

Scott A. Hale, Adriano Belisario, Ahmed Mostafa, Chico Camargo · 2024

This study analyzes misinformation from WhatsApp, Twitter, and Kwai during the 2022 Brazilian general election. Given the democratic importance of accurate information during elections, multiple fact-…

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