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• Multi-Agent VLMs Guided Self-Training with PNU Loss for Low-Resource Offensive Content Detection

  Han Wang, Deyi Ji, Junyu Lu, Lanyun Zhu, Hailong Zhang, Haiyang Wu, Liqun Liu, Peng Shu, Roy Ka-Wei Lee

  39387-39396

  2026-03-14

• Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning

  Min Gao, Haifeng Zheng, Xinxin Feng, Ran Tao

  16736-16744

  2025-04-11

• Evolutionary Large Language Model for Automated Feature Transformation

  Nanxu Gong, Chandan K Reddy, Wangyang Ying, Haifeng Chen, Yanjie Fu

  16844-16852

  2025-04-11

• Pareto Set Learning for Multi-Objective Reinforcement Learning

  Erlong Liu, Yu-Chang Wu, Xiaobin Huang, Chengrui Gao, Ren-Jian Wang, Ke Xue, Chao Qian

  18789-18797

  2025-04-11

• LiD-FL: Towards List-Decodable Federated Learning

  Hong Liu, Liren Shan, Han Bao, Ronghui You, Yuhao Yi, Jiancheng Lv

  18825-18833

  2025-04-11

• Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning

  Mushui Liu, Fangtai Wu, Bozheng Li, Ziqian Lu, Yunlong Yu, Xi Li

  18906-18914

  2025-04-11

• Causal Inference Under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects

  Kohsuke Kubota, Shonosuke Sugasawa

  36688-36695

  2026-03-14

• Adaptive-Grained Label Distribution Learning

  Yunan Lu, Weiwei Li, Dun Liu, Huaxiong Li, Xiuyi Jia

  19161-19169

  2025-04-11

• Linear Time Algorithms for Individually Fair k-means via Multi-Swap Local Search

  Beirong Cui, Qilong Feng, Junyu Huang

  20650-20657

  2026-03-14

• Treasures in Discarded Weights for LLM Quantization

  Hao Yu, Yang Zhou, Bohua Chen, Zelan Yang, Shen Li, Yong Li, Jianxin Wu

  22218-22226

  2025-04-11

• AAKR: Adversarial Attack-based Knowledge Retention for Continual Semantic Segmentation

  Zhidong Yu, Xiaoman Liu, Jiajun Hu, Zhenbo Shi, Wei Yang

  22245-22253

  2025-04-11

• ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models

  Chao Zeng, Songwei Liu, Yusheng Xie, Hong Liu, Xiaojian Wang, Miao Wei, Shu Yang, Fangmin Chen, Xing Mei

  22299-22307

  2025-04-11

• Learning Robust and Privacy-Preserving Representations via Information Theory

  Binghui Zhang, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang

  22363-22371

  2025-04-11

• LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning

  Li Zhang, Chaochao Chen, Zhongxuan Han, Qiyong Zhong, Xiaolin Zheng

  22470-22478

  2025-04-11

• EchoDiffusion: Waveform Conditioned Diffusion Models for Echo-Based Depth Estimation

  Wenjie Zhang, Jun Yin, Long Ma, Peng Yu, Xiaoheng Jiang, Zhen Tian, Mingliang Xu

  22578-22586

  2025-04-11

• Multi-View Empowered Structural Graph Wordification for Language Models

  Zipeng Liu, Likang Wu, Ming He, Zhong Guan, Hongke Zhao, Nan Feng

  24714-24722

  2025-04-11

• Controlling Equational Reasoning in Large Language Models with Prompt Interventions

  Jordan Meadows, Marco Valentino, André Freitas

  24858-24866

  2025-04-11

• Resource Constrained Pathfinding with Enhanced Bidirectional A* Search

  Saman Ahmadi, Andrea Raith, Guido Tack, Mahdi Jalili

  26878-26885

  2025-04-11

• Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks

  Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang

  26947-26954

  2025-04-11

• Searching for Unfairness in Algorithms’ Outputs: Novel Tests and Insights

  Ian Davidson, S. S. Ravi

  27242-27249

  2025-04-11

• LEGEND: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets

  Duanyu Feng, Bowen Qin, Chen Huang, Youcheng Huang, Zheng Zhang, Wenqiang Lei

  27277-27285

  2025-04-11

• SMLE: Safe Machine Learning via Embedded Overapproximation

  Matteo Francobaldi, Michele Lombardi

  27286-27294

  2025-04-11

• Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation

  Jogendra Nath Kundu, Siddharth Seth, Rahul M V, Mugalodi Rakesh, Venkatesh Babu Radhakrishnan, Anirban Chakraborty

  11312-11319

  2020-04-03

• Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models

  Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu

  28955-28963

  2025-04-11

• CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting

  Haoxin Wang, Yipeng Mo, Kunlan Xiang, Nan Yin, Honghe Dai, Bixiong Li, Songhai Fan, Site Mo

  21090-21098

  2025-04-11