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ACML 2025

79 papers

Learning Curves of Classification Metrics based on Confusion Matrices

Yan Xue, Ruibo Wang, Xuefei Cao, Jing Yang, Jihong Li

Suicidal Posts Detection System Incorporating Psychological Risk Factors

Chih-Ning Chen, Chieh-Jou Lin, Kunhua Lee, Yu Ping Ma, Kuo-Liang Ou

KVCrush: Key Value Cache size-reduction using similarity in head-behaviour

Gopi Krishna Jha, Sameh Gobriel, Liubov Talamanova, Nilesh Jain

Risk-Averse Best Arm Set Identification with Fixed Budget and Fixed Confidence

Shunta Nonaga, Koji Tabata, Yuta Mizuno, Tamiki Komatsuzaki

Bridging the Gap between Learning and Inference for Diffusion-Based Molecule Generation

Peidong Liu, Wenbo Zhang, Wei Ju, Jiancheng Lv, Xianggen Liu

Direct Quantized Training of Language Models with Stochastic Rounding

Kaiyan Zhao, Tsuguchika Tabaru, Kenichi Kobayashi, Takumi Honda, Masafumi Yamazaki

SEMINAR: SEMantic InformatioN Augmented JailbReak Attack in LLM

Junjie Yang, Fenghua Weng, Yue Xu, Wenjie Wang

Efficient Subsampling for GNN Downstream Tasks

Hirad Daneshvar, Reza Samavi

MagicMask: A Fast and High-fidelity Face Swapping Method Robust to Face Pose

Jongmin Yu, Anoushka Harit, Jiankang Deng, Shan Luo, Jinhong Yang

SAFE: Spiking Neural Network-based Audio Fidelity Evaluation

Aaditya Arunkumar Khant, Raveen Wijewickrama, Murtuza Jadliwala

CAD-HLLM: Generating Executable CAD from Text with Hierarchical LLM Planning

Zhuo Zuo, Yantao Gan, Junfeng Long, Xianggen Liu

CAP: Conformalized Abstention Policies for Context-Adaptive Risk Management for LLMs and VLMs

Sina Tayebati, Divake Kumar, Nastaran Darabi, Dinithi Jayasuriya, Theja Tulabandhula

HIPPD: Brain-Inspired Hierarchical Information Processing for Personality Detection

Guanming Chen, Lingzhi Shen, Xiaohao Cai, Imran Razzak, Shoaib Jameel

SparseSegNet: A Boundary-Aware Lightweight Segmentation Architecture for Skin Lesions

Soma Dasgupta, Swarnava Dey, Arijit Mukherjee, Arpan Pal

On the Privacy-preserving Generalized Eigenvalue Problem

Wei-Hong Chen, YU-FENG HUANG, Chen Yu Lee, Hung Yi Chen, Shi-Chun Tsai

Dual-Module Collaborative LoRA for Effective Large Language Model Fine-Tuning

Lecheng Cao, Junhao Zhang, Xiaohan Zhang, Huaxiong Li

RSTSIC: Reparameterized Swin Transformer Stereo Image Compression

Yuxuan Zhao, Junwei Zhou, Jiaxin Li, Cheng Tan, Jianwen Xiang

Domain Adaptation with Hybrid Modeling for Learning Dynamical Systems

Akira Osaka, Naoya Takeishi, Takehisa Yairi

TAEGAN: Revisit GANs for Tabular Data Generation

Jiayu Li, Zilong Zhao, Kevin Yee, Uzair Javaid, Biplab Sikdar

TLSD: Breaking the Limit of Topological Lane Mapping with Graph Knowledge and Distance Awareness

Anh Nguyen Trong, Gia-Bao Phan, Minh Tri Huynh, Duc Dung Nguyen

$δ$-STEAL: LLM Stealing Attack with Local Differential Privacy

Kieu Dang, Phung Lai, Hai Phan, Yelong Shen, Ruoming Jin

POIL:Preference Optimization for Imitation Learning

Kuanyen Liu, Renjyun Huang, Chang Chih Meng, I-Chen Wu

Continual Pre-Training is (not) What You Need in Domain Adaptation

Pin-Er Chen, Da Chen Lian, Shu-Kai Hsieh, SIEH-CHUEN HUANG, Hsuan-Lei Shao

Sampling Boundary for Causal Effect Estimation

Yue Yin, Jiaoyun Yang, Ning An, Lian Li

Kairos: Redefining Event and Time Prediction with Language Modeling

Akash Gupta, Sahil Verma, Sumit Bisht, Nitika Verma, Purav Aggarwal

Graph Mediator Networks Bridging Local and Global Semantics via Serial Message Passing

Jiangfeng Sun, Sihao He, Yanlong Lin, Zhonghong Ou, Meina Song

Graph-Attention Network with Adversarial Domain Alignment for Robust Cross-Domain Facial Expression Recognition

Razieh Ghaedi, AmirReza BabaAhmadi, Reyer Zwiggelaar, Xinqi Fan, Nashid Alam

High-Order Consistency-Guided User Identity Linkage with Large Language Model

Tianpeng Li, Xiangjun Pei, Yinghui Wang, Qiyao Peng, Wenjun Wang

GIIM: A Graph Information Integration Method for Chinese-Kazakh CLIR

Ping Hu, He Yang, Changle Yin, Tao Wang, Yuchao Chen

Jailbreak Defense in LLM via Attention Head Analysis and Selective Intervention

Masaki Arai, Toshiki Shibahara, Daiki Chiba, Mitsuaki Akiyama, Masato Uchida

Balancing Knowledge Updates: Toward Unified Modular Editing in LLMs

Jiahao Liu, Zijian Wang, Zhao Kuo, Dong Hu

Asymptotically Optimal Problem-Dependent Bandit Policies for Transfer Learning

Adrien Prevost, Timothée Mathieu, Odalric-ambrym Maillard

Overcoming Domain Knowledge Forgetting in Continual Test-Time Adaptation via Siamese Networks

Zhihong Xu, Wenjun Shi, Dongchen Zhu, Xiaolin Zhang, Lei Wang

Round Attention: A Novel Round-Level Attention Mechanism to Accelerate LLM Inference

Yaohua Tang, Zhicheng Hu, Kun Cheng, Fan Mo, Qiheng Lyu

AHSG: Adversarial Attack on High-level Semantics in Graph Neural Networks

Kai Yuan, Jiahao Zhang, Yidi Wang, Pei Xiaobing

Multi-thresholding Good Arm Identification with Bandit Feedback

Xuanke Jiang, Sherief Hashima, Kohei Hatano, Eiji Takimoto

Punching Above Precision: Small Quantized Model Distillation with Learnable Regularizer

Abdur Rehman, S M A Sharif, Md Abdur Rahaman, Mohamed Jismy Aashik Rasool, Seongwan Kim