ICML

2022–2026 LIVE

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Machine Learning

2026 · 6,341 papers

このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。

2026 · ICML
Linguistic Properties and Model Scale in Brain Encoding: From Small to Compressed Language Models
Subba Reddy Oota, Satya Sai Srinath Namburi GNVV, Vijay Rowtula, Khushbu Pahwa, Anant Khandelwal, Manish Gupta, Tanmoy Chakraborty, Raju Bapi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Linguistic Relative Policy Optimization for Video Anomaly Reasoning
Jiaxu Leng, Jiankang Zheng, Mengjingcheng Mo, Zhanjie Wu, Haosheng Chen, Ji Gan, Xinbo Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Lions and Muons: Optimization via Stochastic Frank-Wolfe under Heavy-Tailed Noise
Maria-Eleni Sfyraki, Jun-Kun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
LipoPU: Pocket-level Prediction of Lipid-Protein Interactions via Positive-Unlabeled Learning
Yuxing Wang, Wenyi Zhang, Yilong Zou, Jing Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Listening Through the Noise: Cauchy-Driven Diffusion Bridges for Robust Gastrointestinal Auscultation and Clinical Benchmarking
Dian Ding, Liren Dong, Yu Lu, Juntao Zhou, Ran Wang, Peng Li, Zhenyi Jia, Guangtao Xue
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
LitReview Arena: Evaluating Literature Review Agents with Battle-style Peer Review Platform
Ruotong Zhao, Zhiyu Chen, Xurui Liu, Haidong Xue, Dong Liang, Jigao Fu, Wu YanBiao, Yuanyi Zhen, Fengli Xu, Yong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
LiteVSR: Lightweight Adaptation of Frozen Diffusion Transformers for Video Super-Resolution
Yu Cao, Ziquan Liu, Zhensong Zhang, Jiankang Deng, Shaogang Gong, Jifei Song
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
LithoDreamer: A Physics-Informed World Model for Multi-Stage Computational Lithography
Yuqi Jiang, Yumeng Liu, Zimu Li, Jinyuan Deng, Qian Jin, Yucheng Cui, YU LI, Xunzhao Yin, Qi Sun, Cheng Zhuo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
LithoGRPO: Fast Inverse Lithography via GRPO Reinforced Flow Matching
Yao Lai, Xuyuan Xiong, Zeyue Xue, Guojin Chen, Jing Wang, Xihui Liu, Rui Zhang, Robert Mullins, Bei Yu, Ping Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Little By Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts
Haodong Lu, Chongyang Zhao, Minhui Xue, Lina Yao, Kristen Moore, Dong Gong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
LittleBit-2: Maximizing the Spectral Energy Gain in Sub-1-Bit LLMs via Latent Geometry Alignment
Banseok Lee, Youngmin Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
LiveFigure: Generating Editable Scientific Illustration with VLM Agents
Chenyang Shao, Jiahe Liu, Fengli Xu, Yong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
LiveNewsBench: Evaluating Web Search Agents with Freshly Curated News
Yunfan Zhang, Kathleen McKeown, Smaranda Muresan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
LiveOIBench: Can Large Language Models Outperform Human Contestants in Informatics Olympiads?
Kaijian Zou, Feiyang Xiong, Yunxiang Zhang, Xinliang Frederick Zhang, Yueqi Ren, Jirong Yang, Ayoung Lee, Shitanshu Bhushan, Lu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
LoBCD-GW: A Fast and Data-Dependent Algorithm for Computing Gromov-Wasserstein Distance via Localized Block Coordinate Descent
Jingni Song, Jiawei Huang, Kangke Cheng, Bangxian Han, Hu Ding
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
LoCoT2V-Bench: Benchmarking Long-Form and Complex Text-to-Video Generation
Xiangqing Zheng, CHENGYUE WU, Kehai Chen, Min zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
LoKiFormer: Locality-aware Attention with Decoupled Knowledge Memory for Efficient Large Language Model Pretraining
Qiuwu Chen, Zimo Liu, Yuchen Li, Ying Sun, Yifan Zhang, Zhijie Qiu, Zeng You, Ryan Dong, Simeng Ma, Yaofo Chen, Mingkui Tan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
LoPhyDA: Low-Rank Tensor and Physics Gradient Guided Diffusion for Atmospheric Data Assimilation
danyang peng, Yang Chen, Yunlong Zhou, Xiaotong Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
LoRA-DA: Data-Aware Initialization for Low-Rank Adaptation via Asymptotic Analysis
Qingyue Zhang, Chang Chu, Tianren Peng, Qi Li, Xiangyang Luo, Zhihao Jiang, Shao-Lun Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
LoRDO: Distributed Low-Rank Optimization with Infrequent Communication
Andrej Jovanović, Alex Iacob, Mher Safaryan, Ionut-Vlad Modoranu, Lorenzo Sani, Shen, Xinchi Qiu, Dan Alistarh, Nicholas Lane
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
LoRe: Adaptive Interaction-Evaluation Routing with Per-step Interaction Budgets for Iterative Graph Solvers
Jintao Li, Yong-Yi Wang, Zheng-An Wang, Heng Fan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
LoSA: Locality Aware Sparse Attention in Diffusion Language Models
Haocheng Xi, Harman Singh, Yuezhou Hu, Coleman Hooper, Rishabh Tiwari, Aditya Tomar, Minjae Lee, Wonjun Kang, Michael Mahoney, Chenfeng Xu, Kurt Keutzer, Amir Gholaminejad
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Local Constrained Bayesian Optimization
Jingzhe Jing, Zheyi Fan, Szu Hui Ng, Qingpei Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Local Covariate Selection for Average Causal Effect Estimation without Pretreatment and Causal Sufficiency Assumptions
Zeyu Liu, Zheng Li, Feng Xie, Yan Zeng, Hao Zhang, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Local Hessian Spectral Filtering for Robust Intrinsic Dimension Estimation
Genki Osada
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Local Intrinsic Dimension of Representations Predicts Alignment and Generalization in AI Models and Human Brain
Junjie Yu, Wenxiao Ma, Chen Wei, Jianyu Zhang, Haotian Deng, Zihan Deng, Quanying Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control
Julian Skifstad, Xinyue Annie Yang, Glen Chou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Local MAP Sampling for Diffusion Models
Shaorong Zhang, Rob Brekelmans, Greg Ver Steeg
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Local Mechanisms of Compositional Generalization
Arwen Bradley
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Local Minima in Quadratic-Penalty Relaxations of Binary Linear Programs
Cheng-Han Huang, Yongliang Sun, Chaoyan Huang, Ismail Alkhouri, Rongrong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Local Policies for Graph-Structured Markov Decision Processes
Fathima Faizal, Asuman Ozdaglar, Martin Wainwright
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Local Redundancy: An Information-Theoretic Measure of Plasticity from Synthetic Memorization
Jiaxuan Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Local-Minima-Preserving Polynomial Relaxation of Ising Problems
Debraj Banerjee, Santanu Mahapatra, Kunal Narayan Chaudhury
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Localize and Neutralize: Gradient-Guided Token Suppression Against Visual Prompt Injection Attack
Dongpeng Zhang, Ke Ma, Yangbangyan Jiang, Gaozheng Pei, Longtao Huang, Qianqian Xu, Qingming Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Localized, High-resolution Geographic Representations with Slepian Functions
Arjun Rao, Ruth Crasto, Tessa Ooms, David Rolnick, Konstantin Klemmer, Marc Rußwurm
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Localizing Memorized Regions in Diffusion Models via Coordinate-Wise Curvature Differences
Gwangho Kim, Sungyoon Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Locally Coherent Parallel Decoding in Diffusion Language Models
Michael Hersche, Nicolas Menet, Ronan Tanios, Abbas Rahimi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Locate then Correct: Debiasing Attention Heads in CLIP
Wei Yeo, Rui Mao, Moloud Abdar, Erik Cambria, Ranjan Satapathy
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Log-Normal Multiplicative Dynamics for Stable Low-Precision Deep Learning
Keigo Nishida, Eren Mehmet KIRAL, Kenichi Bannai, Mohammad Emtiyaz Khan, Thomas Moellenhoff
Machine Learning
日本大学: 慶應義塾大学
2026 · ICML
Logarithmic Switching Regret for Online Convex Optimization
Wenhao Yang, Yibo Wang, Yuanyu Wan, Lijun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
LogicSAGE: Neuro-Symbolic Reasoning with Socratic-Guided Enhancement
Jinlong Tian, Jiang Yu, Kewei Cheng, Fengxiang Cheng, Yue He, Yunfei Wang, Haotian Wang, Haoxuan Li, Wenjing Yang, Shixuan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Logical Guidance for the Exact Composition of Diffusion Models
Francesco Alesiani, Jonathan Warrell, Tanja Bien, Henrik Christiansen, Matheus Vitor Ferreira Ferraz, Mathias Niepert
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Logit Distance Bounds Representational Similarity
Beatrix M. G. Nielsen, Emanuele Marconato, Luigi Gresele, Andrea Dittadi, Simon Buchholz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Logit-Attention Divergence: Mitigating Position Bias in Multi-Image Retrieval via Attention-Guided Calibration
Mingtao Xian, Yifeng Yang, Qinying Gu, Xinbing Wang, Nanyang Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Long Grounded Thoughts: Synthesizing Visual Problems and Reasoning Chains at Scale
David Acuna, Chao-Han Huck Yang, Yuntian Deng, Jaehun Jung, Ximing Lu, Prithviraj Ammanabrolu, Hyunwoo Kim, Yuan-Hong Liao, Yejin Choi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Long Live The Balance: Information Bottleneck Driven Tree-based Policy Optimization
Hao Jiang, Shurui Li, Tianpeng Bu, Bowen Xu, Xin Liu, Qihua Chen, hongtao duan, lulu hu, Bin Yang, Minying Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Long-Context Modeling with Dynamic Hierarchical Sparse Attention for Memory-Constrained LLM Inference
Siheng Xiong, Joe Zou, Faramarz Fekri, Yae Jee Cho
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Long-Horizon Model-Based Offline Reinforcement Learning Without Explicit Conservatism
Tianwei Ni, Esther Derman, Vineet Jain, Vincent Taboga, Siamak Ravanbakhsh, Pierre-Luc Bacon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Long-term Fairness with Selective Labels
Giovani Valdrighi, Isabel Valera, Marcos M. Raimundo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
LongCoT: Benchmarking Long-Horizon Chain-of-Thought Reasoning
Sumeet Motwani, Daniel Nichols, Charles London, Peggy Li, Fabio Pizzati, Acer Blake, Hasan Hammoud, Tavish McDonald, Akshat Naik, Alesia Ivanova, Vignesh Baskaran, Ivan Laptev, Ruben Glatt, Tal Ben-Nun, Phil Torr, Ameya Pandurang Prabhu, Brian Bartoldson, Bhavya Kailkhura, Christian Schroeder de Witt
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Look on Demand: A Cognitive Scheduling Framework for Visual Evidence Acquisition in Multimodal Reasoning
Yang Zhang, Xiaoshuai Sun, Rui Zhao, Wujin Sun, Yidong Chen, Jiayi Ji, Qian Chen, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Lookahead Path Likelihood Optimization for Diffusion LLMs
Xuejie Liu, Vit Chun Yap, Yitao Liang, Anji Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion Models
Yeongmin Kim, Donghyeok Shin, Byeonghu Na, Minsang Park, Richard Lee Kim, IL CHUL MOON
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Lookahead Unmasking Elicits Reliable Decoding in Diffusion Language Models
Sanghyun Lee, Seungryong Kim, Jongho Park, Dongmin Park
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Lookahead-GCG: Improving Universal Multi-Model Optimization-Based Jailbreaking Attacks via Stochastic Nesterov Optimization
Rong Feng, Haohan Zhao, Shiqin Tang, Geng Liu, Song Lai, Meng Wang, Shuxin Zhuang, Yuqi Zha, Changyi Ma, Runsheng Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Looking Locally: Object-Centric Vision Transformers as Foundation Models for Efficient Segmentation
Manuel Traub, Martin V Butz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Loss-aware distributionally robust optimization via trainable optimal transport ambiguity sets
Jonas Ohnemus, Marta Fochesato, Riccardo Zuliani, John Lygeros
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Lost in Context: Adressing Context Anxiety in Large Language Models
Ifueko Igbinedion, Jillian Ross, Etienne Ricardez, Sertac Karaman, Eric So
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Lottery Prior: Randomized Neural Compression for Zero-Shot Inverse Problems
Haotian Wu, Di You, Pier Luigi Dragotti, Deniz Gunduz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Low Kruskal-Rank Adaptation
Yixing Xu, Guanchen Li, Chao Li, Xuanwu Yin, Dong Li, Spandan Tiwari, Ashish Sirasao, Emad Barsoum
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Low-Compute Watermark Removal via Dual-Domain Natural Projection
Pragati Meshram, Varun Chandrasekaran
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Low-Rank and Sparsity Are All You Need: Exploring Robust Hierarchical Latent Subspaces for Transferable Adversarial Attack
Shuangshuang Pu, Wen Yang, Min Li, guodong liu, Chris Ding, Di Ming
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Low-cost Full Fine-tuning: Learning What to Update for LLMs
Li, Yaming Guo, Shenghao Gao, Xinlong Chen, Zuhao Xu, Ying Sun, Chao Wang, Hui Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Low-dimensional topology of deep neural networks
Junyu Ren, Lek-Heng Lim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Lower Bounds for Frank-Wolfe on Strongly Convex Sets
Jannis Halbey, Daniel Deza, Max Zimmer, Christophe Roux, Bartolomeo Stellato, Sebastian Pokutta
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Lower Complexity Bounds for Nonconvex-Strongly-Convex Bilevel Optimization with First-Order Oracles
Kaiyi Ji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
M+Adam: Low-Precision Training via Additive–Multiplicative Optimization
Xiaoyuan Liang, Sebastian Loeschcke, Mads Toftrup, Anima Anandkumar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model
Yihang Liu, Longzhen Yang, Jiaxiong Yang, Ying Wen, Lianghua He, Heng Tao Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
M-Star: Markovian Projection of Star-Shaped Diffusion for Exponential Family Distributions
François Bertholom, Khalid Oublal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MA$^3$S: Model-Agnostic Active Annotation Strategy for Crowdsourcing
Wenjun Zhang, Liangxiao Jiang, Chaoqun Li, Shanshan Si
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MAC-NeRF: Motion-Aware Curriculum Learning for Dynamic LiDAR NeRFs
Shangshu Yu, Xiaotian Sun, Wen Li, Rui She, Hanyun Wang, Sheng Ao, Chenglu Wen, Cheng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MACD: Model-Aware Contrastive Decoding via Counterfactual Data for Video-LLMs
Qixin Xiao, Kun Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MAD: Manifold Attracted Diffusion
Dennis Elbrächter, Giovanni S. Alberti, Matteo Santacesaria
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MADA-Attack: Transferable Multi-modal Attention Distraction Adversarial Attack against Vision Language Models
Zhihan Qin, Jiahao Chen, Chunyi Zhou, Yuwen Pu, Chunqiang Hu, Xiaolei Liu, Shouling Ji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MADE: Benchmark Environments for Closed-Loop Materials Discovery
Shreshth Malik, Tiarnan Doherty, Panagiotis Tigas, Muhammed Razzak, Stephen Roberts, Aron Walsh, Yarin Gal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MAFE: Enabling Equitable Algorithm Design in Multi-Agent Multi-Stage Decision-Making Systems
Zachary Lazri, Anirudh Nakra, Ivan Brugere, Danial Dervovic, Antigoni Polychroniadou, Furong Huang, Dana Dachman-Soled, Min Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MAGIC: A Co-Evolving Attacker–Defender Adversarial Game for Robust LLM Safety
Xiaoyu Wen, Zhida He, Han Qi, Ziyu Wan, Zhongtian Ma, Ying Wen, Tianhang Zheng, Xingcheng Xu, Chaochao Lu, Qiaosheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MAGIC: Multi-Granularity Language-Informed Image Clustering
Xiaohan Zhang, Chao Zhang, Chunlin Chen, Huaxiong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MALICE: Memory-aware Loop Invariants Generation on Symbolic Execution Traces
Tong Chen, Siyu Liu, Hongyi Zhong, liao zhang, Lixiang Wang, Xiwei Wu, Junchi Yan, Qinxiang Cao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MAMBO-G: Magnitude-Aware Mitigation for Boosted Guidance
Shangwen Zhu, Qianyu Peng, Zhilei Shu, Yuting Hu, Han Zhang, Andy Zheng, Xinyu Cui, Jian Zhao, Ruili Feng, Fan Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MAPS: Memory-Aware Predictive Scheduling Framework for Large Language Model Serving
Tiancheng Zhang, Yulin Chen, Yunfeng Zhao, Shaoyuan Huang, Cheng Zhang, Xiaofei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MARS-SQL: A Multi-Agent Reinforcement Learning Framework For Text-To-SQL
Haolin Yang, Jipeng Zhang, Zhitao He, Alexander Zhou, Yi Fung
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MARS: Modular Agent with Reflective Search for Automated AI Research
Jiefeng Chen, Bhavana Dalvi Mishra, Jaehyun Nam, Rui Meng, Tomas Pfister, Jinsung Yoon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MAS-Architect: Declarative Multi-Agent System Design via Separation of Concerns
Jing Huang, Lidong Zhang, Mutian Bao, Yadong Li, Xingzhong Xu, Jinjian Zhang, Jie Liu, Ming Kong, Qiang Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks
Zixuan Ke, Yifei Ming, Austin Xu, Ryan Chin, Xuan-Phi Nguyen, Prathyusha Jwalapuram, Jiayu Wang, Semih Yavuz, Caiming Xiong, Shafiq Joty
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems
Vishal Venkataramani, Haizhou Shi, Zixuan Ke, Austin Xu, Xiaoxiao He, Yingbo Zhou, Semih Yavuz, Hao Wang, Shafiq Joty
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MASH: Modeling Abstention via Selective Help-Seeking
Mustafa Omer Gul, Claire Cardie, Tanya Goyal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems
Zhexuan Wang, Xuebo Liu, Li Wang, Zifei Shan, Yutong Wang, Zhenxi Song, Min zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks
Zhi Hong, Qian Zhang, Jiahang Sun, Zhiwei Shang, Mingze Kong, Xiangyi Wang, Yao Shu, Zhongxiang Dai
Machine Learning
日本大学: 東京大学
2026 · ICML
MAST: Motif-Augmented Diffusion with Search Tree for Spectroscopic Molecular Structure Elucidation
Chenghao Jia, Mengdi Liu, Hong Chang, Shiguang Shan, Xilin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MAVRL: Learning Reward Functions from Multiple Feedback Types with Amortized Variational Inference
Raphaël Baur, Yannick Metz, Maria Gkoulta, Mennatallah El-Assady, Giorgia Ramponi, Thomas Kleine Buening
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MAnchors: Memorization-Based Acceleration of Anchors via Rule Reuse and Transformation
Haonan Yu, Junhao Liu, Xin Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MC-HNN: Learning Latent Structural Semantics and High-Rank Representations for Hypergraph Neural Networks
Shuyang Fang, Yuqin Huang, Zelong Yang, Yintao Cai, Xiaoping Min
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MCCE: A Framework for Multi-LLM Collaborative Search in Discrete Spaces with Similarity-Filtered Preference Learning
Nian Ran, Zhongzheng Li, Yue Wang, Qingsong Ran, Xiaoyuan Zhang, Shikun Feng, Richard Allmendinger, Xiaoguang Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MCP-Persona: Benchmarking LLM Agents on Real-World Personal Applications via Environment Simulation
Wenhao Wang, Peizhi Niu, Gongyi Zou, Xiyuan Yang, Jingxing Wang, Haoting Shi, Yaxin Du, Jingyi Chai, Xianghe Pang, shuo tang, Yanfeng Wang, Siheng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training
Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Xinyan Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MDN: Parallelizing Stepwise Momentum for Delta Linear Attention
Yulong Huang, Xiang Liu, Hongxiang Huang, Xiaopeng LIN, Zunchang LIU, Xiaowen Chu, Zeke Xie, Bojun Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning
Tristan Tomilin, Luka van den Boogaard, Samuel Garcin, Constantin Ruhdorfer, Bram Grooten, Fabrice Kusters, Yali Du, Andreas Bulling, Mykola Pechenizkiy, Meng Fang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MEC: Machine-Learning-Assisted Generalized Entropy Calibration for Semi-Supervised Mean Estimation
Se Yoon Lee, Jae-kwang Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MECAT: A Multi-Experts Constructed Benchmark for Fine-Grained Audio Understanding Tasks
Yadong Niu, TIANZI WANG, Heinrich Dinkel, Xingwei Sun, Jiahao Zhou, Gang Li, Jizhong Liu, Xunying Liu, Jian Luan
Machine Learning
日本大学: 関与なし（対象大学）