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
RELO: Reinforcement Learning to Localize for Visual Object Tracking
Xin Chen, Chuanyu Sun, Jiao Xu, Houwen Peng, Dong Wang, Huchuan Lu, Kede Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
REST: Diffusion-based Real-time End-to-end Streaming Talking Head Generation via ID-Context Caching and Asynchronous Streaming Distillation
Haotian Wang, Yuzhe Weng, Jun Du, Haoran Xu, Xiaoyan Wu, Shan He, Bing Yin, Cong Liu, Qingfeng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
REVIS: Sparse Latent Steering to Mitigate Object Hallucination in Large Vision-Language Models
Jialin Wu, Wei Shi, Han Shen, Peigui Qi, Kunsheng Tang, Zhicong Huang, Binghao Wang, Zhou Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
REViT: Roto-reflection Equivariant Convolutional Vision Transformer
Sheir A. Zaheer, Alexander Holston, Chan Youn Park
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RGGT: A Generative-Prior-Guided Transformer for Unified Rigid and Non-Rigid Point Cloud Registration
Chengyu Zheng, Songlin Yang, Jin Huang, Honghua Chen, Weiming Wang, Haoran Xie, Fu Lee Wang, Mingqiang Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RGMem: Renormalization Group–inspired Memory Evolution for Language Agents
Ao Tian, Yunfeng Lu, Xinxin Fan, Changhao Wang, Lanzhi Zhou, Yeyao Zhang, Yanfang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RL with Learnable Textual Feedback: A Bilevel Approach
Utsav Singh, Sidhaarth Murali, Souradip Chakraborty, Amrit Singh Bedi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs
Tae-Hoon Lee, Min-Soo Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RL4RLA: Teaching ML to Discover Randomized Linear Algebra Algorithms Through Curriculum Design and Graph-Based Search
Jinglong Xiong, Xiaotian Liu, Ruoxin Wang, Zihang Liu, Yefan Zhou, Yujun Yan, Yaoqing Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System
Yinjie Wang, Tianbao Xie, Ke Shen, Mengdi Wang, Ling Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RLCracker: Evaluating the Worst-Case Vulnerability of LLM Watermarks with Adaptive RL Attacks
Hanbo Huang, Yiran Zhang, Hao Zheng, Xuan Gong, Yihan Li, Lin Liu, Zhuotao Liu, Shiyu Liang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models
Yang Yang, Hua XU, Zhangyi Hu, Yutao Yue
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RLSF-V: Mitigating Hallucinations in MLLMs via Fuzzy Semantic Self-Feedback
Changhao He, ShuhaoYan, Shuxian Li, Xi Peng, Peng Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments
Zhiyuan Zeng, Hamish Ivison, Yiping Wang, Lifan Yuan, Stella Li, Zhuorui Ye, Siting Li, Jacqueline He, Runlong Zhou, Tong Chen, Chenyang Zhao, Yulia Tsvetkov, Simon Du, Natasha Jaques, Hao Peng, Pang Wei Koh, Hannaneh Hajishirzi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization
Shenyang Deng, Zhuoli Ouyang, Tianyu Pang, Zihang Liu, Ruochen Jin, Shuhua Yu, Yaoqing Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RN-D: Discretized Categorical Actors for On-Policy Reinforcement Learning
Yuexin Bian, Jie Feng, Tao Wang, Yijiang Li, Sicun Gao, Yuanyuan Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RNA-FM: Flow-Matching Generative Model for Genome-wide RNA-Seq Prediction
Yaxuan Song, Jianan Fan, Tianyi Wang, Qiuyue Hu, Hang Chang, Heng Huang, Weidong Cai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ROAMM: A Benchmark Dataset for Multimodal Human Attention Decoding and EEG-to-Text Modeling During Naturalistic Reading
Haorui Sun, Ardyn Olszko, Niharika Singh, David Jangraw
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RQ-MoE: Residual Quantization via Mixture of Experts for Efficient Input-Dependent Vector Compression
Zhengjia Zhong, Shuyan Ke, Zaizhou Lin, Jiaqi Song, Hongyi Lan, Hui Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RSA-CP: Efficient Conformal Prediction in Small-Sample Regimes via Random Score Alignment
Pankaj Bhagwat, Zhixian Yang, yihao wang, Bei Jiang, Linglong Kong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RSAgent: Learning to Reason and Act via Multi-Turn Tool Invocations for Text-Guided Segmentation
Xingqi He, Yujie Zhang, Shuyong Gao, Wenjie Li, Lingyi Hong, Mingxi Chen, Kaixun Jiang, Jiyuan Fu, Wenqiang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RSF-GLLM: Bridging the Semantic Gap in Multi-Hop Knowledge Graph QA via Recurrent Soft-Flow and Decoupled LLM Generation
Sambaran Bandyopadhyay, Ananth Muppidi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RSPO: Regularized Self-Play Alignment of Large Language Models
Xiaohang Tang, Sangwoong Yoon, Seongho Son, Huizhuo Yuan, Quanquan Gu, Ilija Bogunovic
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RSTR: Reducing SpatioTemporal Redundancy in Diffusion Transformers
Ruitong Sun, Tianze Yang, Wei Niu, Jin Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models
Xing Cong, Hanlin Tang, Kan Liu, Lan Tao, Lin Qu, chenhao xie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RTInfer: Real-Time Inference of Multiple DNNs on Edge GPUs
Renjie Li, Tong Sun, Yi Gao, Wei Dong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RTPrune: Reading-Twice Inspired Token Pruning for Efficient DeepSeek-OCR Inference
Ben Wan, Yan Feng, Zihan Tang, Weizhe Huang, Yuting Zeng, Jia Wang, Tongxuan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RVAS: Referring Video Active Exploration and Segmentation
Hengrui Hu, Weiwei Gao, Zipei Zhang, Henghui Ding
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RaBiT: Residual Aware Binarization Training for Accurate and Efficient LLMs
Youngcheon You, Banseok Lee, Minseop Choi, Seonyoung Kim, Hyochan Chong, Changdong Kim, Youngmin Kim, Dongkyu Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RaBitQCache: Rotated Binary Quantization for KVCache in Long Context LLM Inference
Wenhao Li, Jinhao Dong, Hailin Zhang, Wenhang Shi, WEI LU, Xiaoyong Du
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RaGEP: Rank-aware Geometric Expert Pruning for Mixture-of-Experts Language Models
Wentao Hu, Zeyu Zhu, Mingkuan Zhao, Zhenhua An, Yanbo Zhai, Shanhong yu, Huilin Zhou, Xin Lai, Xiaoyan Zhu, Jiayin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Radial Scaling Voxelization for Accurate Small Object 3D Detection
Hao Liu, Yi Zhou, Yanni Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Ramba: Selective State-Space Models for Relational Deep Learning
Yiming Liu, Chunyu Wei, haozhe lin, Fengjun Xiao, Junqi Zhang, Yunhai Wang, Yueguo Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Random Process Flow Matching: Generative Implicit Representations of Multivariate Random Fields
Julien Lalanne, David Picard, Lionel Boillot, Lina-María GUAYACÁN-CARRILLO, Leon Barens, Jean-Michel Pereira
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Random Scaling of Emergent Capabilities
Rosie Zhao, Tian Qin, David Alvarez-Melis, Sham Kakade, Naomi Saphra
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Random Selection Reveals Implicit Knowledge Consensus in Code Generation
Ren-Biao Liu, Li Xin-Ye, Hui Sun, Yali Du, Jiang-Tian Xue, Ming Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Randomized Advantage Transformation (RAT): Computing Natural Policy Gradients via Direct Backpropagation
Mingfei Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Randomized Feasibility Methods for Constrained Optimization with Adaptive Step Sizes
Abhishek Chakraborty, Angelia Nedich
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Rank-Aware Spectral Bounds on Attention Logits for Stable Low-Precision Training
Seyed Morteza Emadi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Rank-Learner: Orthogonal Ranking of Treatment Effects
Henri Arno, Dennis Frauen, Emil Javurek, Thomas Demeester, Stefan Feuerriegel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Rank-guided Diffusion for Noise Few-Shot Learning
Zelei Wu, Kun Zhou, xulun ye, Yifan Mei, Jie Hong, Jieyu Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains
Yash Saxena, Ankur Padia, Mandar Chaudhary, Kalpa Gunaratna, Srinivasan Parthasarathy, Manas Gaur
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Ranking Time Series using a Time Warping Ideal Point Model
Lucas Zoroddu, Pierre Humbert, Laurent Oudre
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Rapid Poison: Practical Poisoning Attacks Against the Rapid Response Framework
David Huang, Jaewon Chang, Avidan Shah, Prateek Mittal, Chawin Sitawarin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Rare Event Analysis of Large Language Models
Jake McAllister Dorman, Edward Gillman, Dominic C Rose, Jamie Mair, Juan Garrahan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Rashomon Sets of Falling Trees
Varun Babbar, Zachery Boner, Margo Seltzer, Cynthia Rudin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Rate or Fate? RLV$^{\varepsilon}$R: Reinforcement Learning with Verifiable Noisy Rewards
Ali Rad, Khashayar Filom, Darioush Keivan, Peyman Mohajerin Esfahani, Ehsan Kamalinejad
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Ratio-Variance Regularized Policy Optimization
Yu Luo, Shuo Han, Yihan Hu, Lei Lv, Huaping Liu, Fuchun Sun, Jianye Hao, Dong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Rational Neural Networks have Expressivity Advantages
Maosen Tang, Alex Townsend
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Rational Transductors
Mehryar Mohri
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Rationality Measurement and Theory for Reinforcement Learning Agents
Kejiang Qian, Amos Storkey, Fengxiang He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Rays as Pixels: Learning A Joint Distribution of Video and Camera Trajectories
Wonbong Jang, Shikun Liu, Soubhik Sanyal, Juan Perez, Kam Woh Ng, Sanskar Agrawal, Juan-Manuel Perez-Rua, Yiannis Douratsos, Tao Xiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Re-FORC: Adaptive Reward Prediction for Efficient Chain-of-Thought Reasoning
Renos Zabounidis, Aditya Golatkar, Michael Kleinman, Alessandro Achille, Wei Xia, Stefano Soatto
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ReAugment: Targeted Few-Shot Time Series Augmentation via Model Zoo-Guided Reinforcement Learning
Haochen Yuan, Yutong Wang, Yihong Chen, Yunbo Wang, Xiaokang Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ReCoG: Relational and Compact Context Graph Learning for Few-shot Molecular Property Prediction
Zeyu Wang, Xin Zheng, Yao Lu, Shanqing Yu, Qi Xuan, Shirui Pan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ReGen: Hierarchical Multi-Prompt Representation Generation for Efficient Waveform Diffusion Models
Sang-Hoon Lee, Ha-Yeong Choi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ReJump: A Tree-Jump Representation for Analyzing and Improving LLM Reasoning
Yuchen Zeng, Shuibai Zhang, Wonjun Kang, Shutong Wu, Lynnix Zou, Ying Fan, Heeju Kim, Ziqian Lin, Jungtaek Kim, HYUNG IL KOO, Dimitris Papailiopoulos, Kangwook Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ReLAM: Learning Anticipation Model for Rewarding Visual Robotic Manipulation
Nan Tang, Jing-Cheng Pang, Guanlin Li, Chao Qian, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ReMoE: Boosting Expert Reuse through Router Fine-Tuning in Memory-Constrained MoE LLM Inference
Xiongwei Zhu, Xiaojian Liao, Tianyang Jiang, Yusen Zhang, Liang Wang, Limin Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ReNF: Rethinking the Design of Neural Long-Term Time Series Forecasters
Yihang Lu, Xianwei Meng, Enhong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RePack then Refine: Efficient Diffusion Transformers with Vision Foundation Models
Guanfang Dong, Luke Schultz, Negar Hassanpour, Chao Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RePo: Language Models with Context Re-Positioning
Huayang Li, Tianyu Zhao, Deng Cai, Richard Sproat
Machine Learning
日本大学: 奈良先端科学技術大学院大学
2026 · ICML
RePro: Training Language Models to Faithfully Recycle the Web for Pretraining
Zichun Yu, Chenyan Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ReQAT: Achieving Full-Precision Reasoning Accuracy with 4-bit Floating-Point Quantization-Aware Training
Janghwan Lee, Sihwa Lee, Jinseok Kim, Yongjik Kim, Jieun Lim, Jinwook Oh, Jungwook Choi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ReSeek: A Self-Correcting Framework for Search Agents with Instructive Rewards
Shiyu Li, Yifan Wang, Peiming Li, Zheng Wei, Yang Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ReSpinQuant: Efficient Layer-Wise LLM Quantization via Subspace Residual Rotation Approximation
Suyoung Kim, Sunghyun Wee, Hyeonjin Kim, Kyomin Hwang, Hyunho Lee, NOJUN KWAK
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ReTabSyn: Realistic Tabular Data Synthesis via Reinforcement Learning
Xiaofeng Lin, Seungbae Kim, Zhuoya Li, Zachary DeSoto, Charles Fleming, Guang Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ReVSI: Rebuilding Visual Spatial Intelligence Evaluation for Accurate Assessment of VLM 3D Reasoning
Yiming Zhang, Jiacheng Chen, Jiaqi Tan, Yongsen Mao, Wenhu Chen, Angel X Chang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ReViT: Rotational-equivariant Vision Transformers for Neural PDE Solvers
Hao Wei, Björn List, Nils Thuerey
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ReaForest: Fostering Generative Video Reasoning for Spatial Planning
Kun Ouyang, Yuanxin Liu, Xinhao Li, Linli Yao, Xiangyu Zeng, Haoning Wu, Hao Zhou, Fandong Meng, Jie Zhou, Xu SUN
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reading Between the Tokens: Improving Preference Predictions through Mechanistic Forecasting
Sarah Ball, Simeon Allmendinger, Frauke Kreuter, Niklas Kühl
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reading the Cell, Designing the Cure: Perturbation-Conditioned Molecular Diffusion for Function-Oriented Drug Design
ZIYU XU, zijian zhang, Liang Wang, Zhiyuan Liu, Qiang Liu, Shu Wu, Liang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Real Data Lies: Unveiling and Closing the Quality Shortcut in Generalizable AI-Generated Video Detection
Ziyuan Fang, Tianyi Wei, Guanjie Wang, Weiming Zhang, Nenghai Yu, Wenbo Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Real-Time Aligned Reward Model beyond Semantics
Zixuan Huang, Xin Xia, Yuxi Ren, Jianbin Zheng, Xuefeng Xiao, Hongyan Xie, Huaqiu Li, Songshi Liang, Zhongxiang Dai, Fuzhen Zhuang, Jianxin Li, Yikun Ban, deqing wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Real-Time Monitoring and Calibration of Chain-of-Thought Sycophancy in Large Reasoning Models
Jingyu Hu, Shu Yang, Xilin Gong, Hongming Wang, Weiru Liu, Di Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Real-Time Visual Attribution Streaming in Thinking Model
Seil Kang, Woojung Han, Junhyeok Kim, Jinyeong Kim, Youngeun Kim, Seong Jae Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Real-World Unsupervised Models Generalize to Predict Brain Responses to Out-of-Distribution Stimuli
Chenggang Chen, Zhiyu Yang, Xiaoqin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RealisMotion: Decomposed Human Motion Control and Video Generation in the World Space
Jingyun Liang, Jingkai Zhou, Shikai Li, Chenjie Cao, Lei Sun, Yichen Qian, Weihua Chen, Fan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Realizable Bayes-Consistency for General Metric Losses
Dan Tsir Cohen, Steve Hanneke, Aryeh Kontorovich
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
RealtimeTool: Parallel Decoding for Real-Time LLM Function Calling
Xiaoxin Shi, Jiaxin Wan, Linkang Dong, Wei Jiang, Yue Liu, Zengfeng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reason with Thumbnails, Answer with Focus: An Efficient and Effective Paradigm for Multimodal Grounded Visual Reasoning
An-Lan Wang, Guozhi Tang, Lei Liao, Hanshen Zhu, Kai Huang, Jingqun Tang, Jiaming Zhou, Kun-Yu Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reason, Then Re-reason: Cross-view Revisiting Improves Spatial Reasoning
Chaofan Ma, Zhenjie Mao, Yuhuan Yang, Fanqin Zeng, Yue Shi, Yingjie Zhou, Xiaofeng Cao, Jiangchao Yao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ReasonEdit: Editing Vision--Language Models using Human Reasoning
Jiaxing Qiu, Kaihua Hou, Roxana Daneshjou, Ahmed Alaa, Thomas Hartvigsen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reasoning Cache: Continual Improvement Over Long Horizons via Short-Horizon RL
Ian Wu, Yuxiao Qu, Amrith Setlur, Aviral Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reasoning Can Be Restored by Correcting a Few Decision Tokens
Shen Changshuo, Leheng Sheng, Yuxin Chen, Xiang Wang, An Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reasoning Compartmentalization: Bridging the Concretization Gap via Abstraction-based Routing
Ling-I Wu, Jian Tong, Yu Sun, Xuan Gao, Xu Guo, Qipeng Guo, Kai Chen, Guoqiang Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reasoning Is Not Free: Robust Adaptive Cost-Efficient Routing for LLM-as-a-Judge
Wenbo Zhang, Lijinghua Zhang, Liner Xiang, Hengrui Cai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reasoning LLM Improves Speaker Recognition in Long-form TV Dramas
Yuxuan Li, Lingxi Xie, Xinyue Huo, Jihao Qiu, Jiacheng Shao, Pengfei Chen, Jiannan Ge, Kaiwen Duan, Qi Tian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reasoning Models Are Test Exploiters: Rethinking Multiple Choice
Narun Raman, Taylor Lundy, Kevin Leyton-Brown
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reasoning Models Struggle to Control their Chains of Thought
Chen Yueh-Han, Robert McCarthy, Bruce W. Lee, He He, Micah Carroll, Tomek Korbak
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reasoning Quality Emerges Early: Data Curation for Reasoning Models
Hongyi Jin, Wenhan Yang, Meysam Ghaffari, Carlos Morato, Baharan Mirzasoleiman
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reasoning Structure of Large Language Models
Frédéric Berdoz, Luca Lanzendörfer, Fabian Farestam, Roger Wattenhofer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought
Siddharth Boppana, Annabel Ma, Max Loeffler, Raphaël Sarfati, Eric Bigelow, Atticus Geiger, Owen Lewis, Jack Merullo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reasoning about Reasoning: BAPO Bounds on Chain-of-Thought Token Complexity in LLMs
Kiran Tomlinson, Tobias Schnabel, Adith Swaminathan, Jennifer Neville
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reasoning as an Attack Surface: Adaptive Evolutionary CoT Jailbreaks for LLMs
Jianan Li, Simeng Qin, Jiapeng Chen, Lionel Z. Wang, Tianhang Zheng, Xiaoshuang Jia, Yang Liu, Xiaochun Cao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models
Jiaoyang Ruan, Xin Gao, Yinda Chen, Hengyu Zeng, Liang Du, Guanghao Li, Jie Fu, Jian Pu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reasoning over Boundaries: Enhancing Specification Alignment via Test-time Deliberation
Haoran Zhang, Yafu Li, Xuyang Hu, Dongrui Liu, Zhilin Wang, Bo Li, Yu Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reasoning to Edit: Hypothetical Instruction-Based Image Editing with Visual Reasoning
Qingdong He, Xueqin Chen, Chaoyi Wang, Yanjie Pan, Xiaobin Hu, Zhenye Gan, Chengjie Wang, Xiangtai Li, Jiangning Zhang, Yabiao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reasoning-VLA: An Efficient and Spatial-Guided General Vision-Language-Action Reasoning Model for Autonomous Driving
Dapeng Zhang, Zhenlong Yuan, Zhangquan Chen, Chih-Ting Liao, Yinda Chen, Fei Shen, Qingguo Zhou, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Reasoning-preserved Efficient Distillation of Large Language Models via Activation-aware Initialization
Junlin He, Yihong Tang, Tong Nie, Guilong Li, Binyu Yang, Jinxiao Du, Lijun Sun, Wei Ma
Machine Learning
日本大学: 関与なし（対象大学）