ICLR

2022–2026 LIVE

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Machine Learning

2026 · 5,351 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 · ICLR
CardioComposer: Leveraging Differentiable Geometry for Compositional Control of Anatomical Diffusion Models
Karim Kadry, Shoaib Goraya, Ajay Manicka, Abdalla Abdelwahed, Naravich Chutisilp, Farhad Nezami, Elazer Edelman
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Carré du champ flow matching: better quality-generalisation tradeoff in generative models
Jacob Bamberger, Iolo Jones, Dennis Duncan, Michael Bronstein, Pierre Vandergheynst, Adam Gosztolai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cartridges: Lightweight and general-purpose long context representations via self-study
Sabri Eyuboglu, Ryan Ehrlich, Simran Arora, Neel Guha, Dylan Zinsley, Emily Liu, Atri Rudra, James Y Zou, Azalia Mirhoseini, Christopher Re
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cascadia: An Efficient Cascade Serving System for Large Language Models
YOUHE JIANG, Fangcheng Fu, Wanru Zhao, Stephan Rabanser, Jintao Zhang, Nic Lane, Binhang Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cat-PO: Cross-modal Adaptive Token-rewards for Preference Optimization in Truthful Multimodal LLMs
Zhixiao Zheng, Zheren Fu, Zhiyuan Yao, Dongming Zhang, Zhendong Mao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Catalog-Native LLM: Speaking Item-ID dialect with Less Entanglement for Recommendation
Reza Shirkavand, Xiaokai Wei, Chen Wang, Zheng Hui, Heng Huang, Michelle Gong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CatalystBench: A Comprehensive Multi-Task Benchmark for Advancing Language Models in Catalysis Science
Xueqing Chen, Jian Xu, Ludi Wang, Yang Gao, Huihan Zhu, Yuanchun Zhou, Yi Du, Cheng-lin Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Catching the Details: Self-Distilled RoI Predictors for Fine-Grained MLLM Perception
Yuheng Shi, Xiaohuan Pei, Minjing Dong, Chang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CauKer: Classification Time Series Foundation Models Can Be Pretrained on Synthetic Data
Shifeng Xie, Vasilii Feofanov, Jianfeng Zhang, Themis Palpanas, Ievgen Redko
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Causal Discovery in the Wild: A Voting-Theoretic Ensemble Approach
Vy Vo, Haoxuan Li, Mingming Gong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Causal Discovery via Quantile Partial Effect
Yikang Chen, Xingzhe Sun, Dehui du
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Causal Imitation Learning under Expert-Observable and Expert-Unobservable Confounding
Daqian Shao, Thomas Kleine Buening, Marta Kwiatkowska
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Causal Interpretation of Neural Network Computations with Contribution Decomposition
Joshua Melander, Zaki Alaoui, Shenghua Liu, Surya Ganguli, Stephen Baccus
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Causal Score Conditioning for Multi-Resolution Latent Systems
Xuechun Li, Shan Gao, Susu Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Causal Structure Learning in Hawkes Processes with Complex Latent Confounder Networks
Songyao Jin, Biwei Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Causal-Steer: Disentangled Continuous Style Control without Parallel Corpora
Qingsong Wang, Chang Yao, Jingyuan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Causality ≠ Invariance: Function and Concept Vectors in LLMs
Gustaw Opielka, Hannes Rosenbusch, Claire Stevenson
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Causally Robust Reward Learning from Reason-Augmented Preference Feedback
Minjune Hwang, Yigit Korkmaz, Daniel Seita, Erdem Bıyık
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cautious Optimizers: Improving Training with One Line of Code
Kaizhao Liang, Lizhang Chen, Bo Liu, Qiang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cautious Weight Decay
Lizhang Chen, Jonathan Li, Kaizhao Liang, Baiyu Su, Cong Xie, Chen Liang, Ni Lao, Qiang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CellAgent: LLM-Driven Multi-Agent Framework for Natural Language-Based Single-Cell Analysis
Yihang Xiao, Jinyi Liu, YAN ZHENG, Shaoqing Jiao, Jianye Hao, Xiaohan Xie, Limingzhi, Ruitao Wang, Fei Ni, Yuxiao Li, Zhen Wang, Xuequn Shang, Zhijie Bao, Changxiao Yang, Jiajie Peng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CellDuality: Unlocking Biological Reasoning in LLMs with Self-Supervised RLVR
Yuhang Chen, Zhen Tan, Ruichen Zhang, Mufan Qiu, Tianlong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Celo2: Towards Learned Optimization Free Lunch
Abhinav Moudgil, Boris Knyazev, Eugene Belilovsky
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CerebraGloss: Instruction-Tuning a Large Vision-Language Model for Fine-Grained Clinical EEG Interpretation
Wei Gu, Tianming Luo, Qiran Zhang, Mohan Ye, Xiao Shen, Wenxin Chen, Yunhuan Li, Yichen Zhang, Jing Hong, Bao-liang Lu, Wei-Long Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Certified Evaluation of Model-Level Explanations for Graph Neural Networks
Sayan Saha, Sanghamitra Bandyopadhyay
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Certifying the Full YOLO Pipeline: A Probabilistic Verification Approach
Zongxin Liu, Lijia Yu, Tao Lin, Zhiming Chi, Lijun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Chain-of-Context Learning: Dynamic Constraint Understanding for Multi-Task VRPs
Shuangchun Gui, Suyu Liu, Xuehe Wang, Zhiguang Cao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ChainGPT: Dual-Reasoning Model with Recurrent Depth and Multi-Rank State Updates
Yunao Zheng, Xiaojie Wang, Lei Ren, Chen Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ChainMPQ: Interleaved Text-Image Reasoning Chains for Mitigating Relation Hallucinations
Yike Wu, Yiwei Wang, Yujun Cai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Change Point Localization and Inference in Dynamic Multilayer Networks
Fan Wang, Kyle Ritscher, Yik Lun Kei, Xin Ma, OSCAR HERNAN MADRID PADILLA
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Channel-Aware Mixed-Precision Quantization for Efficient Long-Context Inference
Chengxi Liao, Zeyi Wen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Characteristic Root Analysis and Regularization for Linear Time Series Forecasting
Zheng Wang, Kaixuan Zhang, Wanfang Chen, Xiaonan Lu, Longyuan Li, Tobias Schlagenhauf
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Characterization and Learning of Causal Graphs with Latent Confounders and Post-treatment Selection from Interventional Data
Gongxu Luo, Loka Li, Guangyi Chen, Haoyue Dai, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Characterizing Deep Research: A Benchmark and Formal Definition
Abhinav Java, Ashmit Khandelwal, Sukruta Midigeshi, Aaron Halfaker, Amit Jayant Deshpande, Navin Goyal, Ankur Gupta, Nagarajan Natarajan, Amit Sharma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Characterizing Human Semantic Navigation in Concept Production as Trajectories in Embedding Space
Felipe Toro-Hernández, Jesuino Vieira Filho, Rodrigo Cabral-Carvalho
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Characterizing Pattern Matching and Its Limits on Compositional Task Structures
Hoyeon Chang, Jinho Park, Hanseul Cho, Sohee Yang, Miyoung Ko, Hyeonbin Hwang, Seungpil Won, Dohaeng Lee, Youbin Ahn, Minjoon Seo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Characterizing and Mitigating Reasoning Drift in Large Language Models
Yufeng Zhang, Xuepeng Wang, Lingxiang Wu, Jinqiao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Characterizing and Optimizing the Spatial Kernel of Multi Resolution Hash Encodings
Tianxiang Dai, Jonathan Fan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Characterizing the Discrete Geometry of ReLU Networks
Blake Gaines, Jinbo Bi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Chart Deep Research in LVLMs via Parallel Relative Policy Optimization
Jiajin Tang, Yang Gao, Wenjie Wang, Sibei Yang, Xing Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation
Zhen Li, Duan Li, Yukai Guo, Xinyuan Guo, Bowen Li, Lanxi Xiao, Shenyu Qiao, Jiashu Chen, Zijian Wu, Hui Zhang, Xinhuan Shu, Shixia Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Charts Are Not Images: On the Challenges of Scientific Chart Editing
Li, Ryan Rossi, Sungchul Kim, Sunav Choudhary, Franck Dernoncourt, Puneet Mathur, Zhengzhong Tu, Yue Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Chasing the Tail: Effective Rubric-based Reward Modeling for Large Language Model Post-Training
Junkai Zhang, Zihao Wang, Lin Gui, Swarnashree Mysore Sathyendra, Jaehwan Jeong, Victor Veitch, Wei Wang, Yunzhong He, Bing Liu, Lifeng Jin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ChatInject: Abusing Chat Templates for Prompt Injection in LLM Agents
Hwan Chang, Yonghyun Jun, Hwanhee Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CheckMate! Watermarking Graph Diffusion Models in Polynomial Time
Roberto Gheda, Abele Mălan, Robert Birke, Maksim Kitsak, Lydia Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ChemEval: A Multi-level and Fine-grained Chemical Capability Evaluation for Large Language Models
Yuqing Huang, Rongyang Zhang, Xuesong He, Xuyang Zhi, Hao Wang, Nuo Chen, Zongbo Liu, Xin Li, Feiyang Xu, Deguang Liu, Huadong Liang, YiLi, Jian Cui, Yin Xu, Shijin Wang, Qi Liu, Defu Lian, Guiquan Liu, Enhong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Chessformer: A Unified Architecture for Chess Modeling
Daniel Monroe, George Eilender, Philip Chalmers, Zhenwei Tang, Ashton Anderson
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Children's Intelligence Tests Pose Challenges for MLLMs? KidGym: A 2D Grid-Based Reasoning Benchmark for MLLMs
Hengwei Ye, Yuanting Guan, Yuxuan Ge, Tianying Zhu, Yijia Zhong, YiJing Zhang, Han Zhang, Yingna Wu, Zheng Tian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ChinaTravel: An Open-Ended Travel Planning Benchmark with Compositional Constraint Validation for Language Agents
Jie-Jing Shao, Bo-Wen Zhang, Xiao-Wen Yang, Baizhi Chen, Siyu Han, Jinghao Pang, Wen-Da Wei, Guohao Cai, Zhenhua Dong, Lan-Zhe Guo, Yu-Feng Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Choices Speak Louder than Questions
Gyeongje Cho, Yeonkyoung So, Jaejin Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ChronoEdit: Towards Temporal Reasoning for In-Context Image Editing and World Simulation
Jay Zhangjie Wu, Xuanchi Ren, Tianchang Shen, Tianshi Cao, Kai He, Yifan Lu, Ruiyuan Gao, Enze Xie, Shiyi Lan, Jose M. Alvarez, Jun Gao, Sanja Fidler, Zian Wang, Huan Ling
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ChronoPlay: A Framework for Modeling Dual Dynamics and Authenticity in Game RAG Benchmarks
Liyang He, Yuren Zhang, Ziwei Zhu, zhenghuili, Shiwei Tong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Chunking the Critic: A Transformer-based Soft Actor-Critic with N-Step Returns
Dong Tian, Onur Celik, Gerhard Neumann
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CineTrans: Learning to Generate Videos with Cinematic Transitions via Masked Diffusion Models
Xiaoxue Wu, Bingjie Gao, Yu Qiao, Yaohui Wang, Xinyuan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Circuit Insights: Towards Interpretability Beyond Activations
Elena Golimblevskaia, Aakriti Jain, Bruno Puri, Ammar Elsaid Mohamed Mohamed Ibrahim, Wojciech Samek, Sebastian Lapuschkin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CircuitNet 3.0: A Multi-Modal Dataset with Task-Oriented Augmentation for AI-Driven Circuit Design
Mingjun Wang, Yihan Wen, Yuntao Lu, Fengrui Liu, Yuxiang Zhao, Boyu Han, Jianan Mu, Yibo Lin, Runsheng Wang, Bei Yu, Huawei Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CircuitSense: A Hierarchical MLLM Benchmark Bridging Visual Comprehension and Symbolic Reasoning in Engineering Design Process
Arman Akbari, Jian Gao, Yifei Zou, Mei Yang, Jinru Duan, Dmitrii Torbunov, Yanzhi Wang, Yihui Ren, Xuan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models
Yukun Huang, Sanxing Chen, Jian Pei, Manzil Zaheer, Bhuwan Dhingra
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CityLens: Evaluating Large Vision-Language Models for Urban Socioeconomic Sensing
Tianhui Liu, Hetian Pang, Xin Zhang, Tianjian Ouyang, Zhiyuan Zhang, Jie Feng, Yong Li, Pan Hui
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CitySeeker: How Do VLMs Explore Embodied Urban Navigation with Implicit Human Needs?
Siqi Wang, Chao Liang, Yunfan Gao, Erxin Yu, Sen Li, Jing Li, Haofen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ClarifyVC: Clarifying Ambiguous Commands in Vehicle Control with a Hybrid Data Augmentation Pipeline
Hange Zhou, Zhonglin Jiang, yingjie cui, Mingzhe Zhang, Xiaotang Wang, Hengwei Dai, Qiyao Yu, Yong Chen, Yongqi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Clipped Gradient Methods for Nonsmooth Convex Optimization under Heavy-Tailed Noise: A Refined Analysis
Zijian Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CloDS: Visual-Only Unsupervised Cloth Dynamics Learning in Unknown Conditions
Yuliang Zhan, li jian, Wenbing Huang, Yang Liu, Hao Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Closed-form $\ell_r$ norm scaling with data for overparameterized linear regression and diagonal linear networks under $\ell_p$ bias
Shuofeng Zhang, Ard Louis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Closing the Gap Between Text and Speech Understanding in LLMs
Santiago Cuervo, Skyler Seto, Maureen de Seyssel, Richard Bai, Zijin Gu, Tatiana Likhomanenko, Navdeep Jaitly, Zakaria Aldeneh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Closing the Modality Gap Aligns Group-Wise Semantics
Eleonora Grassucci, Giordano Cicchetti, Emanuele Frasca, Aurelio Uncini, Danilo Comminiello
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Closing the Safety Gap: Surgical Concept Erasure in Visual Autoregressive Models
Xinhao Zhong, Yimin Zhou, Zhiqi Zhang, Junhao Li, Yi Sun, Bin Chen, Shu-Tao Xia, Xuan Wang, Ke Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Clustering by Denoising: Latent plug-and-play diffusion for single-cell embeddings
Dominik Meier, Shixing Yu, Sagnik Nandy, PROMIT GHOSAL, Kyra Gan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Co-LoRA: Collaborative Model Personalization on Heterogeneous Multi-Modal Clients
Minhyuk Seo, Taeheon Kim, Hankook Lee, Jonghyun Choi, Tinne Tuytelaars
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Co-occurring Associated REtained concepts in Diffusion Unlearning
Miso Kim, Georu Lee, Yunji Kim, Hoki Kim, Jinseong Park, Woojin Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models
Zizhuo Zhang, Jianing ZHU, Xinmu Ge, Zihua Zhao, (Andrew) Zhanke Zhou, Xuan Li, Xiao Feng, Jiangchao Yao, Bo Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CoAct-1: Computer-using Multi-agent System with Coding Actions
Linxin Song, Yutong Dai, Viraj Prabhu, Jieyu Zhang, Taiwei Shi, Li, Junnan Li, silvio savarese, Zeyuan Chen, Jieyu Zhao, Ran Xu, Caiming Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CoCoDiff: Correspondence-Consistent Diffusion Model for Fine-grained Style Transfer
Wenbo Nie, Zixiang Li, Renshuai Tao, Bin WU, Yunchao Wei, Yao Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CoDA: Agentic Systems for Collaborative Data Visualization
Zichen Chen, Jiefeng Chen, Sercan Arik, Misha Sra, Tomas Pfister, Jinsung Yoon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CoDA: From Text-to-Image Diffusion Models to Training-Free Dataset Distillation
Letian Zhou, Songhua Liu, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CoDi: Subject-Consistent and Pose-Diverse Text-to-Image Generation
Zhanxin Gao, Beier Zhu, Liangyao, Jian Yang, Ying Tai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CoEmoGen: Towards Semantically-Coherent and Scalable Emotional Image Content Generation
Kaishen Yuan, Yuting Zhang, Shang Gao, Yijie Zhu, Wenshuo Chen, Yutao Yue
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CoFact: Conformal Factuality Guarantees for Language Models under Covariate Shift
Zirui Hu, Zheng Zhang, Yingjie Wang, Leszek Rutkowski, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CoLA: Co-Calibrated Logit Adjustment for Long-Tailed Semi-Supervised Learning
Qian Shao, Qiyuan Chen, Jiahe Chen, Zepeng Li, Qianqian Tang, Hongxia Xu, JIAN Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal Control
Zirui Yuan, Siqi Lai, Hao Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards
Xiangyuan Xue, Yifan Zhou, Guibin Zhang, Zaibin Zhang, Yijiang Li, Chen Zhang, Zhenfei Yin, Philip Torr, Wanli Ouyang, LEI BAI
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CoMem: Compositional Concept-Graph Memory for Vision–Language Adaptation
Heng Zhou, Jing Tang, Juheng zhang, Yanshu Li, Canran Xiao, Liwei Hou, Zong Ke, Jiawei Yao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CoMind: Towards Community-Driven Agents for Machine Learning Engineering
Sijie Li, Weiwei Sun, Shanda Li, Ameet Talwalkar, Yiming Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CoNavBench: Collaborative Long-Horizon Vision-Language Navigation Benchmark
Tianhang Wang, Xinhai Li, Fan Lu, Tianshi Gong, Jiankun Dong, Weiyi Xue, Sanqing Qu, Chenjia Bai, Guang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CoPRS: Learning Positional Prior from Chain-of-Thought for Reasoning Segmentation
Zhenyu Lu, Liupeng Li, Jinpeng Wang, Yan Feng, Bin Chen, Ke Chen, Yaowei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter
Hanyin Cheng, Xingjian Wu, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CoT Vectors: Transferring and Probing the Reasoning Mechanisms of LLMs
Li, Ziyi Wang, Yongliang Wu, Jianfei Cai, xu yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CoT-Evo: Evolutionary Distillation of Chain-of-Thought for Scientific Reasoning
Kehua Feng, Keyan Ding, Zhihui Zhu, Lei Liang, Qiang Zhang, Huajun Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CoT-RVS: Zero-Shot Chain-of-Thought Reasoning Segmentation for Videos
Shiu-Hong Kao, Yu-Wing Tai, Chi-Keung Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Coarse-to-Fine Learning of Dynamic Causal Structures
Dezhi Yang, Qiaoyu Tan, Carlotta Domeniconi, Jun Wang, Lizhen Cui, Guoxian Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Code Aesthetics with Agentic Reward Feedback
Bang Xiao, Lingjie Jiang, Shaohan Huang, Tengchao Lv, Yupan Huang, xun wu, Lei Cui, Furu Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Code Driven Planning with Domain-Adaptive Selector
Zikang Tian, Shaohui Peng, Di Huang, Jiaming Guo, Ruizhi Chen, Rui Zhang, Xishan Zhang, Yuxuan Guo, Zidong Du, Qi Guo, Ling Li, Yewen Pu, Xing Hu, Yunji Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Code World Models for General Game Playing
Wolfgang Lehrach, Daniel Hennes, Miguel Lazaro-Gredilla, Xinghua Lou, Carter Wendelken, Zun Li, Antoine Dedieu, Marc Lanctot, Atil Iscen, John Schultz, Marcus Chiam, Ian Gemp, Piotr Zielinski, Satinder Singh, Kevin Murphy
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Code2Bench: Scaling Source and Rigor for Dynamic Benchmark Construction
Zhe Zhang, Runlin Liu, Aishan Liu, Xingyu Liu, Xiang Gao, Hailong Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model
Jingying Ma, Feng Wu, QIKA LIN, Yucheng Xing, Chenyu Liu, Ziyu Jia, Mengling Feng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CodeGenGuard: A Watermark for Code Generation Models
Borui Yang, Mingxuan Ma, Liyao Xiang, Nan Chen, Xin Zhang, Linghe Kong, Xinghao Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CodeQuant: Unified Clustering and Quantization for Enhanced Outlier Smoothing in Low-Precision Mixture-of-Experts
Xiangyang Yin, Xingyu Liu, Tianhua Xia, BO BAO, Vithursan Thangarasa, Valavan Manohararajah, Eric Sather, Sai Qian Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning
Monoshi Kumar Roy, Simin Chen, Benjamin Steenhoek, Jinjun Peng, Gail Kaiser, Baishakhi Ray, Wei Le
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Codified Finite-state Machines for Role-playing
Letian Peng, Yupeng Hou, Kun Zhou, Jingbo Shang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem Solving
Shuhang Chen, Yunqiu Xu, Junjie Xie, Aojun Lu, Tao Feng, ZEYING HUANG, ZHANG NING, Yi Sun, Yi Yang, Hangjie Yuan
Machine Learning
日本大学: 関与なし（対象大学）