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
Learning to Grasp Anything By Playing with Random Toys
Dantong Niu, Yuvan Sharma, Baifeng Shi, Rachel Ding, Matteo Gioia, Haoru Xue, Henry Tsai, Konstantinos Kallidromitis, Anirudh Pai, S. Sastry, trevor darrell, Jitendra Malik, Roei Herzig
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning to Interpret Weight Differences in Language Models
Avichal Goel, Yoon Kim, Nir Shavit, Tony Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning to Lie: Adversarial Attacks on Human-AI Teams and LLMs
Abed K. Musaffar, Anand Gokhale, Sirui Zeng, Rasta Tadayontahmasebi, Xifeng Yan, Ambuj K Singh, Francesco Bullo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning to Orchestrate Agents in Natural Language with the Conductor
Stefan Nielsen, Edoardo Cetin, Peter Schwendeman, Qi Sun, Jinglue Xu, Yujin Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning to Parallel: Accelerating Diffusion Large Language Models via Learnable Parallel Decoding
Wenrui Bao, Zhiben Chen, Dan Xu, Yuzhang Shang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning to Play Multi-Follower Bayesian Stackelberg Games
Gerson Personnat, Tao Lin, Safwan Hossain, David Parkes
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning to Reason Efficiently with Discounted Reinforcement Learning
Alex Ayoub, Kavosh Asadi, Dale Schuurmans, Csaba Szepesvari, Karim Bouyarmane
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning to Reason as Action Abstractions with Scalable Mid-Training RL
Shenao Zhang, Donghan Yu, Yihao Feng, Bowen Jin, Zhaoran Wang, John Peebles, Zirui Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning to Reason for Hallucination Span Detection
Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Kundan Krishna, Hadi Pouransari, Cheng-Yu Hsieh, Cem Koc, Joseph Cheng, Oncel Tuzel, Raviteja Vemulapalli
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning to Reason in Structured In-context Environments with Reinforcement Learning
Peng Yu, Zeyuan Zhao, Shao Zhang, Luoyi Fu, Xinbing Wang, Ying Wen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning to Reason over Continuous Tokens with Reinforcement Learning
Yiran Zhao, Yuhui Xu, Doyen Sahoo, Caiming Xiong, Junnan Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning to Reason via Mixture-of-Thought for Logical Reasoning
Tong Zheng, Lichang Chen, Sophia Han, R. Thomas McCoy, Heng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning to Reason without External Rewards
Xuandong Zhao, Zhewei Kang, Aosong Feng, Sergey Levine, Dawn Song
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning to Recall with Transformers Beyond Orthogonal Embeddings
Mert Vural, Alberto Bietti, Mahdi Soltanolkotabi, Denny Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training
Junlin Han, Shengbang Tong, David Fan, Yufan Ren, Koustuv Sinha, Philip Torr, Filippos Kokkinos
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning to Segment for Vehicle Routing Problems
Wenbin Ouyang, Sirui Li, Yining Ma, Cathy Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning to Solve Orienteering Problem with Time Windows and Variable Profits
Songqun Gao, Zanxi Ruan, Patrick Floor, Marco Roveri, Luigi Palopoli, Daniele Fontanelli
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning to Summarize by Learning to Quiz: Adversarial Agentic Collaboration for Long Document Summarization
Weixuan Wang, Minghao Wu, Barry Haddow, Alexandra Birch
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning to Weight Parameters for Training Data Attribution
Shuangqi Li, Hieu Le, Jingyi Xu, Mathieu Salzmann
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning to summarize user information for personalized reinforcement learning from human feedback
HyunJi Nam, Yanming Wan, Mickel Liu, Peter Ahnn, Jianxun Lian, Natasha Jaques
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning under Quantization for High-Dimensional Linear Regression
Dechen Zhang, Junwei Su, Difan Zou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning with Dual-level Noisy Correspondence for Multi-modal Entity Alignment
Haobin Li, Yijie Lin, Peng Hu, Mouxing Yang, Xi Peng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning-Augmented Moment Estimation on Time-Decay Models
Soham Nagawanshi, Shalini Panthangi, Chen Wang, David Woodruff, Samson Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Learning-Time Encoding Shapes Unlearning in LLMs
Ruihan Wu, Konstantin Garov, Kamalika Chaudhuri
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting
Yixing Lao, Xuyang BAI, Xiaoyang Wu, Nuoyuan Yan, Zixin Luo, Tian Fang, Jean-Daniel Nahmias, Yanghai Tsin, Shiwei Li, Hengshuang Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Less Is More: Clustered Cross-Covariance Control for Offline RL
Nan Qiao, Sheng Yue, Shuning Wang, Yongheng Deng, Ju Ren
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers
Shikang Zheng, Guantao Chen, Qinming Zhou, Yuqi Lin, Lixuan He, Chang Zou, Peiliang Cai, Jiacheng Liu, Linfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Let LLMs Speak Embedding Languages: Generative Text Embeddings via Iterative Contrastive Refinement
Yu-Che Tsai, Kuan-Yu Chen, Yuan-Chi Li, Yuan-Hao Chen, Ching-Yu Tsai, Shou-De Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Let OOD Feature Exploring Vast Predefined Classifiers
Kewen Xia, Xiaodong Yue, WeiZhipeng, Yaxin Peng, Zihao Li, Jianxiang Zhu, Jie Shi, PeilinXu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Let's (not) just put things in Context: Test-time Training for Long-context LLMs
Rachit Bansal, Aston Zhang, Rishabh Tiwari, Lovish Madaan, Venkata Sai Surya Subramanyam Duvvuri, Devvrit Khatri, David Brandfonbrener, David Alvarez-Melis, Prajjwal Bhargava, Mihir Kale, Samy Jelassi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Let's Explore Step by Step: Generating Provable Formal Statements with Deductive Exploration
Qi Liu, Kangjie Bao, Yue Yang, Xinhao Zheng, Renqiu Xia, Qinxiang Cao, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Let's Split Up: Zero-Shot Classifier Edits for Fine-Grained Video Understanding
Kaiting Liu, Hazel Doughty
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification
Moises Andrade, Joonhyuk Cha, Brandon Ho, Vriksha Srihari, Karmesh Yadav, Zsolt Kira
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Leveraging Data to Say No: Memory Augmented Plug-and-Play Selective Prediction
Aditya Sarkar, Yi Li, Jiacheng Cheng, Shlok Mishra, Nuno Vasconcelos
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Leveraging Discrete Function Decomposability for Scientific Design
James Bowden, Sergey Levine, Jennifer Listgarten
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Leveraging Explanation to Improve Generalization of Meta Reinforcement Learning
Shicheng Liu, Minghui Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Leveraging Pretrained Knowledge at Inference Time: LoRA-Gated Contrastive Decoding for Multilingual Factual Language Generation in Adapted LLMs
Gwangseon Jang, Hongseok Choi, Chanuk lim, Kyong-Ha Lee, Mun Yi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LiFR-Seg: Anytime High-Frame-Rate Segmentation via Event-Guided Propagation
Xiaoshan Wu, Xiaoyang Lyu, Yifei Yu, Bo Wang, Zhongrui Wang, XIAOJUAN QI
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LiTo: Surface Light Field Tokenization
Jen-Hao Chang, Xiaoming Zhao, Dorian Chan, Oncel Tuzel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Libra: Effective yet Efficient Load Balancing for Large-scale MoE Inference
Jaehoon Yang, Yushin Kim, Seokwon Moon, Yeonhong Park, Jae W. Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Lifelong Embodied Navigation Learning
XUDONG WANG, Jiahua Dong, Baichen Liu, Qi Lyu, Lianqing Liu, Zhi Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Lifelong Learning with Behavior Consolidation for Vehicle Routing
Jiyuan Pei, Yi Mei, Jialin Liu, Mengjie Zhang, Xin Yao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Light Differentiable Logic Gate Networks
Lukas Rüttgers, Till Aczel, Andreas Plesner, Roger Wattenhofer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Light of Normals: Unified Feature Representation for Universal Photometric Stereo
Houyuan Chen, Hong Li, Chongjie Ye, Zhaoxi Chen, Bohan Li, Shaocong Xu, xianda guo, Xuhui Liu, Yikai Wang, Baochang Zhang, Satoshi Ikehata, Boxin Shi, Anyi Rao, Hao Zhao
Machine Learning
日本大学: 東京科学大学
2026 · ICLR
Light-X: Generative 4D Video Rendering with Camera and Illumination Control
Tianqi Liu, Zhaoxi Chen, Zihao Huang, Shaocong Xu, Saining Zhang, Chongjie Ye, Bohan Li, Zhiguo Cao, Wei Li, Hao Zhao, Ziwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LightCtrl: Training-free Controllable Video Relighting
Yizuo Peng, Xuelin Chen, Kai Zhang, Xiaodong Cun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LightMem: Lightweight and Efficient Memory-Augmented Generation
Jizhan Fang, Xinle Deng, Haoming Xu, Ziyan Jiang, Yuqi Tang, Ziwen Xu, Shumin Deng, Yunzhi Yao, Mengru Wang, Shuofei Qiao, Huajun Chen, Ningyu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LightRetriever: A LLM-based Text Retrieval Architecture with Extremely Faster Query Inference
Guangyuan Ma, Yongliang Ma, Xuanrui Gou, Zhenpeng Su, Ming Zhou, Songlin Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Lightweight Spatio-Temporal Modeling via Temporally Shifted Distillation for Real-Time Accident Anticipation
Patrik Patera, Yie-Tarng Chen, Wen-Hsien Fang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Lightweight Transformer for EEG Classification via Balanced Signed Graph Algorithm Unrolling
Junyi Yao, Parham Eftekhar, Gene Cheung, Xujin Liu, Yao Wang, Wei Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LikePhys: Evaluating Intuitive Physics Understanding in Video Diffusion Models via Likelihood Preference
Jianhao Yuan, Fabio Pizzati, Francesco Pinto, Lars Kunze, Ivan Laptev, Paul Newman, Philip Torr, Daniele De Martini
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Linear Mechanisms for Spatiotemporal Reasoning in Vision Language Models
Raphaela Kang, Hongqiao Chen, Georgia Gkioxari, Pietro Perona
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
Luyao Zhuang, Shengyuan Chen, Yilin Xiao, Huachi Zhou, Yujing Zhang, Hao Chen, Qinggang Zhang, Xiao Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LinearSR: Unlocking Linear Attention for Stable and Efficient Image Super-Resolution
Xiaohui Li, Shaobin Zhuang, Shuo Cao, Yang, Yuandong Pu, Qi Qin, Siqi Luo, Bin Fu, Yihao Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops
Jiyuan Fu, Kaixun Jiang, Lingyi Hong, Jinglun Li, HaiJing Guo, Dingkang Yang, Zhaoyu Chen, Wenqiang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LinguaMap: Which Layers of LLMs Speak Your Language and How to Tune Them?
J. Ben Tamo, Daniel Carlander-Reuterfelt, Jonathan Rubin, Oleg Poliannikov, Dezhi Hong, Mingxian Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Linking Process to Outcome: Conditional Reward Modeling for LLM Reasoning
Zheng Zhang, Ziwei Shan, Kaitao Song, Yexin Li, Kan Ren
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LipNeXt: Scaling up Lipschitz-based Certified Robustness to Billion-parameter Models
Kai Hu, Haoqi Hu, Matt Fredrikson
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Lipschitz Bandits with Stochastic Delayed Feedback
Zhongxuan Liu, Yue Kang, Thomas Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LiteGuard: Efficient Task-Agnostic Model Fingerprinting with Enhanced Generalization
Guang Yang, Ziye Geng, Yihang Chen, Changqing Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LitmusValues: Will AI Tell Lies to Save Sick Children? Litmus-Testing AI Values Prioritization with AIRiskDilemmas
Yu Ying Chiu, Zhilin Wang, Sharan Maiya, Yejin Choi, Kyle Fish, Sydney Levine, Evan Hubinger
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LiveClin: A Live Clinical Benchmark without Leakage
Xidong Wang, Guo shuqi, YUE SHEN, Junying Chen, Jian Wang, Jinjie Gu, Ping Zhang, Lei Liu, Wang Benyou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LiveMoments: Reselected Key Photo Restoration in Live Photos via Reference-guided Diffusion
Clara Xue, Zizheng Yan, Zhenning Shi, Yuhang Yu, Jingyu Zhuang, Qi Zhang, Jinwei Chen, Qingnan Fan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild
Jiayu Wang, Yifei Ming, Riya Dulepet, Qinglin Chen, Austin Xu, Zixuan Ke, Frederic Sala, Aws Albarghouthi, Caiming Xiong, Shafiq Joty
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LiveWeb-IE: A Benchmark For Online Web Information Extraction
Seungbin Yang, Jihwan Kim, Jaemin Choi, Dongjin Kim, Soyoung Yang, ChaeHun Park, Jaegul Choo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LoC-Decomp: LLM Autoformalization via Logical Concept Decomposition and Iterative Feedback Correction
jiangze shi, Zhiwei Zhang, Baoquan Ma, Shuai Zhao, Ye Yuan, Guoren Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LoFT: Low-Rank Adaptation That Behaves Like Full Fine-Tuning
Nurbek Tastan, Stefanos Laskaridis, Martin Takáč, Karthik Nandakumar, Samuel Horváth
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LoRA meets Riemannion: Muon Optimizer for Parametrization-independent Low-Rank Adapters
Vladimir Bogachev, Vladimir Aletov, Alexander Molozhavenko, Denis Bobkov, Vera Soboleva, Aibek Alanov, Maxim Rakhuba
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing
Wenbing Li, Zikai Song, Hang Zhou, Junqing Yu, Yunyao Zhang, Wei Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LoRA-S: An Efficient Low Rank Adaptation scheme via Sylvester equation
Jinyang ZHENG, Tong Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LoRAGen: Structure-Aware Weight Space Learning for LoRA Generation
Hao Huang, Jingtao Ding, Mengqi Liao, Xin Wang, Jinyang Ban, Yuan Yuan, Huaiyu Wan, Yong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Loc$^{2}$: Interpretable Cross-View Localization via Depth-Lifted Local Feature Matching
Zimin Xia, Chenghao Xu, Alexandre Alahi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Local Entropy Search over Descent Sequences for Bayesian Optimization
David Stenger, Armin Lindicke, Alexander von Rohr, Sebastian Trimpe
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Local Geometry Attention for Time Series Forecasting under Realistic Corruptions
Dongbin Kim, Youngjoo Park, Woojin Jeong, Jaewook Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Local Linear Attention: An Optimal Interpolation of Linear and Softmax Attention For Test-Time Regression
Yifei Zuo, Yutong Yin, Zhichen Zeng, Ang Li, Banghua Zhu, Zhaoran Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Local Reinforcement Learning with Action-Conditioned Root Mean Squared Q-Functions
Zequan Wu, Mengye Ren
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Local Success Does Not Compose: Benchmarking Large Language Models for Compositional Formal Verification
Xu Xu, Xin Li, Xingwei Qu, Jie Fu, Binhang Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Locality-Attending Vision Transformer
Sina Hajimiri, Farzad Beizaee, Fereshteh Shakeri, Christian Desrosiers, Ismail Ayed, Jose Dolz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation
Zhuoyang Zhang, Luke Huang, Chengyue Wu, Shang Yang, Kelly Peng, Yao Lu, Song Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Localized Concept Erasure in Text-to-Image Diffusion Models via High-Level Representation Misdirection
Uichan Lee, Jeonghyeon Kim, Sangheum Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis
Haolin Yang, Hakaze Cho, Naoya Inoue
Machine Learning
日本大学: 北陸先端科学技術大学院大学
2026 · ICLR
Locally Subspace-Informed Neural Operators for Efficient Multiscale PDE Solving
Alexander Rudikov, Vladimir Fanaskov, Sergei Stepanov, Buzheng Shan, Ekaterina Muravleva, Yalchin Efendiev, Ivan Oseledets
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Log Probability Tracking of LLM APIs
Timothée Chauvin, Erwan Le Merrer, Francois Taiani, Gilles Tredan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable Computation
Peter Baile Chen, Yi Zhang, Dan Roth, Samuel Madden, Jacob Andreas, Mike Cafarella
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Log-Linear Attention
Guo, Songlin Yang, Tarushii Goel, Eric P Xing, Tri Dao, Yoon Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LogART: Pushing the Limit of Efficient Logarithmic Post-Training Quantization
Jiawei Xu, Yi Zheng, Chenghe Sun, Taiyu Zhou, Zuqi Zhang, Jie Li, Lirong Zheng, Zhuo Zou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LogiConBench: Benchmarking Logical Consistencies of LLMs
Zheng Chen, Chuan Zhou, Fengxiang Cheng, Tin Po Yip, Fenrong Liu, Yisen Wang, Jiajun Chai, Xiaohan Wang, Guojun Yin, Wei Lin, Bo Li, Haoxuan Li, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LogiStory: A Logic-Aware Framework for Multi-Image Story Visualization
Chutian Meng, Fan Ma, Chi Zhang, Jiaxu Miao, Yi Yang, Yueting Zhuang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LogicReward: Incentivizing LLM Reasoning via Step-Wise Logical Supervision
Jundong Xu, Hao (Scofield) Fei, Huichi Zhou, Xin Quan, Qijun Huang, Shengqiong Wu, William Wang, Mong-Li Lee, Wynne Hsu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LogicXGNN: Grounded Logical Rules for Explaining Graph Neural Networks
Chuqin Geng, Ziyu Zhao, Zhaoyue Wang, Haolin Ye, Yuhe Jiang, Xujie Si
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Logit‑KL Flow Matching: Non‑Autoregressive Text Generation via Sampling‑Hybrid Inference
Egor Sevriugov, Nikita Dragunov, Anton Razzhigaev, Andrey Kuznetsov, Ivan Oseledets
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Long Chain-of-Thought Reasoning Across Languages
Josh Barua, Seun Eisape, Kayo Yin, Alane Suhr
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Long-Context Attention Benchmark: From Kernel Efficiency to Distributed Context Parallelism
Tao Bu, Qiangang Wang, Bowen Zeng, Hanwen Sun, Yunpeng Huang, Chun Cao, Jingwei Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Long-Context Generalization with Sparse Attention
Pavlo Vasylenko, Hugo Pitorro, Andre Martins, Marcos V Treviso
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Long-Document QA with Chain-of-Structured-Thought and Fine-Tuned SLMs
Zhuowen Liang, Xiaotian LIN, Zhengxuan Zhang, Yuyu Luo, Haixun Wang, Nan Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Long-Text-to-Image Generation via Compositional Prompt Decomposition
Jen-Yuan Huang, Tong Lin, Yilun Du
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Long-range Modeling and Processing of Multimodal Event Sequences
Jichu Li, Yilun Zhong, Zhiting Li, Feng Zhou, Quyu Kong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Long-tailed Test-Time Adaptation for Vision-Language Models
Xucong Wang, Zhe Zhao, Zekun Wang, Xiaofeng Cao, Xu Wang, Di Wu, Pengkun Wang, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LongHorizonUI: A Unified Framework for Robust long-horizon Task Automation of GUI Agent
Bin Kang, Shaoguo Wen, YIFEI BI, Shunlong Wu, Xinbin Yuan, Rui Shao, Junle Wang, Zhuotao Tian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LongLive: Real-time Interactive Long Video Generation
Shuai Yang, Wei Huang, Ruihang Chu, Yicheng Xiao, Yuyang Zhao, Xianbang Wang, Muyang Li, Enze Xie, YINGCONG CHEN, Yao Lu, Song Han, Yukang Chen
Machine Learning
日本大学: 関与なし（対象大学）