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
REAP the Experts: Why Pruning Prevails for One-Shot MoE compressionMike Lasby, Ivan Lazarevich, Nish Sinnadurai, Sean Lie, Yani Ioannou, Vithursan Thangarasa
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RECAST: Expanding the Boundaries of LLMs' Complex Instruction Following with Multi-Constraint DataZhengkang Guo, Wenhao Liu, Mingchen Xie, Jingwen Xu, Zisu Huang, Muzhao Tian, Jianhan Xu, Yuanzhe Shen, Qi Qian, Muling Wu, Xiaohua Wang, Heda Wang, Yao Hu, Changze Lv, Xuanjing Huang, Xiaoqing Zheng
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RECODE-H: A Benchmark for Research Code Development with Interactive Human FeedbackChunyu Miao, Henry Peng Zou, Yangning Li, Yankai Chen, Yibo Wang, Fangxin Wang, Yifan Li, Wooseong Yang, Bowei He, Xinni Zhang, Dianzhi Yu, Hanchen Yang, Hoang Nguyen, Yue Zhou, Jie Yang, Jizhou Guo, Wenzhe Fan, Chin-Yuan Yeh, Panpan Meng, Liancheng Fang, Jinhu Qi, Wei-Chieh Huang, Zhengyao Gu, Yuwei Han, Langzhou He, Yuyao Yang, Xue Liu, Irwin King, Philip Yu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RECON: Robust symmetry discovery via Explicit Canonical Orientation NormalizationAlonso Urbano, David Wilson Romero, Max Zimmer, Sebastian Pokutta
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
REI-Bench: Can Embodied Agents Understand Vague Human Instructions in Task Planning?Chenxi Jiang, Chuhao Zhou, Jianfei Yang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
REMem: Reasoning with Episodic Memory in Language AgentYiheng Shu, Padmaja Jonnalagedda, Xiang Gao, Bernal Jimenez Gutierrez, Weijian Qi, Kamalika Das, Huan Sun, Yu Su
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RESA: Bringing Back What Sparse Attention Ignores with Residual EstimationWeihao Yang, Hao Huang, Ningke Li, Shihao Wang, Darong Yang, Yanqi Pan, Wen Xia, Shiyi Li, Xiangyu Zou
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RESCHED: Rethinking Flexible Job Shop Scheduling from a Transformer-based Architecture with Simplified StatesXiangjie Xiao, Cong Zhang, Wen Song, Zhiguang Cao
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RESCUE: Retrieval Augmented Secure Code GenerationJiahao Shi, Tianyi Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and UtilityDawood Wasif, Terrence Moore, Jin-Hee Cho
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RESTRAIN: From Spurious Votes to Signals — Self-Training RL with Self-PenalizationZhaoning Yu, Zhaolun Su, Leitian Tao, Haozhu Wang, Aashu Singh, Hanchao Yu, Jianyu Wang, Hongyang Gao, Weizhe Yuan, Jason E Weston, Ping Yu, Jing Xu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RF-DETR: Neural Architecture Search for Real-Time Detection TransformersIsaac Robinson, Peter Robicheaux, Matvei Popov, Deva Ramanan, Neehar Peri
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RF-MatID: Dataset and Benchmark for Radio Frequency Material IdentificationXinyan Chen, Qinchun Li, Ruiqin Ma, Jiaqi Bai, Li Yi, Jianfei Yang
Machine Learning
日本大学: 茨城大学
2026 · ICLR
RFEval: Benchmarking Reasoning Faithfulness under Counterfactual Reasoning Intervention in Large Reasoning ModelsYunseok Han, Yejoon Lee, Jaeyoung Do
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RFS: Reinforcement learning with Residual flow steering for dexterous manipulationEntong Su, Tyler Westenbroek, Anusha Nagabandi, Abhishek Gupta
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RIDER: 3D RNA Inverse Design with Reinforcement Learning-Guided DiffusionTianmeng Hu, Yongzheng Cui, Biao Luo, Ke Li
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RIG: Synergizing Reasoning and Imagination in End-to-End Generalist PolicyZhonghan Zhao, Wenwei Zhang, Haian Huang, Kuikun Liu, Jianfei Gao, Gaoang Wang, Kai Chen
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RIVER: A Real-Time Interaction Benchmark for Video LLMsYansong Shi, Qingsong Zhao, Tianxiang Jiang, Xiangyu Zeng, Yi Wang, Limin Wang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RL Grokking Recipe: How Does RL Unlock and Transfer New Algorithms in LLMs?Yiyou Sun, Yuhan Cao, Pohao Huang, Haoyue Bai, Hanna Hajishirzi, Nouha Dziri, Dawn Song
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RL Squeezes, SFT Expands: A Comparative Study of Reasoning LLMsKohsei Matsutani, Shota Takashiro, Gouki Minegishi, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
Machine Learning
日本大学: 東京大学
2026 · ICLR
RL for Reasoning by Adaptively Revealing Rationalesmohammad hossein amani, Aryo Lotfi, Nicolas Baldwin, Samy Bengio, Mehrdad Farajtabar, Emmanuel Abbe, Robert West
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RL makes MLLMs see better than SFTJunha Song, Sangdoo Yun, Dongyoon Han, Jaegul Choo, Byeongho Heo
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RL of Thoughts: Navigating LLM Reasoning with Inference-time Reinforcement LearningQianyue Hao, Sibo Li, Jian Yuan, Yong Li
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RL's Razor: Why Online Reinforcement Learning Forgets LessIdan Shenfeld, Jyothish Pari, Pulkit Agrawal
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RLAC: Reinforcement Learning with Adversarial Critic for Free-Form Generation TasksMian Wu, Gavin Zhang, Sewon Min, Sergey Levine, Aviral Kumar
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RLAD: Training LLMs to Discover Abstractions for Solving Reasoning ProblemsYuxiao Qu, Anikait Singh, Yoonho Lee, Amrith Setlur, Russ Salakhutdinov, Chelsea Finn, Aviral Kumar
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RLAP-CLIP: Continual Multimodal Learning with Prototype Adaptation and Difficulty-Aware RoutingRuikun Luo, Jiarui Wang, Yuan Gao, Jing Yang, Jieming Yang, Song Wu, Hai Jin, Xiaoyu Xia
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable RewardsZhilin Wang, Jiaqi Zeng, Olivier Delalleau, Ellie Evans, Daniel Egert, Hoo-Chang Shin, Felipe Soares, Yi Dong, Oleksii Kuchaiev
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RLP: Reinforcement as a Pretraining ObjectiveAli Hatamizadeh, Syeda Nahida Akter, Shrimai Prabhumoye, Jan Kautz, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Yejin Choi
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic AgentsPeisong Wang, Ruotian Ma, Bang Zhang, Xingyu Chen, Zhiwei He, Kang Luo, Qingsong Lv, Qingxuan Jiang, Zheng Xie, Shanyi Wang, CIXING LI, Yuan Li, Fanghua Ye, Jian Li, Yifan Yang, Jia Li, Zhaopeng Tu, Xiaolong Li
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon AgentsZijing Zhang, Ziyang Chen, Mingxiao Li, Zhaopeng Tu, Xiaolong Li
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RM-R1: Reward Modeling as ReasoningXiusi Chen, Gaotang Li, Ziqi Wang, Bowen Jin, Cheng Qian, Yu Wang, Hongru WANG, Yu Zhang, Denghui Zhang, Tong Zhang, Hanghang Tong, Heng Ji
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RMAAT: Astrocyte-Inspired Memory Compression and Replay for Efficient Long-Context TransformersMd Zesun Ahmed Mia, Malyaban Bal, Abhronil Sengupta
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RMFlow: Refined Mean Flow by a Noise-Injection Step for Multimodal GenerationYuhao Huang, Shih-Hsin Wang, Andrea Bertozzi, Bao Wang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RNE: plug-and-play diffusion inference-time control and energy-based trainingJiajun He, José Miguel Hernández Lobato, Yuanqi Du, Francisco Vargas
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ROC-n-reroll: How verifier imperfection affects test-time scalingFlorian Eddie Dorner, Yatong Chen, André F. Cruz, Fanny Yang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ROGA: Scaling Generalist Agents for Office Productivity Tasks via Tool GenerationMugeng Liu, Xiaojun Ma, Yuhang Xie, Qin Chen, Xuanzhe Liu, Yun Ma
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ROSETTA: Constructing Code-Based Reward from Unconstrained Language PreferenceSanjana Srivastava, Kangrui Wang, Yung-Chieh Chan, Tianyuan Dai, Manling Li, Ruohan Zhang, Mengdi Xu, Jiajun Wu, Li Fei-Fei
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal GenerationYongyuan Liang, Wei Chow, Feng Li, Ziqiao Ma, Xiyao Wang, Jiageng Mao, Jiuhai Chen, Jiatao Gu, Yue Wang, Furong Huang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RPG: A Repository Planning Graph for Unified and Scalable Codebase GenerationJane Luo, Xin Zhang, Steven Liu, Jie Wu, Jianfeng Liu, Yiming Huang, Yangyu Huang, Chengyu Yin, Ying Xin, Yuefeng Zhan, Hao Sun, Qi Chen, Scarlett Li, Mao Yang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RPM: Reasoning-Level Personalization for Black-Box Large Language ModelsJieyong Kim, Tongyoung Kim, SooJin Yoon, Jaehyung Kim, Dongha Lee
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RRNCO: Towards Real-World Routing with Neural Combinatorial OptimizationJiwoo Son, Zhikai Zhao, Federico Berto, Chuanbo Hua, Zhiguang Cao, Changhyun Kwon, Jinkyoo Park
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Radiometrically Consistent Gaussian Surfels for Inverse RenderingKyu Beom Han, Jaeyoon Kim, Woo Jae Kim, Jinhwan Seo, Sung-eui Yoon
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 HoursRafael Pablos Sarabia, Joachim Nyborg, Morten Birk, Jeppe Sjørup, Anders Vesterholt, Ira Assent
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Rainbow Padding: Mitigating Early Termination in Instruction-Tuned Diffusion LLMsBumJun Kim, Dongjae Jeon, Dueun Kim, Wonje Jeung, Albert No
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Random Anchors with Low-rank Decorrelated Learning: A Minimalist Pipeline for Class-Incremental Medical Image ClassificationXinyao Wu, Zhe Xu, Raymond Kai-yu Tong
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Random Controlled Differential EquationsFrancesco Piatti, Thomas Cass, William Turner
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Random Label Prediction Heads for Studying Memorization in Deep Neural NetworksMarlon Becker, Jonas Konrad, Luis Rodriguez, Benjamin Risse
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Random Policy Valuation is Enough for LLM Reasoning with Verifiable RewardsHaoran He, Yuxiao Ye, Qingpeng Cai, Chen Hu, Binxing Jiao, Daxin Jiang, Ling Pan
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Random Spiking Neural Networks are Stable and Spectrally SimpleErnesto Araya, Massimiliano Datres, Gitta Kutyniok
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Random-projection ensemble dimension reductionWenxing Zhou, Timothy Cannings
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Randomization Boosts KV Caching, Learning Balances Query Load: A Joint PerspectiveFangzhou Wu, Sandeep Silwal, Qiuyi (Richard) Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Randomized Antipodal Search Done Right for Data Pareto Improvement of LLM UnlearningZiwen Liu, Huawei Lin, Yide Ran, Denghui Zhang, Jianwen Xie, Chuan Li, Weijie Zhao, Zhaozhuo Xu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement LearningYaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Vito Ostuni, Jundong Li, Nathan Kallus
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RankFlow: Property-aware Transport for Protein OptimizationLu Yu, Wei Xiang, Kang Han, Gaowen Liu, Ramana Kompella
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Rapid Training of Hamiltonian Graph Networks Using Random FeaturesAtamert Rahma, Chinmay Datar, Ana Cukarska, Felix Dietrich
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Rating Quality of Diverse Time Series Data by Meta-learning from LLM JudgmentShunyu Wu, Dan Li, Wenjie Feng, Haozheng Ye, Jian Lou, See-Kiong Ng
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RayI2P: Learning Rays for Image-to-Point Cloud RegistrationXinjun Li, Wenfei Yang, Zhixin Cheng, Jiacheng Deng, Fei Wang, Chen Qian, Tianzhu Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ReCAPA: Hierarchical Predictive Correction to Mitigate Cascading FailuresXiyin Zeng, Yuyu Sun, Haoyang Li, Shouqiang Liu, Hao Wang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous DrivingYongkang Li, Kaixin Xiong, Xiangyu Guo, Fang Li, Sixu Yan, Gangwei Xu, Lijun Zhou, Long Chen, Haiyang Sun, Bing Wang, Kun Ma, Guang Chen, Hangjun Ye, Wenyu Liu, Xinggang Wang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ReDDiT: Rehashing Noise for Discrete Visual GenerationTianren Ma, Xiaosong Zhang, Boyu Yang, Junlan Feng, Qixiang Ye
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ReFORM: Reflected Flows for On-support Offline RL via Noise ManipulationSongyuan Zhang, Oswin So, H M Sabbir Ahmad, Eric Yu, Matthew Cleaveland, Mitchell Black, Chuchu Fan
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ReFocusEraser: Refocusing for Small Object Removal with Robust Context-Shadow RepairQingping Zheng, Bo Huang, Yang Liu, Haoyu Zhao, Ling Zheng, Zengmao Wang, Ying Li, Jiankang Deng
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ReForm: Reflective Autoformalization with Prospective Bounded Sequence OptimizationGuoxin Chen, Wu Jing, Xinjie Chen, Xin Zhao, Ruihua Song, Chengxi Li, Kai Fan, Dayiheng Liu, Minpeng Liao
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ReFusion: A Diffusion Large Language Model with Parallel Autoregressive DecodingJia-Nan Li, Jian Guan, Wei Wu, Chongxuan Li
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ReIn: Conversational Error Recovery with Reasoning InceptionTakyoung Kim, Jinseok Nam, Chandrayee Basu, Xing Fan, Chengyuan Ma, Heng Ji, Gokhan Tur, Dilek Hakkani-Tür
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ReLaSH: Reconstructing Joint Latent Spaces for Efficient Generation of Synthetic Hypergraphs with Hyperlink AttributesFeiyan Ma, Shihao Wu, Gongjun Xu, Ji Zhu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ReLi3D: Relightable Multi-view 3D Reconstruction with Disentangled IlluminationJan-Niklas Dihlmann, Mark Boss, Simon Donné, Andreas Engelhardt, Hendrik Lensch, Varun Jampani
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement LearningMingrui Wu, Lu Wang, Pu Zhao, Fangkai Yang, Jianjin Zhang, Jianfeng Liu, Yuefeng Zhan, Weihao Han, Hao Sun, Jiayi Ji, Xiaoshuai Sun, Qingwei Lin, Weiwei Deng, Dongmei Zhang, Feng Sun, Rongrong Ji
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ReST-KV: Robust KV Cache Eviction with Layer-wise Output Reconstruction and Spatial-Temporal SmoothingYongqi An, Chang Lu, Kuan Zhu, Tao Yu, Chaoyang Zhao, Hong Wu, Ming Tang, Jinqiao Wang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ReSplat: Degradation-agnostic Feed-forward Gaussian Splatting via Self-guided Residual DiffusionYoungho Yoon, Kuk-Jin Yoon
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly DetectionSanghyu Yoon, Dongmin Kim, Suhee Yoon, YE SEUL SIM, Seungdong YOA, Hye-Seung Cho, Soonyoung Lee, Hankook Lee, Woohyung Lim
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ReTool: Reinforcement Learning for Strategic Tool Use in LLMsJiazhan Feng, Shijue Huang, Xingwei Qu, Ge Zhang, Yujia Qin, Baoquan Zhong, Chengquan Jiang, Jinxin Chi, Wanjun Zhong
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ReTrace: Reinforcement Learning-Guided Reconstruction Attacks on Machine UnlearningMengyao Ma, Shuofeng Liu, Minhui Xue, Surya Nepal, Guangdong Bai
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ReVeal: Self-Evolving Code Agents via Reliable Self-VerificationYiyang Jin, Kunzhao Xu, Hang Li, Xueting Han, Yanmin Zhou, Cheng Li, Jing Bai
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ReWatch-R1: Boosting Complex Video Reasoning in Large Vision-Language Models through Agentic Data SynthesisCongzhi Zhang, Zhibin Wang, Yinchao Ma, Jiawei Peng, Yihan Wang, Qiang Zhou, Jun Song, Bo Zheng
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ReactDance: Hierarchical Representation for High-Fidelity and Coherent Long-Form Reactive Dance GenerationJingzhong Lin, Xinru Li, Yuanyuan Qi, Bohao Zhang, Wenxiang Liu, Kecheng Tang, Wenxuan Huang, Xiangfeng Xu, Bangyan Li, Changbo Wang, Gaoqi He
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ReactID: Synchronizing Realistic Actions and Identity in Personalized Video GenerationWei Li, Yiheng Zhang, Fuchen Long, Zhaofan Qiu, Ting Yao, Xiaoyan Sun, Tao Mei
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Read the Room: Video Social Reasoning with Mental-Physical Causal ChainsLixing Niu, Jiapeng Li, Xingping Yu, Xinyi Dong, Shu Wang, Ruining Feng, Bo Wu, Ping Wei, Yisen Wang, Lifeng Fan
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Reading Images Like Texts: Sequential Image Understanding in Vision-Language ModelsYueyan Li, Chenggong Zhao, Zeyuan Zang, Caixia YUAN, Xiaojie Wang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Readout Representation: Redefining Neural Codes by Input RecoveryShunsuke Onoo, Yoshihiro Nagano, Yukiyasu Kamitani
Machine Learning
日本大学: 京都大学
2026 · ICLR
Real-Time Motion-Controllable Autoregressive Video DiffusionKesen Zhao, Jiaxin Shi, Beier Zhu, Junbao Zhou, Xiaolong Shen, Yuan Zhou, Qianru Sun, Hanwang Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Real-Time Reasoning Agents in Evolving EnvironmentsYule Wen, Yixin Ye, Yanzhe Zhang, Diyi Yang, Hao Zhu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Real-Time Robot Execution with Masked Action ChunkingHaoxuan Wang, Gengyu Zhang, Yan Yan, Yuzhang Shang, Ramana Kompella, Gaowen Liu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RealPDEBench: A Benchmark for Complex Physical Systems with Real-World DataPeiyan Hu, Haodong Feng, Hongyuan Liu, Tongtong Yan, Wenhao Deng, Tianrun Gao, Rong Zheng, Haoren Zheng, Chenglei Yu, Chuanrui Wang, Kaiwen Li, Zhi-Ming Ma, Dezhi Zhou, Xingcai Lu, Dixia Fan, Tailin Wu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Realtime Video Frame Interpolation using One-Step Diffusion SamplingYongrui Ma, Shijie Zhao, Mingde Yao, Junlin Li, Li zhang, Xiaohong Liu, Qi Dou, Jinwei Gu, Tianfan Xue
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Reasoned Safety Alignment: Ensuring Jailbreak Defense via Answer-Then-CheckChentao Cao, Xiaojun Xu, Bo Han, Hang Li
Machine Learning
日本大学: 東京大学
2026 · ICLR
Reasoning Boosts Opinion Alignment in LLMsFrédéric Berdoz, Yann Billeter, Yann Vonlanthen, Roger Wattenhofer
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Reasoning Language Model Inference Serving Unveiled: An Empirical StudyQi Li, Junpan Wu, Xiang Liu, Yuxin Wang, Zeyu Li, Zhenheng Tang, Yuhan CHEN, Shaohuai Shi, Xiaowen Chu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Reasoning Models Can be Accurately Pruned Via Chain-of-Thought ReconstructionRyan Lucas, Kayhan Behdin, Zhipeng Wang, Qingquan Song, shao tang, Rahul Mazumder
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Reasoning Scaffolding: Distilling the Flow of Thought from LLMsXiangyu Wen, Junhua Huang, Zeju LI, Min Li, Jianyuan Zhong, Zhijian Xu, Mingxuan Yuan, Yongxiang Huang, Qiang Xu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Reasoning as Representation: Rethinking Visual Reinforcement Learning in Image Quality AssessmentShijie Zhao, Xuanyu Zhang, Weiqi Li, Junlin Li, Li zhang, Tianfan Xue, Jian Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Reasoning in Space via Grounding in the WorldYiming Chen, Zekun Qi, Wenyao Zhang, Xin Jin, Li Zhang, Peidong Liu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Reasoning on Time-Series for Financial Technical AnalysisKelvin Koa, Jan Chen, Yunshan Ma, Zheng Huanhuan, Tat-Seng Chua
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Reasoning or Retrieval? A Study of Answer Attribution on Large Reasoning ModelsYuhui Wang, Changjiang Li, Guangke Chen, Jiacheng Liang, Ting Wang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Reasoning with Sampling: Your Base Model is Smarter Than You ThinkAayush Karan, Yilun Du
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Reasoning-Aligned Perception Decoupling for Scalable Multi-modal ReasoningYunhao Gou, Kai Chen, Zhili Liu, Lanqing HONG, Xin Jin, Zhenguo Li, James Kwok, Yu Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Reasoning-Driven Multimodal LLM for Domain GeneralizationZhipeng Xu, Zilong Wang, Xinyang Jiang, Dongsheng Li, De Cheng, Nannan Wang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ReasoningBank: Scaling Agent Self-Evolving with Reasoning MemorySiru Ouyang, Jun Yan, I-Hung Hsu, Yanfei Chen, Ke Jiang, Zifeng Wang, Rujun Han, Long Le, Samira Daruki, Xiangru Tang, Vishy Tirumalashetty, George Lee, Mahsan Rofouei, Hangfei Lin, Jiawei Han, Chen-Yu Lee, Tomas Pfister
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Reassessing Layer Pruning in LLMs: New Insights and MethodsYao Lu, Hao Cheng, Yujie Fang, Zeyu Wang, Jiaheng Wei, Dongwei Xu, Qi Xuan, Zhaowei Zhu
Machine Learning
日本大学: 関与なし(対象大学)