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
Poisson Midpoint Method for Log Concave Sampling: Beyond the Strong Error Lower Bounds
Rishikesh Srinivasan, Dheeraj Nagaraj
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PoliCon: Evaluating LLMs on Achieving Diverse Political Consensus Objectives
Zhaowei Zhang, Xiaobo Wang, Minghua Yi, Mengmeng Wang, Fengshuo Bai, Zilong Zheng, Yipeng Kang, Yaodong Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Policy Contrastive Decoding for Robotic Foundation Models
Shihan Wu, Xu Luo, Ji Zhang, Junlin Xie, Jingkuan Song, Heng Tao Shen, Lianli Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Policy Likelihood-based Query Sampling and Critic-Exploited Reset for Efficient Preference-based Reinforcement Learning
Jongkook Heo, JAEHOON KIM, Young Jae Lee, Min Gu Kwak, Youngjoon Park, Seoung Bum Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Policy Newton Algorithm in Reproducing Kernel Hilbert Space
Yixian Zhang, Huaze Tang, Changxu Wei, Chao Wang, Wenbo Ding
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PolicyFlow: Policy Optimization with Continuous Normalizing Flow in Reinforcement Learning
Shunpeng Yang, Ben Liu, Hua Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Poly-attention: a general scheme for higher-order self-attention
Sayak Chakrabarti, Toniann Pitassi, Josh Alman
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PolyGraph Discrepancy: a classifier-based metric for graph generation
Markus Krimmel, Philip Hartout, Karsten Borgwardt, Dexiong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PolySHAP: Extending KernelSHAP with Interaction-Informed Polynomial Regression
Fabian Fumagalli, R. Teal Witter, Christopher Musco
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PolySkill: Learning Generalizable Skills Through Polymorphic Abstraction For Continual Learning
Simon Yu, Gang Li, Weiyan Shi, Peng Qi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Polychromic Objectives for Reinforcement Learning
Jubayer Hamid, Ifdita Orney, Ellen Xu, Chelsea Finn, Dorsa Sadigh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Polynomial Convergence of Riemannian Diffusion Models
Xingyu Xu, Ziyi Zhang, Yorie Nakahira, Guannan Qu, Yuejie Chi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Polynomial, trigonometric, and tropical activations
Ismail Khalfaoui Hassani, Stefan Kesselheim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PonderLM: Pretraining Language Models to Ponder in Continuous Space
Boyi Zeng, Shixiang Song, Siyuan Huang, Yixuan Wang, He Li, Ziwei He, Xinbing Wang, Zhiyu li, Zhouhan Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pose Prior Learner: Unsupervised Categorical Prior Learning for Pose Estimation
Ziyu Wang, SHUANGPENG HAN, Mengmi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pose-RFT: Aligning MLLMs for 3D Pose Generation via Hybrid Action Reinforcement Fine-Tuning
Bao Li, Xiaomei Zhang, Miao Xu, Zhaoxin Fan, Xiangyu Zhu, Zhen Lei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PoseX: AI Defeats Physics-based Methods on Protein Ligand Cross-Docking
Yize Jiang, Xinze Li, Yuanyuan Zhang, Jin Han, Youjun Xu, Ayush Pandit, ZAIXI ZHANG, Mengdi Wang, Mengyang Wang, Chong Liu, Guang Yang, Yejin Choi, Yingzhou Lu, Wu-Jun Li, Tianfan Fu, Fang Wu, Junhong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Positional Encoding Field
Yunpeng Bai, Haoxiang Li, Qixing Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Post-Training Quantization for Video Matting
Tianrui Zhu, Houyuan Chen, Ruihao Gong, Michele Magno, Haotong Qin, Kai Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Post-hoc Probabilistic Vision-Language Models
Anton Baumann, Rui Li, Marcus Klasson, Santeri Mentu, Shyamgopal Karthik, Zeynep Akata, Arno Solin, Martin Trapp
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Post-training Large Language Models for Diverse High-Quality Responses
Yilei Chen, Souradip Chakraborty, Lorenz Wolf, Ioannis Paschalidis, Aldo Pacchiano
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PostAlign: Multimodal Grounding as a Corrective Lens for MLLMs
Yixuan Wu, Yang Zhang, JIAN Wu, Philip Torr, Jindong Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework
Sixiang Chen, Jianyu Lai, Jialin Gao, Tian Ye, Haoyu Chen, Hengyu Shi, Shitong Shao, Yunlong Lin, Song Fei, Zhaohu Xing, Yeying Jin, Junfeng Luo, Xiaoming Wei, Lei Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning
Chang Huang, Shatong Zhu, Junqiao Zhao, Hongtu Zhou, Hai Zhang, Di Zhang, Chen Ye, Ziqiao Wang, Guang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Practical estimation of the optimal classification error with soft labels and calibration
Ryota Ushio, Takashi Ishida, Masashi Sugiyama
Machine Learning
日本大学: 東京大学
2026 · ICLR
Pragma-VL: Towards a Pragmatic Arbitration of Safety and Helpfulness in MLLMs
Ming Wen, Kun Yang, Xin Chen, Jingyu Zhang, DINGDING HAN, shiwen cui, Yuedong Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pre-training LLM without Learning Rate Decay Enhances Supervised Fine-Tuning
Kazuki Yano, Shun Kiyono, Sosuke Kobayashi, Sho Takase, Jun Suzuki
Machine Learning
日本大学: 東北大学
2026 · ICLR
Pre-training Limited Memory Language Models with Internal and External Knowledge
Linxi Zhao, Sofian Zalouk, Christian Belardi, Justin Lovelace, Jin Zhou, Ryan Noonan, Dongyoung Go, Kilian Weinberger, Yoav Artzi, Jennifer Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pre-training under infinite compute
Konwoo Kim, Suhas Kotha, Percy Liang, Tatsunori Hashimoto
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Precise and Interpretable Editing of Code Knowledge in Large Language Models
Min Xue, Nikolai Bolik, Lennart Stöpler, Erik Imgrund, Janik Schmid, Artur Andrzejak
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PreciseCache: Precise Feature Caching for Efficient and High-fidelity Video Generation
Jiangshan Wang, Kang Zhao, Jiayi Guo, Jiayu Wang, Hang Guo, Chenyang Zhu, Xiu Li, Xiangyu Yue
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PredNext: Explicit Cross-View Temporal Prediction for Unsupervised Learning in Spiking Neural Networks
Yiting Dong, Jianhao Ding, Zijie Xu, Tong Bu, Zhaofei Yu, Tiejun Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Predicting Kernel Regression Learning Curves from Only Raw Data Statistics
Dhruva Karkada, Joseph Turnbull, Yuxi Liu, James Simon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Predicting LLM Output Length via Entropy-Guided Representations
Huanyi Xie, Yubin Chen, Liangyu Wang, Lijie Hu, Di Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Predicting LLM Reasoning Performance with Small Proxy Model
Woosung Koh, Juyoung Suk, Sungjun Han, Se-Young Yun, Jay Shin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Predicting Training Re-evaluation Curves Enables Effective Data Curriculums for LLMs
Shane Bergsma, Nolan Dey, Joel Hestness
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Prediction with Expert Advice under Local Differential Privacy
Ben Jacobsen, Kassem Fawaz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Predictive CVaR Q-learning
Ju-Hyun Kim, Seungki Min
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Predictive Differential Training Guided by Training Dynamics
Fanqi Wang, Weisheng Tang, Landon Harris, Hairong Qi, Dan Wilson, Igor Mezic
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PrefDisco: Benchmarking Proactive Personalized Reasoning
Stella Li, Avinandan Bose, Faeze Brahman, Simon Du, Pang Wei Koh, Maryam Fazel, Yulia Tsvetkov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PreferThinker: Reasoning-based Personalized Image Preference Assessment
Shengqi Xu, Xinpeng Zhou, Yabo Zhang, Ming Liu, Tao Liang, Tianyu Zhang, Yalong Bai, Zuxuan Wu, Wangmeng Zuo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Preference Leakage: A Contamination Problem in LLM-as-a-judge
Dawei Li, Renliang Sun, Yue Huang, Ming Zhong, Bohan Jiang, Jiawei Han, Xiangliang Zhang, Wei Wang, huan liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Preference-based Policy Optimization from Sparse-reward Offline Dataset
Wenjie Qiu, Guofeng Cui, Shicheng Liu, Yuanlin Duan, He Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PrefixMemory-Tuning: Modernizing Prefix-Tuning by Decoupling the Prefix from Attention
Haonan Wang, Brian Chen, Siquan Li, Liang Xinhe, Hwee Lee, Kenji Kawaguchi, Tianyang Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Premise Selection for a Lean Hammer
Thomas Zhu, Joshua Clune, Jeremy Avigad, Qiaochu Jiang, Sean Welleck
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Presenting a Paper is an Art: Self-Improvement Aesthetic Agents for Academic Presentations
Chengzhi Liu, Yuzhe YANG, Kaiwen Zhou, Zhen Zhang, Yue Fan, Yanan Xie, Peng Qi, Xin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Preserve and Personalize: Personalized Text-to-Image Diffusion Models without Distributional Drift
Gihoon Kim, Hyungjin Park, Taesup Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Preserve and Sculpt: Manifold-Aligned Fine-tuning of Vision-Language Models for Few-Shot Learning
Dexia Chen, Qianjie Zhu, Weibing Li, Yue Yu, Tong Zhang, Ruixuan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale
Zhengcen Li, Chenyang Jiang, Hang Zhao, Shiyang Zhou, Yunyang Mo, Feng Gao, Fan Yang, Qiben Shan, Shaocong Wu, Jingyong Su
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pretrain Value, Not Reward: Decoupled Value Policy Optimization
Chenghua Huang, Lu Wang, Fangkai Yang, Pu Zhao, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pretraining Scaling Laws for Generative Evaluations of Language Models
Rylan Schaeffer, Noam Levi, Brando Miranda, Sanmi Koyejo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pretraining with Re-parametrized Self-Attention: Unlocking Generalizationin SNN-Based Neural Decoding Across Time, Brains, and Tasks
Yuqi Yang, Tengjun Liu, Haiyan Zhang, Wang Ruixue, Xuchao Chen, Mingkang Li, Yansong Chua, Nenggan Zheng, Shaomin Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pretraining with hierarchical memories: separating long-tail and common knowledge
Hadi Pouransari, David Grangier, C Thomas, Michael Kirchhof, Oncel Tuzel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pretrain–Test Task Alignment Governs Generalization in In-Context Learning
Mary Letey, Jacob Zavatone-Veth, Yue Lu, Cengiz Pehlevan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression
Anvit Garg, Sohom Bhattacharya, Pragya Sur
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Price of Quality: Sufficient Conditions for Sparse Recovery using Mixed-Quality Data
Youssef Chaabouni, David Gamarnik
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Prima.cpp: Fast 30-70B LLM Inference on Heterogeneous and Low-Resource Home Clusters
Zonghang Li, Tao Li, Wenjiao Feng, Rongxing Xiao, Jianshu She, Hong Huang, Mohsen Guizani, Hongfang Yu, Qirong Ho, Wei Xiang, Xue Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Primal-Dual Policy Optimization for Linear CMDPs with Adversarial Losses
Kihyun Yu, Seoungbin Bae, Dabeen Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Primary-Fine Decoupling for Action Generation in Robotic Imitation
Xiaohan Lei, Min Wang, Wengang Zhou, Xingyu Lu, Houqiang Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Principled Fast and Meta Knowledge Learners for Continual Reinforcement Learning
Ke Sun, Hongming Zhang, Jun Jin, Chao Gao, Xi Chen, Wulong Liu, Linglong Kong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective
Jingyang Ou, Jiaqi Han, Minkai Xu, Shaoxuan Xu, Jianwen Xie, Stefano Ermon, Yi Wu, Chongxuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Prior-aware and Context-guided Group Sampling for Active Probabilistic Subsampling
Beomgu Kang, Hyunseok Seo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Prior-based Noisy Text Data Filtering: Fast and Strong Alternative For Perplexity
Yeongbin Seo, Gayoung Kim, Jaehyung Kim, Jinyoung Yeo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Prior-free Tabular Test-time Adaptation
Rundong He, Jieming Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference
Yang, Severi Rissanen, Paul Chang, Nasrulloh Satrio, Daolang Huang, Arno Solin, Markus Heinonen, Luigi Acerbi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Priors in time: Missing inductive biases for language model interpretability
Ekdeep Singh Lubana, Can Rager, Sai Sumedh R. Hindupur, Valérie Costa, Oam Patel, Sonia Murthy, Thomas Fel, Greta Tuckute, Daniel Wurgaft, Eric Bigelow, Demba Ba, Melanie Weber, Aaron Mueller
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PrismAudio: Decomposed Chain-of-Thought and Multi-dimensional Rewards for Video-to-Audio Generation
Huadai Liu, Kaicheng Luo, Wen Wang, Qian Chen, Peiwen Sun, Rongjie Huang, Xiangang Li, Jieping Ye, Wei Xue
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding
Joseph Fioresi, Ishan Rajendrakumar Dave, Mubarak Shah
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Privacy-Protected Causal Survival Analysis Under Distribution Shift
Yi Liu, Alexander Levis, Ke Zhu, Shu Yang, Peter Gilbert, Larry Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Private Rate-Constrained Optimization with Applications to Fair Learning
Mohammad Yaghini, Tudor Cebere, Michael Menart, Aurélien Bellet, Nicolas Papernot
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ProPerSim: Developing Proactive and Personalized AI Assistants through User-Assistant Simulation
Jiho Kim, Junseong Choi, Woosog Chay, Daeun Kyung, Yeonsu Kwon, Yohan Jo, Edward Choi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ProRe: A Proactive Reward System for GUI Agents via Reasoner–Actor Collaboration
Gaole Dai, Shiqi Jiang, Ting Cao, Yuqing Yang, Yuanchun Li, Rui Tan, Mo Li, Lili Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ProReGen: Progressive Residual Generation under Attribute Correlations
Ruby Shrestha, Ajay Gopi, Casey Meisenzahl, Bipin Lekhak, Linwei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ProSafePrune: Projected Safety Pruning for Mitigating Over-Refusal in LLMs
Zijun Chen, Wenbo Hu, Ya Li, Lei Miao, Guoping Hu, Richang Hong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ProTDyn: A Foundation Protein Language Model for Thermodynamics and Dynamics Generation
Yikai Liu, Haoyang Zheng, Lining Mao, Yanbin Wang, Ming Chen, Guang Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Probabilistic Kernel Function for Fast Angle Testing
Kejing Lu, Chuan Xiao, Yoshiharu Ishikawa
Machine Learning
日本大学: 名古屋大学 / 山梨大学
2026 · ICLR
Probability Distributions Computed by Autoregressive Transformers
Andy Yang, Anej Svete, Jiaoda Li, Anthony W. Lin, Jonathan Rawski, Ryan Cotterell, David Chiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Probing Rotary Position Embeddings through Frequency Entropy
Yui Oka, Kentaro Hanafusa, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito
Machine Learning
日本大学: 愛媛大学
2026 · ICLR
Probing in the Dark: State Entropy Maximization for POMDPs
Yonatan Ashlag, Mirco Mutti, Aviv Tamar, Kfir Y Levy
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Probing to Refine: Reinforcement Distillation of LLM Reasoners via Explanatory Inversion
Zhen Tan, Chengshuai Zhao, Song Wang, Jundong Li, Tianlong Chen, huan liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Procedural Mistake Detection via Action Effect Modeling
Wenliang Guo, Yujiang Pu, Yu Kong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Process-Level Trajectory Evaluation for Environment Configuration in Software Engineering Agents
Jiayi Kuang, Yinghui Li, Xin Zhang, Yangning Li, di yin, Xing Sun, Ying Shen, Philip Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Process-Verified Reinforcement Learning for Theorem Proving via Lean
Minsu Kim, Se-Young Yun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Product of Experts for Visual Generation
Yunzhi Zhang, Carson Murtuza-Lanier, Zizhang Li, Yilun Du, Jiajun Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge
Zhilin Wang, Jaehun Jung, Ximing Lu, Shizhe Diao, Ellie Evans, Jiaqi Zeng, Pavlo Molchanov, Yejin Choi, Jan Kautz, Yi Dong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Programming by Backprop: An Instruction is Worth 100 Examples When Finetuning LLMs
Jonathan Cook, Silvia Sapora, Arash Ahmadian, Akbir Khan, Tim Rocktaeschel, Jakob Foerster, Laura Ruis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Programming with Pixels: Can Computer-Use Agents do Software Engineering?
Pranjal Aggarwal, Sean Welleck
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Progressive Gaussian Transformer with Anisotropy-aware Sampling for Open Vocabulary Occupancy Prediction
Chi Yan, Dan Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Progressive Online Video Understanding with Evidence-Aligned Timing and Transparent Decisions
Kecheng Zhang, Zongxin Yang, Mingfei Han, Haihong Hao, Yunzhi Zhuge, Changlin Li, junhan zhao, Zhihui Li, Xiaojun Chang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Projected Coupled Diffusion for Test-Time Constrained Joint Generation
Hao Luan, Yi Xian Goh, See-Kiong Ng, Chun Kai Ling
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Prompt Curriculum Learning for Efficient LLM Post-Training
Zhaolin Gao, Joongwon Kim, Wen Sun, Thorsten Joachims, Sid Wang, Richard Yuanzhe Pang, Liang Tan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Prompt and Parameter Co-Optimization for Large Language Models
Xiaohe Bo, Rui Li, Zexu Sun, Quanyu Dai, Zeyu Zhang, Zihang Tian, Xu Chen, Zhenhua Dong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Prompt-MII: Meta-Learning Instruction Induction for LLMs
Emily Xiao, Yixiao Zeng, Ada Chen, Chin-Jou Li, Amanda Bertsch, Graham Neubig
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Prompt-Robust Vision-Language Models via Meta-Finetuning
Haohui Liang, Runlin Huang, Yingjun Du, Yujia Hu, Weifeng Su, Cees G Snoek
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PromptHub: Enhancing Multi-Prompt Visual In-Context Learning with Locality-Aware Fusion, Concentration and Alignment
Tianci Luo, Jinpeng Wang, Shiyu Qin, Niu Lian, Yan Feng, Bin Chen, Chun Yuan, Shu-Tao Xia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ProofBridge: Auto-Formalization of Natural Language Proofs in Lean via Joint Embeddings
Prithwish Jana, Kaan Kale, Ahmet Tanriverdi, Cruise Song, Sriram Vishwanath, Vijay Ganesh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ProofFlow: A Dependency Graph Approach to Faithful Proof Autoformalization
Rafael Cabral, Tuan Manh, Xuejun Yu, Wai Ming Tai, Zijin Feng, Shen Xin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ProofOptimizer: Training Language Models to Simplify Proofs without Human Demonstrations
Alex Gu, Bartosz Piotrowski, Fabian Gloeckle, Kaiyu Yang, Aram Markosyan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Propaganda AI: An Analysis of Semantic Divergence in Large Language Models
Nay Myat Min, Long H. Pham, Yige Li, Jun Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PropensityBench: Evaluating Latent Safety Risks in Large Language Models via an Agentic Approach
Udari Sehwag, Shayan Shabihi, Alex McAvoy, Vikash Sehwag, Yuancheng Xu, Dalton towers, Furong Huang
Machine Learning
日本大学: 関与なし（対象大学）