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
Building a Foundational Guardrail for General Agentic Systems via Synthetic Data
Yue Huang, Hang Hua, Yujun Zhou, Pengcheng Jing, Manish Nagireddy, Inkit Padhi, Greta Dolcetti, Zhangchen Xu, Subhajit Chaudhury, Ambrish Rawat, Liubov Nedoshivina, Pin-Yu Chen, Prasanna Sattigeri, Xiangliang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Building spatial world models from sparse transitional episodic memories
Zizhan He, Maxime Daigle, Pouya Bashivan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Bures-Isotropy Alignment: Manifold Learning of Generalized Category Discovery
Luyao Tang, Kunze Huang, Chaoqi Chen, Cheng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Bures-Wasserstein Flow Matching for Graph Generation
Keyue Jiang, Jiahao Cui, Xiaowen Dong, Laura Toni
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ByteFlow: Language Modeling through Adaptive Byte Compression without a Tokenizer
Chunyuan Deng, Sanket Lokegaonkar, Colin Lockard, Besnik Fetahu, Nasser Zalmout, Xian Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Byzantine-Robust Federated Learning with Learnable Aggregation Weights
Javad Parsa, Amir Daghestani, André M. H. Teixeira, Mikael Johansson
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
BézierFlow: Learning Bézier Stochastic Interpolant Schedulers for Few-Step Generation
Yunhong Min, Juil Koo, Seungwoo Yoo, Minhyuk Sung
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
C-Evolve: Consensus-based Evolution for Prompt Groups
Tiancheng Li, Yuhang Wang, Zhiyang Chen, Zijun Wang, Liyuan Ma, Guo-Jun Qi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
C-Voting: Confidence-Based Test-Time Voting without Explicit Energy Functions
Kenji Kubo, Shunsuke Kamiya, Masanori Koyama, Kohei Hayashi, Yusuke Iwasawa, Yutaka Matsuo
Machine Learning
日本大学: 東京大学
2026 · ICLR
CAD-Tokenizer: Towards Text-Based CAD Prototyping via Modality-Specific Tokenization
Ruiyu Wang, Shizhao Sun, Weijian Ma, Jiang Bian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CAGE: A Framework for Culturally Adaptive Red-Teaming Benchmark Generation
Chaeyun Kim, YongTaek Lim, Kihyun Kim, Junghwan Kim, Minwoo Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CALM: Co-evolution of Algorithms and Language Model for Automatic Heuristic Design
Ziyao Huang, Weiwei Wu, Kui Wu, Wei-Bin Lee, Jianping Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CAPSUL: A Comprehensive Human Protein Benchmark for Subcellular Localization
Yicheng Hu, Xinyu Lin, Shulin Li, Wenjie Wang, Fengbin ZHU, Fuli Feng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CAR-LoRA: Training Compression-Aware and Robust LoRA Adapters for Evolving LLMs
Rana Muhammad Shahroz Khan, Zhen Tan, Ruichen Zhang, Hua Wei, Tianlong Chen, Charles Fleming
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CARD: Towards Conditional Design of Multi-agent Topological Structures
Tongtong Wu, Yanming Li, Ziye Tang, Chen Jiang, Linhao Luo, Guilin Qi, Shirui Pan, Gholamreza Haffari
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CARE: Covariance-Aware and Rank-Enhanced Decomposition for Enabling Multi-Head Latent Attention
Zhongzhu Zhou, Fengxiang Bie, Ziyan Chen, Zhenyu Zhang, Yibo Yang, Junxiong Wang, Ben Athiwaratkun, Xiaoxia (Shirley) Wu, Shuaiwen Song
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CARE: Towards Clinical Accountability in Multi-Modal Medical Reasoning with an Evidence-Grounded Agentic Framework
Yuexi Du, Jinglu Wang, Shujie LIU, Nicha C Dvornek, Yan Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CARL: Camera-Agnostic Representation Learning for Spectral Image Analysis
Alexander Baumann, Leonardo Ayala, Silvia Seidlitz, Jan Sellner, Alexander Studier-Fischer, Berkin Özdemir, Lena Maier-Hein, Slobodan Ilic
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CARL: Preserving Causal Structure in Representation Learning
Yulong Li, Xiwei Liu, Barrett Tang, Zhixiang Lu, Ming Hu, Yichen Li, Haochen Xue, Peixin Guo, Jionglong Su, Yutong Xie, Eran Segal, Imran Razzak
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Vision-Language Model
Ruijiang Dong, Zesheng Ye, Jianzhong Qi, Lei Feng, Feng Liu, Gang Niu, Masashi Sugiyama
Machine Learning
日本大学: 東京大学
2026 · ICLR
CASteer: Cross-Attention Steering for Controllable Concept Erasure
Tatiana Gaintseva, Andreea-Maria Oncescu, Chengcheng Ma, Ziquan Liu, Martin Benning, Gregory Slabaugh, Jiankang Deng, Ismail Elezi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CDBridge: A Cross-omics Post-training Bridge Strategy for Context-aware Biological Modeling
Chang Yu, Siyuan Li, Zicheng Liu, Jingbo Zhou, Xianglong Guo, Kai Yu, Yuqing Zhou, Ken Li, Zelin Zang, Zhen Lei, Stan Z Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models
Runpeng Dai, Linfeng Song, Haolin Liu, Zhenwen Liang, Dian Yu, Haitao Mi, Zhaopeng Tu, Rui Liu, Tong Zheng, Hongtu Zhu, Dong Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CE-Nav: Flow-Guided Reinforcement Refinement for Cross-Embodiment Local Navigation
Kai Yang, Tianlin Zhang, Zhengbo Wang, Zedong Chu, Xiaolong Wu, Yang Cai, Mu Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CERTIFIED VS. EMPIRICAL ADVERSARIAL ROBUSTNESS VIA HYBRID CONVOLUTIONS WITH ATTENTION STOCHASTICITY
Joy Dhar, Song Xia, Manish Pandey, Maryam Haghighat, Azadeh Alavi, Ferdous Sohel, Wenyu Zhang, Nayyar Zaidi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CFO: Learning Continuous-Time PDE Dynamics via Flow-Matched Neural Operators
Xianglong Hou, Xinquan Huang, Paris Perdikaris
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo Filter
Zihang Li, Yangdong Ruan, Wenjun Liu, Zhengyang Wang, Tong Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CGSA: Class-Guided Slot-Aware Adaptation for Source-Free Object Detection
Boyang Dai, 曾 Fan, Zihao Qi, Meng Lou, Yizhou Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CHAMMI-75: Pre-training multi-channel models with heterogeneous microscopy images
Vidit Agrawal, John Peters, Tyler Thompson, Mohammad Sanian, Chau Pham, Nikita Moshkov, Arshad Kazi, Aditya Pillai, Jack Freeman, Byunguk Kang, Samouil Farhi, Ernest Fraenkel, Ron Stewart, Lassi Paavolainen, Bryan Plummer, Juan Caicedo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CHROMA: Consistent Harmonization of Multi-View Appearance via Bilateral Grid Prediction
Jisu Shin, Richard Shaw, Seunghyun Shin, Zhensong Zhang, Hae-Gon Jeon, Eduardo Pérez-Pellitero
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CIAR: Interval-based Collaborative Decoding for Image Generation Acceleration
Keming Ye, Zhou Zhao, Fan Wu, Shengyu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CIMemories: A Compositional Benchmark For Contextual Integrity In LLMs
Niloofar Mireshghallah, Neal Mangaokar, Narine Kokhlikyan, Arman Zharmagambetov, Manzil Zaheer, Saeed Mahloujifar, Kamalika Chaudhuri
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CL-DPS: A Contrastive Learning Approach to Blind Nonlinear Inverse Problem Solving via Diffusion Posterior Sampling
Linfeng Ye, Shayan Mohajer Hamidi, Mert Pilanci, Konstantinos Plataniotis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning
Runjian Chen, Hang Zhang, Avinash Ravichandran, Hyoungseob Park, Wenqi Shao, Alex Wong, Ping Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CLARC: C/C++ Benchmark for Robust Code Search
Kaicheng Wang, Liyan Huang, Weike Fang, Weihang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CLASH: Evaluating Language Models on Judging High-Stakes Dilemmas from Multiple Perspectives
Ayoung Lee, Ryan Kwon, Peter Railton, Lu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering
Yang Zhao, Chengxiao Dai, Wei Zhuo, Yue Xiu, Dusit Niyato
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk
Ilia Azizi, Juraj Bodik, Jakob M. Heiss, Bin Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally
Darina Koishigarina, Arnas Uselis, Seong Joon Oh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CLIP-FMoE: Scalable CLIP via Fused Mixture-of-Experts with Enforced Specialization
Luong Tran, Lan-Cuong Nguyen, Huynh Dang Nguyen, Nguyen Cong Dat, Dung D. Le, Van Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CLUE: Conflict-guided Localization for LLM Unlearning Framework
Hang Chen, Jiaying Zhu, Xinyu Yang, Wenya Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CLUTCH: Contextualized Language model for Unlocking Text-Conditioned Hand motion modelling in the wild
Balamurugan Thambiraja, Omid Taheri, Radek Danecek, Giorgio Becherini, Gerard Pons-Moll, Justus Thies
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CLoD-GS: Continuous Level-of-Detail via 3D Gaussian Splatting
Zhigang Cheng, Mingchao Sun, Liu Yu, zengye ge, Luyang Tang, Mu Xu, Yangyan Li, Peng Pan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics
Weida Wang, Dongchen Huang, Jiatong LI, Tengchao Yang, Ziyang Zheng, Chuyi Peng, Di Zhang, Dong Han, Benteng Chen, Binzhao Luo, Zhiyu Liu, kunling liu, Zhiyuan Gao, Shiqigeng geng, Wei Ma, Jiaming Su, Xin Li, Shuchen Pu, Yuhan Shui, Qianjia Cheng, Zhihao Dou, Dongfei Cui, Changyong He, Jin Zeng, Zeke Xie, Mao Su, Dongzhan Zhou, Yuqiang Li, Wanli Ouyang, Yunqi Cai, Xi Dai, Shufei Zhang, LEI BAI, Jinguang Cheng, Zhong Fang, Hongming Weng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers
Haining Pan, James Roggeveen, Erez Berg, Juan Alvarez, Debanjan Chowdhury, Surya Ganguli, Federico Ghimenti, Juraj Hasik, Henry Hunt, Hong-Chen Jiang, Mason Kamb, Ying-Jer Kao, Ehsan Khatami, Michael Lawler, Di Luo, Titus Neupert, Xiaoliang Qi, Michael Brenner, Eun-Ah Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow-Map Models
Zheyuan Hu, Chieh-Hsin Lai, Yuki Mitsufuji, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
COLD-Steer: Steering Large Language Models via In-Context One-step Learning Dynamics
Kartik Sharma, Rakshit Trivedi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences
Yixin Liu, Argyris Oikonomou, Weiqiang Zheng, Yang Cai, Arman Cohan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
COMI: Coarse-to-fine Context Compression via Marginal Information Gain
Jiwei Tang, Shilei Liu, ZHICHENG ZHANG, Yujin Yuan, Libin Zheng, wenbo su, Bo Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
COMPASS: Robust Feature Conformal Prediction for Medical Segmentation Metrics
Matt Cheung, Ashok Veeraraghavan, Guha Balakrishnan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CONCUR: A Framework for Continual Constrained and Unconstrained Routing
Peter Baile Chen, Weiyue Li, Dan Roth, Mike Cafarella, Samuel Madden, Jacob Andreas
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition
Bruno Viti, Elias Karabelas, Martin Holler
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
COOPERTRIM: Adaptive Data Selection for Uncertainty-Aware Cooperative Perception
Shilpa Mukhopadhyay, Amit Roy-Chowdhury, Hang Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CORDS - Continuous Representations of Discrete Structures
Tin Hadži Veljković, Erik Bekkers, Michael Tiemann, Jan-Willem van de Meent
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CORE: Concept-Oriented Reinforcement for Bridging the Definition–Application Gap in Mathematical Reasoning
Zijun Gao, Zhikun Xu, Xiao Ye, Ben Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
COSA: Context-aware Output-Space Adapter for Test-Time Adaptation in Time Series Forecasting
Jeonghwan Im, Hyuk-Yoon Kwon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
COSMO-INR: Complex Sinusoidal Modulation for Implicit Neural Representations
Pandula Thennakoon, Avishka Ranasinghe, Mario De Silva, Buwaneka Epakanda, Roshan Godaliyadda, Mervyn Ekanayake, Vijitha Herath
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
COSMOS: A Hybrid Adaptive Optimizer for Efficient Training of Large Language Models
Liming Liu, Zhenghao Xu, Zixuan Zhang, Hao Kang, Zichong Li, Chen Liang, Weizhu Chen, Tuo Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CP-Agent: Context‑Aware Multimodal Reasoning for Cellular Morphological Profiling under Chemical Perturbations
Yuxin Zhang, Yiyao Li, Ping Ho, Simon See, Zhenqin Wu, Kevin Tsia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CPQS-Tuning: A Model Self-Perception-Based Data Filtering Algorithm for Efficient Instruction Fine-Tuning
YI REN, Yanhui Li, Tianyi Zhang, Diandong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series Forecasting
Jiyuan Xu, Wenyu Zhang, Xin Jing, Jiahao Nie, Shuai Chen, Shuai Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure
Boao Kong, Junzhu Liang, Yuxi Liu, Renjia Deng, Kun Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CREPE: Controlling diffusion with REPlica Exchange
Jiajun He, Paul Jeha, Peter Potaptchik, Leo Zhang, José Miguel Hernández Lobato, Yuanqi Du, Saifuddin Syed, Francisco Vargas
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CRONOS: Continuous time reconstruction for 4D medical longitudinal series
Nico Disch, Saikat Roy, Constantin Ulrich, Yannick Kirchhoff, Maximilian Rokuss, Robin Peretzke, David Zimmerer, Klaus Maier-Hein
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CSRv2: Unlocking Ultra-Sparse Embeddings
Lixuan Guo, Yifei Wang, Tiansheng Wen, Yifan Wang, Aosong Feng, Bo Chen, Stefanie Jegelka, Chenyu You
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CTBench: Cryptocurrency Time Series Generation Benchmark
Yihao Ang, Qiang Wang, Qiang Huang, Yifan Bao, Xinyu Xi, Anthony Tung, Chen Jin, Zhiyong Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech Recognition
Martijn Bartelds, Ananjan Nandi, Moussa Koulako Bala Doumbouya, Dan Jurafsky, Tatsunori Hashimoto, Karen Livescu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CTRL&SHIFT: High-quality Geometry-Aware Object Manipulation in Visual Generation
Penghui Ruan, Bojia Zi, Xianbiao Qi, Youze Huang, Rong Xiao, Pichao WANG, Jiannong Cao, Yuhui Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning
xiaoya li, Xiaofei Sun, Albert Wang, Jiwei Li, Chris Shum
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CUPID: A Plug-in Framework for Joint Aleatoric and Epistemic Uncertainty Estimation with a Single Model
Xinran Xu, Xiuyi Fan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CaRe-BN: Precise Moving Statistics for Stabilizing Spiking Neural Networks in Reinforcement Learning
Zijie Xu, Xinyu Shi, Yiting Dong, Zihan Huang, Zhaofei Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CaReBench: A Fine-grained Benchmark for Video Captioning and Retrieval
Yifan Xu, Xinhao Li, Yichun Yang, Desen Meng, Rui Huang, Limin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CaTS: Calibrated Test-Time Scaling for Efficient LLM Reasoning
Chengsong Huang, Langlin Huang, Jixuan Leng, Jiacheng Liu, Jiaxin Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers for Causally Constrained Predictions
Matthew Vowels, Mathieu Rochat, Sina Akbari
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cache What Lasts: Token Retention for Memory-Bounded KV Cache in LLMs
Ngoc Bui, Shubham Sharma, Simran Lamba, Saumitra Mishra, Rex Ying
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cache-to-Cache: Direct Semantic Communication Between Large Language Models
Tianyu Fu, Zihan Min, Hanling Zhang, Jichao Yan, Guohao Dai, Wanli Ouyang, Yu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cactus: Accelerating Auto-Regressive Decoding with Constrained Acceptance Speculative Sampling
Yongchang Hao, Lili Mou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Calibrated Information Bottleneck for Trusted Multi-modal Clustering
Shizhe Hu, Zhangwen Gou, Shuaiju Li, Jin Qin, Xiaoheng Jiang, Pei Lv, Mingliang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Calibrating Verbalized Confidence with Self-Generated Distractors
Victor Wang, Elias Stengel-Eskin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cambrian-S: Towards Spatial Supersensing in Video
Shusheng Yang, Jihan YANG, Pinzhi Huang, Ellis Brown, Zihao Yang, Yue Yu, Shengbang Tong, Zihan Zheng, Yifan Xu, Muhan Wang, Rob Fergus, Yann LeCun, Li Fei-Fei, Saining Xie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Can LLMs Reason Soundly in Law? Auditing Inference Patterns for Legal Judgment
Lu Chen, Yuxuan Huang, Yixing Li, Dongrui Liu, Qihan Ren, ShuaiZhao, Kun Kuang, Zilong Zheng, Quanshi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Can LLMs Refuse Questions They Do Not Know? Measuring Knowledge-Aware Refusal in Factual Tasks
Wenbo Pan, Jie Xu, Qiguang Chen, Junhao Dong, Libo Qin, Xinfeng Li, Yu Haining, Xiaohua Jia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Can Language Models Discover Scaling Laws?
Haowei Lin, Haotian Ye, Wenzheng Feng, Quzhe Huang, Yujun Li, Hubert Lim, Zhengrui Li, Xiangyu Wang, Jianzhu Ma, Yitao Liang, James Y Zou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Can Large Language Models Match the Conclusions of Systematic Reviews?
Christopher Polzak, Alejandro Lozano, Min Sun, James Burgess, Yuhui Zhang, Kevin Wu, Chia-Chun Chiang, Jeffrey J. Nirschl, Serena Yeung
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Can SAEs reveal and mitigate racial biases of LLMs in healthcare?
Hiba Ahsan, Byron Wallace
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Can Small Training Runs Reliably Guide Data Curation? Rethinking Proxy-Model Practice
Jiachen (Tianhao) Wang, Tong Wu, Kaifeng Lyu, James Y Zou, Dawn Song, Ruoxi Jia, Prateek Mittal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Can Speech LLMs Think while Listening?
Yi-Jen Shih, Desh Raj, Chunyang Wu, Wei Zhou, SK Bong, Yashesh Gaur, Jay Mahadeokar, Ozlem Kalinli, Mike Seltzer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks
Damien Teney, Liangze Jiang, Hemanth Saratchandran, Simon Lucey
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Can Vision-Language Models Answer Face to Face Questions in the Real-World?
Reza Pourreza, Rishit Dagli, Apratim Bhattacharyya, Sunny Panchal, Guillaume Berger, Roland Memisevic
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Can Vision–Language Models Assess Graphic Design Aesthetics? A Benchmark, Evaluation, and Dataset Perspective.
Ruichuan An, Shizhao Sun, Danqing Huang, Mingxi Cheng, Yan Gao, Ji Li, YU QIAO, Jiang Bian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Can You Hear Me Now? A Benchmark for Long-Range Graph Propagation
Luca Miglior, Matteo Tolloso, Alessio Gravina, Davide Bacciu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Can we generate portable representations for clinical time series data using LLMs?
Zongliang Ji, Yifei Sun, Andre Amaral, Anna Goldenberg, Rahul G. Krishnan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cancer-Myth: Evaluating Large Language Models on Patient Questions with False Presuppositions
Wang Zhu, Tian-qi Chen, Xinyan Yu, Ching Lin, Jade Law, Mazen Jizzini, Jorge Nieva, Ruishan Liu, Robin Jia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Cannistraci-Hebb Training on Ultra-Sparse Spiking Neural Networks
Yuan Hua, Jilin Zhang, Yingtao Zhang, Leyi You, Baobo Xiong, Carlo Vittorio Cannistraci, Hong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Canonical Tree Cover Neural Networks for Expressive and Invariant Graph Learning
Michael Ito, Danai Koutra, Jenna Wiens
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning
Long Xing, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Jianze Liang, Qidong Huang, Jiaqi Wang, Feng Wu, Dahua Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Capability-Based Scaling Trends for LLM-Based Red-Teaming
Alexander Panfilov, Paul Kassianik, Maksym Andriushchenko, Jonas Geiping
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts
Shwai He, Weilin Cai, Jiayi Huang, Ang Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Captain Cinema: Towards Short Movie Generation
Junfei Xiao, Ceyuan Yang, Lvmin Zhang, Shengqu Cai, Yang Zhao, Yuwei Guo, Gordon Wetzstein, Maneesh Agrawala, Alan Yuille, Lu Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Capturing Visual Environment Structure Correlates with Control Performance
Jiahua Dong, Yunze Man, Pavel Tokmakov, Yu-Xiong Wang
Machine Learning
日本大学: 関与なし（対象大学）