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2022–2026 LIVE

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Machine Learning

2025 · 3,703 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。

2025 · ICLR
Inference Scaling for Long-Context Retrieval Augmented Generation
Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models
Yinlam Chow, Guy Tennenholtz, Izzeddin Gur, Vincent Zhuang, Bo Dai, Aviral Kumar, Rishabh Agarwal, Sridhar Thiagarajan, Craig Boutilier, Aleksandra Faust
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models
Negin Raoof, Litu Rout, Giannis Daras, sujay sanghavi, Constantine Caramanis, Sanjay Shakkottai, Alex Dimakis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Infinite-Resolution Integral Noise Warping for Diffusion Models
Yitong Deng, Winnie Lin, Lingxiao Li, Dmitriy Smirnov, Ryan Burgert, Ning Yu, Vincent Dedun, Mohammad Taghavi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Influence Functions for Scalable Data Attribution in Diffusion Models
Bruno Mlodozeniec, Runa Eschenhagen, Juhan Bae, Alexander Immer, David Krueger, Richard E Turner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Influence-Guided Diffusion for Dataset Distillation
Mingyang Chen, Jiawei Du, Bo Huang, Yi Wang, Xiaobo Zhang, Wei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
InfoGS: Efficient Structure-Aware 3D Gaussians via Lightweight Information Shaping
Yunchao Zhang, Guandao Yang, Leonidas Guibas, Yanchao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Information Theoretic Text-to-Image Alignment
Chao Wang, Giulio Franzese, alessandro finamore, Massimo Gallo, Pietro Michiardi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Injecting Universal Jailbreak Backdoors into LLMs in Minutes
Zhuowei Chen, qiannan zhang, Shichao Pei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Injective flows for star-like manifolds
Marcello Negri, Jonathan Aellen, Volker Roth
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Inner Information Analysis Algorithm for Deep Neural Network based on Community
Guipeng Lan, Shuai Xiao, Meng Xi, Jiabao Wen, Jiachen Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Innovative Thinking, Infinite Humor: Humor Research of Large Language Models through Structured Thought Leaps
Han Wang, Yilin Zhao, Dian Li, Xiaohan Wang, sinbadliu, Xuguang Lan, Hui Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Input Space Mode Connectivity in Deep Neural Networks
Jakub Vrabel, Ori Shem-ur, Yaron Oz, David Krueger
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
Gaurav Sahu, Abhay Puri, Juan A. Rodriguez, Amirhossein Abaskohi, Mohammad Chegini, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vazquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam Laradji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Inspection and Control of Self-Generated-Text Recognition Ability in Llama3-8b-Instruct
Christopher Ackerman, Nina Panickssery
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
InstaRevive: One-Step Image Enhancement via Dynamic Score Matching
Yixuan Zhu, Haolin Wang, Ao Li, Wenliang Zhao, Yansong Tang, Jingxuan Niu, Lei Chen, Jie Zhou, Jiwen Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly
James Enouen, Yan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
InstaTrain: Adaptive Training via Ultra-Fast Natural Annealing within Dynamical Systems
Chuan Liu, Ruibing Song, Chunshu Wu, Pouya Haghi, Tong Geng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Instance-dependent Early Stopping
Suqin Yuan, Runqi Lin, Lei Feng, Bo Han, Tongliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Instant Policy: In-Context Imitation Learning via Graph Diffusion
Vitalis Vosylius, Edward Johns
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
InstantPortrait: One-Step Portrait Editing via Diffusion Multi-Objective Distillation
Zhixin Lai, Keqiang Sun, Fu-Yun Wang, Dhritiman Sagar, Erli Ding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
InstantSplamp: Fast and Generalizable Stenography Framework for Generative Gaussian Splatting
Chenxin Li, Hengyu Liu, Zhiwen Fan, Wuyang Li, Yifan Liu, Panwang Pan, Yixuan Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences
Chenyang Zhu, Kai Li, Yue Ma, Longxiang Tang, Chengyu Fang, Chubin Chen, Qifeng Chen, Xiu Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning
Simran Kaur, Simon Park, Anirudh Goyal, Sanjeev Arora
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
Zhepei Wei, Wei-Lin Chen, Yu Meng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy
Tong Wu, Shujian Zhang, Kaiqiang Song, Silei Xu, Sanqiang Zhao, Ravi Agrawal, Sathish Reddy Indurthi, Chong Xiang, Prateek Mittal, Wenxuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Integral Performance Approximation for Continuous-Time Reinforcement Learning Control
Brent Wallace, Jennie Si
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows
Xiangxin Zhou, Yi Xiao, Haowei Lin, Xinheng He, Jiaqi Guan, Yang Wang, Qiang Liu, Feng Zhou, Liang Wang, Jianzhu Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Integrative Decoding: Improving Factuality via Implicit Self-consistency
Yi Cheng, Xiao Liang, Yeyun Gong, Wen Xiao, Song Wang, Yuji Zhang, Wenjun Hou, Kaishuai Xu, Wenge Liu, Wenjie Li, Jian Jiao, Qi Chen, Peng CHENG, Wayne Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Intelligence at the Edge of Chaos
Shiyang Zhang, Aakash Patel, Syed Rizvi, Nianchen Liu, Sizhuang He, Amin Karbasi, Emanuele Zappala, David van Dijk
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
Cong Lu, Shengran Hu, Jeff Clune
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention
Weitai Kang, Mengxue Qu, Jyoti Kini, Yunchao Wei, Mubarak Shah, Yan Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
InterMask: 3D Human Interaction Generation via Collaborative Masked Modeling
Muhammad Gohar Javed, chuan guo, Li Cheng, Xingyu Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Interaction Asymmetry: A General Principle for Learning Composable Abstractions
Jack Brady, Julius von Kügelgen, Sebastien Lachapelle, Simon Buchholz, Thomas Kipf, Wieland Brendel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Interactive Adjustment for Human Trajectory Prediction with Individual Feedback
Jianhua Sun, Yuxuan Li, Liang Chai, Cewu Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface
Wenyue Hua, Mengting Wan, JAGANNATH VADREVU, Ryan Nadel, Yongfeng Zhang, Chi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Interference Among First-Price Pacing Equilibria: A Bias and Variance Analysis
Luofeng Liao, Christian Kroer, Sergei Leonenkov, Okke Schrijvers, Liang Shi, Nicolas Stier-Moses, Congshan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment
Dongping Chen, Ruoxi Chen, Shu Pu, Zhaoyi Liu, Yanru Wu, Caixi Chen, Benlin Liu, Yue Huang, Yao Wan, Pan Zhou, Ranjay Krishna
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Intermediate Layer Classifiers for OOD generalization
Arnas Uselis, Seong Joon Oh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence
Weize Chen, Ziming You, Ran Li, yitong guan, Chen Qian, Chenyang Zhao, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks
Lehan Wang, Haonan Wang, Honglong Yang, Jiaji Mao, Zehong Yang, Jun Shen, Xiaomeng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Interpretable Causal Representation Learning for Biological Data in the Pathway Space
Jesus de la Fuente Cedeño, Robert Lehmann, Carlos Ruiz-Arenas, Jan Voges, Irene Marín-Goñi, Xabier Martinez de Morentin, David Gomez-Cabrero, Idoia Ochoa, Jesper Tegnér, Vincenzo Lagani, Mikel Hernaez
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Interpretable Unsupervised Joint Denoising and Enhancement for Real-World low-light Scenarios
Li Huaqiu, HuXiaowan, Haoqian Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology
Pei Liu, Luping Ji, Jiaxiang Gou, Bo Fu, Mao Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Interpreting Emergent Planning in Model-Free Reinforcement Learning
Thomas Bush, Stephen Chung, Usman Anwar, Adrià Garriga-Alonso, David Krueger
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Interpreting Language Reward Models via Contrastive Explanations
Junqi Jiang, Tom Bewley, Saumitra Mishra, Freddy Lecue, Manuela Veloso
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations
Nick Jiang, Anish Kachinthaya, Suzanne Petryk, Yossi Gandelsman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Interpreting the Second-Order Effects of Neurons in CLIP
Yossi Gandelsman, Alexei Efros, Jacob Steinhardt
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
Vindula Jayawardana, Baptiste Freydt, Ao Qu, Cameron Hickert, Zhongxia Yan, Cathy Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Intervening Anchor Token: Decoding Strategy in Alleviating Hallucinations for MLLMs
Barrett Tang, Zile Huang, Chengzhi Liu, Qiang Sun, Harry Yang, Ser-Nam Lim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations
Lorenzo Basile, Santiago Acevedo, Luca Bortolussi, Fabio Anselmi, Alex Rodriguez
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Intrinsic User-Centric Interpretability through Global Mixture of Experts
Vinitra Swamy, Syrielle Montariol, Julian Blackwell, Jibril Frej, Martin Jaggi, Tanja Käser
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Inverse Attention Agents for Multi-Agent Systems
Qian Long, Ruoyan Li, Minglu Zhao, Tao Gao, Demetri Terzopoulos
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Inverse Constitutional AI: Compressing Preferences into Principles
Arduin Findeis, Timo Kaufmann, Eyke Hüllermeier, Samuel Albanie, Robert Mullins
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Inverse Rendering using Multi-Bounce Path Tracing and Reservoir Sampling
Yuxin Dai, Qi Wang, Jingsen Zhu, xi db, Yuchi Huo, Chen Qian, Ying He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Inverse decision-making using neural amortized Bayesian actors
Dominik Straub, Tobias Fabian Niehues, Jan Peters, Constantin Rothkopf
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences
Hongkai Zheng, Wenda Chu, Bingliang Zhang, Zihui Wu, Austin Wang, Berthy Feng, Caifeng Zou, Yu Sun, Nikola Kovachki, Zachary Ross, Katherine Bouman, Yisong Yue
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization
Yifan Niu, Ziqi Gao, Tingyang Xu, Yang Liu, Yatao Bian, Yu Rong, Junzhou Huang, Jia Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma
Xiaoxuan Hou, Jiayi Yuan, Joel Z Leibo, Natasha Jaques
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Investigating Pattern Neurons in Urban Time Series Forecasting
Chengxin Wang, Yiran Zhao, shaofeng cai, Gary Tan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning
Xiaolei Wang, Xinyu Tang, Junyi Li, Xin Zhao, Ji-Rong Wen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness
Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Junfeng Fang, Hongcheng Gao, Shiyu Ni, Xueqi Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Is In-Context Learning Sufficient for Instruction Following in LLMs?
Hao Zhao, Maksym Andriushchenko, francesco croce, Nicolas Flammarion
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Is Large-scale Pretraining the Secret to Good Domain Generalization?
Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Bryan Plummer, Kate Saenko
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist
Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang, Derek Wong, Xiaowei Huang, Qiufeng Wang, Kaizhu Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Is Your Multimodal Language Model Oversensitive to Safe Queries?
Xirui Li, Hengguang Zhou, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Cho-Jui Hsieh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Is Your Video Language Model a Reliable Judge?
Ming Liu, Wensheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Is uniform expressivity too restrictive? Towards efficient expressivity of GNNs
Sammy Khalife, Josué Tonelli-Cueto
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Isometric Regularization for Manifolds of Functional Data
Hyeongjun Heo, Seonghun Oh, JaeYong Lee, Young Min Kim, Yonghyeon Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation
Sohan Patnaik, Milan Aggarwal, Sumit Bhatia, Balaji Krishnamurthy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
Xinchen Zhang, Ling Yang, Guohao Li, YaQi Cai, xie jiake, Yong Tang, Yujiu Yang, Mengdi Wang, Bin CUI
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking
Shubham Dipak Ugare, Rohan Gumaste, Tarun Suresh, Gagandeep Singh, Sasa Misailovic
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision
Yaowen Ye, Cassidy Laidlaw, Jacob Steinhardt
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
Yuheng Zhang, Dian Yu, Baolin Peng, Linfeng Song, Ye Tian, Mingyue Huo, Nan Jiang, Haitao Mi, Dong Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck
Shuai Zhang, Junfeng Fang, Xuqiang Li, Hongxin Xiang, Jun Xia, Ye Wei, Wenjie Du, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
JPEG Inspired Deep Learning
Ahmed Hussien Salamah, Kaixiang Zheng, Yiwen Liu, EN-HUI YANG
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models
Guobin Shen, Dongcheng Zhao, Yiting Dong, Xiang He, Yi Zeng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks
Maksym Andriushchenko, francesco croce, Nicolas Flammarion
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Jailbreaking as a Reward Misspecification Problem
Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu, Lingpeng Kong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Jamba: Hybrid Transformer-Mamba Language Models
Barak Lenz, Opher Lieber, Alan Arazi, Amir Bergman, Avshalom Manevich, Barak Peleg, Ben Aviram, Chen Almagor, Clara Fridman, Dan Padnos, Daniel Gissin, Daniel Jannai, Dor Muhlgay, Dor Zimberg, Edden Gerber, Elad Dolev, Eran Krakovsky, Erez Sa, Erez Schwartz, Gal Cohen, Gal Shachaf, Haim Rozenblum, Hofit Bata, Ido Blass, Inbal Magar, Itay Dalmedigos, Jhonathan Osin, Julie Fadlon, Maria Rozman, Matan Danos, Michael Gokhman, Mor Zusman, Naama Gidron, Nir Ratner, Noam Gat, Noam Rozen, Oded Fried, Ohad Leshno, Omer Antverg, Omri Abend, Or Dagan, Orit Cohavi, Raz Alon, Ro'i Belson, Roi Cohen, Rom Gilad, Roman Glozman, Shahar Lev, Shai Shalev-Shwartz, Shaked Meirom, Tal Delbari, Tal Ness, Tomer Asida, Tom Ben Gal, Tom Braude, Uriya Pumerantz, Joshua Cohen, Yonatan Belinkov, Yuval Globerson, Yuval Levy, Yoav Shoham
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
JetFormer: An autoregressive generative model of raw images and text
Michael Tschannen, André Susano Pinto, Alexander Kolesnikov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Joint Fine-tuning and Conversion of Pretrained Speech and Language Models towards Linear Complexity
Mutian He, Philip N. Garner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Joint Gradient Balancing for Data Ordering in Finite-Sum Multi-Objective Optimization
Hansi Yang, James Kwok
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Jonas Linkerhägner, Cheng Shi, Ivan Dokmanić
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment
Chenliang Li, Siliang Zeng, Zeyi Liao, Jiaxiang Li, Dongyeop Kang, Alfredo Garcia, Mingyi Hong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment
Gregor Bachmann, Sotiris Anagnostidis, Albert Pumarola, Markos Georgopoulos, Artsiom Sanakoyeu, Yuming Du, Edgar Schoenfeld, Ali Thabet, Jonas Kohler
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
JudgeBench: A Benchmark for Evaluating LLM-Based Judges
Sijun Tan, Siyuan Zhuang, Kyle Montgomery, William Tang, Alejandro Cuadron, Chenguang Wang, Raluca Popa, Ion Stoica
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Lianghui Zhu, Xinggang Wang, Xinlong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models
Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Yuki Mitsufuji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh Chawla, Xiangliang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
K-HALU: Multiple Answer Korean Hallucination Benchmark for Large Language Models
Jaehyung Seo, Heuiseok Lim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
Taoran Fang, Tianhong Gao, Chunping Wang, YihaoShang, Wei Chow, Lei CHEN, Yang Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
KAN: Kolmogorov–Arnold Networks
Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Soljacic, Thomas Hou, Max Tegmark
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
KBLaM: Knowledge Base augmented Language Model
Xi Wang, Taketomo Isazawa, Liana Mikaelyan, James Hensman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA
Xiaorui Su, Yibo Wang, Shanghua Gao, Xiaolong Liu, Valentina Giunchiglia, Djork-Arné Clevert, Marinka Zitnik
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
KLay: Accelerating Arithmetic Circuits for Neurosymbolic AI
Jaron Maene, Vincent Derkinderen, Pedro Zuidberg Dos Martires
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks
Kaijing Ma, Xeron Du, Yunran Wang, Haoran Zhang, Zhoufutu Wen, Xingwei Qu, Jian Yang, JIAHENG LIU, Minghao Liu, Xiang Yue, Wenhao Huang, Ge Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
Fan Wang, Juyong Jiang, Chansung Park, Sunghun Kim, Jing Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Kernel-based Optimally Weighted Conformal Time-Series Prediction
Jonghyeok Lee, Chen Xu, Yao Xie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Models
Eunice Yiu, Maan Qraitem, Anisa Majhi, Charlie Wong, Yutong Bai, Shiry Ginosar, Alison Gopnik, Kate Saenko
Machine Learning
日本大学: 関与なし（対象大学）