| 1 | An ODE-based Sampler for Discrete Diffusion Models | Samson Gourevitch, Yazid Janati, Eric Moulines +3 | cs.LG | 2026-10-29 |
| 2 | Every Token Needs Its Own Teacher: Multi-teacher Adaptive On-policy Self-distillation | Yifu Luo, Chuang Ma, Zeyu Chen +3 | cs.CL | 2026-10-29 |
| 3 | LucidLyra: Feed-Forward Generative 3D Scene Reconstruction and Joint Understanding via Multi-Task Distillation | Oliver Hahn, Rodrigo Marcuzzi, Sangeetha Grama Srinivasan +7 | cs.CV | 2026-10-29 |
| #4 | Soil Moisture Estimation in Precision Agriculture: A Knowledge Distillation Approach | Mohammed Rakib, Vrinda Nagula, Arunkumar Bagavathi | cs.CV | 2026-10-29 |
| #5 | Latent Path Exploration via Potential-Guided Subtrajectory Balance | Xiaoling Zeng, Qi Zhang | cs.CL | 2026-10-29 |
| #6 | SelfThinker: Self-Evolving Reasoning via Reliability-Verified Intrinsic Visual Thoughts | Zhangquan Chen, Ruqi Huang | cs.CV | 2026-10-29 |
| #7 | DINOv2 for PET: A Pre-Training Domain Benchmark Across Classification, Segmentation, and Prognosis | Roxanne De Maeyer, Yannick Brackenier, Vicky De Ridder +3 | cs.CV | 2026-10-29 |
| #8 | sDMD: Sinkhorn Distribution Matching Distillation | Jaihoon Kim, Lingxiao Li, Soshi Shimada +3 | cs.CV | 2026-10-29 |
| #9 | Turing LLM Post-Training: Calibrated Distillation and Efficient Dynamic-MoE Execution | Yue He, Jiahui Hu, Shaman Tang +19 | cs.LG | 2026-10-29 |
| #10 | Intrinsic Distribution Matching | Deyuan Liu, Yansen Han, Kaiwen Zheng +7 | cs.CV | 2026-10-29 |
| #11 | ROAD: Modern Adversarial Training for Simple One-Step Distillation at Scale | Xiaoou Li, Shan You, Tao Huang | cs.CV | 2026-10-29 |
| #12 | Distilling Large-Scale Machine Learning Interatomic Potentials to Predict Long-Timescale Electrolyte Transport Properties | Ishan Amin, Yue Jian, Nitesh Kumar +10 | physics.chem-ph | 2026-10-29 |
| #13 | YOLOF-MLD: A Multi-Level Distillation Framework for Efficient Object Detection | Xiaolong Wu, Liming Zheng, Zitong Liu +1 | cs.CV | 2026-10-29 |
| #14 | Youtu-Parsing-Omni: One Encoder, One Schema, All Modalities | Yunhang Shen, Zhangquan Chen, Xiaotian Li +27 | cs.CV | 2026-10-29 |
| #15 | Efficient Covariance-Aware Vicinal Latent Diffusion for Continuous Conditional Image Generation | Xin Ding, Shuo Huang, Zhenglong Ding +5 | cs.CV | 2026-10-29 |
| #16 | XLaw-JP-27B: A Lightweight Open Model Specialized for Japanese Law | Andrew Shin | cs.CL | 2026-10-29 |
| #17 | Distilling the Shape of Uncertainty: What On-Policy Distillation Learns and How to Predict It | Shiping Yang, Chuanqi Tang, Hossein Hajimirsadeghi +3 | cs.CL | 2026-10-28 |
| #18 | Structural-Test Geometry as an Inductive Bias for Partially Observable World Models | Todd Y. Zhou | cs.LG | 2026-10-28 |
| #19 | Adversarial Self-Distillation | Mohammad Sadegh Akhondzadeh, Soroush H. Zargarbashi, Aleksandar Bojchevski | cs.LG | 2026-10-28 |
| #20 | Weaken to Strengthen: Weakening-Induced On-Policy Self-Distillation for Large Reasoning Models | Yecheng Wu, Song Han, Han Cai | cs.AI | 2026-10-28 |
| #21 | Information-Theoretic Reliability--Safety Bounds and Finite-Alignment Dynamics in AI Knowledge Distillation | Miao-Miao Yi, Zhen-Yu Cai, Y -M. Du +1 | cond-mat.stat-mech | 2026-10-28 |
| #22 | On-Policy Self-Distillation with Teacher Evolution | Shufan Shen, Zhongni Hou, Chao Bi +3 | cs.LG | 2026-10-28 |
| #23 | Co-Evolving Policy and Rubric via Capability Awareness for Open-Ended Generation | Chengsheng Zhang, Wenshen Xu, Yuchuan Wu +6 | cs.AI | 2026-10-28 |
| #24 | Persona Learning from Feedback for Personalized AI Assistants | Yiran Shen, Yu Xia, Liuyi Yao +1 | cs.LG | 2026-10-28 |
| #25 | CoSTA: Co-Evolving Self-Play Timeline Agents for Complex Temporal Knowledge Graph Question Answering | Haikun Liu, Zhichao Yan, Shaoru Guo +4 | cs.CL | 2026-10-28 |
| #26 | SCOPE: Selective Critical-Step On-Policy Self-Distillation for Agentic Reinforcement Learning | Qirui Liu, Wei Cao, Yu Mi +5 | cs.AI | 2026-10-28 |
| #27 | How Much Do Teacher Bridges Matter in Interleaved On-Policy Distillation? | Leran Chen, Zhiyuan Yao, Lingnan Kong | cs.LG | 2026-10-28 |
| #28 | Knowledge-structured and evidence-aware semantic self-distillation for glomerular pathology foundation model | Qiming He, Jing Li, Zihan Wang +24 | cs.CV | 2026-10-28 |
| #29 | Multi-Token Prediction Done Right | Jayden Teoh | cs.LG | 2026-10-28 |
| #30 | ATI-OPD: Adaptive Teacher Intervention for Stable Long-Sequence On-Policy Distillation | Jiannan Guan, Youxin Jiang, Yutai Hou +9 | cs.CL | 2026-10-28 |
| #31 | MASS: Multi-mask Selective Self-Distillation for Leakage-Resilient Reasoning | Xiuqi Liu, Oveys Delafrooz Noroozi, Upamanyu Madhow | cs.LG | 2026-10-28 |
| #32 | Nemotron 3.5 Super and Lightning: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Models for Agentic AI | NVIDIA, :, Aastha Jhunjhunwala +556 | cs.CL | 2026-10-28 |
| #33 | What Can Firms Do in the Face of Model Distillation? | Diptangshu Sen, Jibang Wu, Juba Ziani | cs.GT | 2026-10-28 |
| #34 | Preserving Safety During Sequential Fine-Tuning: A Factorial and Geometric Analysis of Replay | George Ruellan, Diana Benavides-Prado | cs.LG | 2026-10-27 |
| #35 | You Don't Need Aligned Representations: Knowledge Distillation via Random Prototype Spaces | Hamza Etcibasi, Ramazan Gokberk Cinbis | cs.CV | 2026-10-27 |
| #36 | SkillMem: Compact External Skill Memory for Latent Multi-Agent Reasoning | Yuxuan Zhu, Mohammad Mohammadi Amiri, Pin-Yu Chen +1 | cs.AI | 2026-10-27 |
| #37 | Echo: Scaling Visual Reinforcement Learning with Off-policy Experience | Gagan Khandate | cs.RO | 2026-10-27 |
| #38 | Depth through Recurrence: Towards Ultra-Efficient On-Device ASR | Chen Feng, Tianyi Xu, Ramchalam Kinattinkara Ramakrishnan +5 | cs.LG | 2026-10-27 |
| #39 | Multi-Draft On-Policy Distillation for Diffusion Drafters | Petr Molodyk, Yuchen Zhu, Jaemoo Choi +2 | cs.CL | 2026-10-27 |
| #40 | REGER: Modeling inter-item Relations with Semantic IDs for Generative Recommendation | Yuxi Huang, Silin Zhou, Chenhao Wang +5 | cs.IR | 2026-10-27 |
| #41 | ALADDIN: Adversarial Latent Diffusion Distillation for One-Step Identity Swapping | Ivan Shchekotov, Timofei Gritsaev, Viacheslav Pirogov +1 | cs.CV | 2026-10-27 |
| #42 | RPSD: Retrieval-Privileged On-Policy Self-Distillation with Optimal Transport | Dongyue Li, Zebang Cheng, Zhongyi Deng +3 | cs.AI | 2026-10-27 |
| #43 | Watermark Basins: Black-Box Detection of Distilled LLMs | Hongyan Chang, Hady Elsahar, Tom Sander +10 | cs.CR | 2026-10-27 |
| #44 | Uncovering Shortcut Amplification in Video RLVR through the Lens of Perceptual Uncertainty Collapse | Jiafeng Liang, Xianhao Ou, Tao Ren +6 | cs.CV | 2026-10-27 |
| #45 | What Survives Distillation? A Mechanistic Interpretability Study of GPT-2 and DistilGPT-2 | Nabeelah Faumi, Deshan Sumanathilaka | cs.CL | 2026-10-27 |
| #46 | Variational Optimal Control for Diffusion Guidance | Ruoyu Wang, Xinyi Ye, Yunshuo Shi +3 | cs.LG | 2026-10-27 |
| #47 | Self-Regularized Flow Language Models | Theodoros Kouzelis, Spyros Gidaris, Nikos Komodakis | cs.LG | 2026-10-27 |
| #48 | A First-Step Bias Restores Lost Diversity in Diffusion Model Distillation | Wenwu Tang, Dong Wang, Yun Cheng +1 | cs.CV | 2026-10-27 |
| #49 | Ground-to-Satellite Knowledge Distillation for Crop Classification under Temporal and Geographic Shift | Miro Miranda, Rocco Sedona, Valerio Marsocci +2 | cs.CV | 2026-10-27 |
| #50 | Live-OPSD: On-Policy Self-Distillation for Proactive Streaming Large Video Models | Kaixuan Du, Xin Wan, Dai Guan +3 | cs.LG | 2026-10-27 |