Deep Learning Monitor - Find new Arxiv papers, tweets and Reddit posts for you

Jiahua Dong, Anurag Bagchi, Yash Jangir, Muhammad Zubair Irshad, Sergey Zakharov, Martial Hebert, Homanga Bharadhwaj, Yu-Xiong Wang, Vitor Campagnolo Guizilini, Pavel Tokmakov

2026-10-08

From Reactive Containment to Proactive Assurance: Lessons from OpenAI, Anthropic, and Google Agent Security Incidents

Abbas Raftari

2026-10-08

OuroWorld: Bringing Any 3D World Alive as Diverse, Endlessly Looping 3D Cinemagraphs

You-Zhe Xie, Ting-Wei Chou, Yu-Hsuan Li, Kaipeng Zhang, Zhixiang Wang, Yu-Lun Liu

2026-10-08

WorldGuide: Goal-Directed Video World Model for Procedural Task Execution

Ankan Deria, Komal Kumar, Hisham Cholakkal, Fahad Shahbaz Khan, Salman Khan

2026-10-08

OmniCapBench: A Deep-Structured Evaluation Framework for Fine-Grained Audio-Visual Captioning

Zhongyu Yang, Jiale Tao, Ruitao Chen, Zuhao Yang, Yingfang Yuan, Xueliang Zhao, Auden, Kai Wang, Shuai Shao, Biao Wang, Steve Yves, Qinglin Lu

2026-10-08

Hybrid Cinematography: Previsualizing and Managing Hallucination Risk in Generative Video Reshooting

Nhan, Tran, Neal Wadhwa, Abe Davis, Stefan Stojanov

2026-10-08

BrickBench: Evaluating Agentic Brick Design

Peter Kulits, Yiqing Xu, R. Kenny Jones, Cordelia Schmid, Jiajun Wu

2026-10-08

VersaCamVLA: Camera-Configurable VLA Policies for Robotic Manipulation

Boyao Han, Chen Shi, Jingjing Qian, ZhuoTan Tian, Li Jiang

2026-10-08

Bi-FORK: Generative Modeling of High-Dimensional Bifurcating Systems

Anna Zimmel, Fleur Hendriks, Markus Holzleitner, Florian Sestak, Martin Weichselbaumer, Vlado Menkovski, Johannes Brandstetter

2026-10-08

One Block, Multiple Depths: Recurrent Vision Transformers with Depth-Programmed Experts

Adrian Bulat, Yassine Ouali, Georgios Tzimiropoulos

2026-10-08

Caught in the Act: Probes Effectively Detect Sabotage and Catch Unverbalized Deception

Oskar J. Hollinsworth, Alex F. Spies, Tigist Diriba, Adam Gleave, Chris Cundy

2026-10-08

Rounding in Preconditioner Space: Redesigning 4-bit AdamW Optimizer-State Quantization

Hanyang Li, Shao Tang, Daniel Thomas Braithwaite, Gregory Dexter, Leonardo Neves, Aman Gupta, Hiroto Udagawa, Abhishek Shivanna, Daniel Silva, Rohan Ramanath

2026-10-08

LEGO: A Lifting-Free Approach for Exocentric-to-Egocentric Video Generation

Suhwan Cho, Yonwoo Choi, Soongjin Kim, Jicheol Park, Taegyu Lim

2026-10-08

FA-Bench: A Benchmark for Phone- and Word-Level Timestamp Accuracy in Forced Alignment and ASR on Clean and Noisy Speech

Wei Chu, Yuanzhe Dong, Ke Tan, Dong Han, Yichao Zhou, Ruchao Fan, Bingshen Mu, Jingbei Li, Vishwas Shetty, Sarthak Bisht, Ziyue Qiu, Massa Baali, Rita Singh, Bhisha Raj

2026-10-08

Density Ratio Estimation with Stein Displacement Fields

Song Liu

2026-10-08

Ecology of AI Agents: Collaboration Creates a Population Threshold for Takeoff

Erin Crawley, Hidenori Tanaka

2026-10-08

MA-JEPA: Joint-Embedding World Models for Multi-Agent Reinforcement Learning

Brandon Gary Kaplowitz, Osaze James Obahor, Christian Schroeder de Witt

2026-10-08

VioLA: Learning Generalist Humanoid Control Policies from Human Data

Mert Albaba, Jens Beißwenger, Anna Manasyan, Daniel Marta, Michael J. Black, Wieland Brendel, Andreas Krause, Georg Martius, Martin Riedmiller

2026-10-08

FAITH: Feasibility-Aware Safety-Filtered RL for High-Dimensional Systems

Songyuan Zhang, Baljeet Singh, Sarthak Ranjeet Kaingade, Chuchu Fan, Bryan Trinh

2026-10-08

Learning Projection-Aware 360-Degree Image Rectification via Dual-Projection Fusion

Yuhao Shan, Qianyi Yuan, Jingguo Liu, Shigang Li, Jianfeng Li, Tong Chen

2026-10-08

Toward Joint Optimization of Circuit Depth and Training Data Size in Adaptively Grown Quantum Classifiers

Saeefa Rubaiyet Nowmi, Md Mahmuduzzaman Kamol, Mohammad Saidur Rahman

2026-10-08

FastBench: Can Streaming VLMs Perceive High-Dynamic Real-World Streams?

Yuxuan Hu, Weikang Shi, Yang Bo, Xudong Lu, Xintong Guo, Shuhan Li, Yuyang He, Huankang Guan, Peiwen Sun, Yunqiao Yang, Wenbo Li, Rui Liu, Hongsheng Li

2026-10-08

RoboRSI: Stable, efficient, and reusable robot self-evolution in complex real-world environments

Zimo Wen, Yijin Chen, Yuxuan Cao, Wendi Chen, Yanwen Zou, Wenye Yu, Fuhang Kuang, Han Xue, Jun Lv, Chuan Wen, Cewu Lu

2026-10-08

Pumpire: Unified Benchmark for Metric Distance Estimation

Siyu Chen, Zehan Wang, Jiayang Xu, Yihan Wu, Jialei Wang, Junming Chen, Ziang Zhang, Yutong Ying, Zhou Zhao

2026-10-08

reinforcement learning

Capability Self-Assessment in Large Language Models

Haoyan Yang, Reza Shirkavand, Yukai Jin, Jiawei Zhou, Shangqian Gao, Heng Huang

2026-09-26

Retimed Bellman Flows: Escaping the Impossible Triangle of Velocity Bootstrapping

Boyang Xu, Shengzhe Chen, Hao Yan

2026-09-26

StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling

Jiajun Li, Yu Ding, Shisi Guan, Ran Hou, Wanyuan Wang

2026-09-26

Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning

Donglin Zhan, Leonardo F. Toso, James Anderson

2026-09-26

Improving LLM Collaboration via Multi-Agent Preference Learning

Shuo Liu, Xinzichen Li, Tianle Chen, Christopher Amato

2026-09-26

PARSER: Read in Parallel, Reason in Depth for Long-Context LLM Agents

Kun Li, Zexuan Qiu, Tianhua Zhang, Irwin King, Helen Meng

2026-09-26

OpenTumorBoard: A Real-World Benchmark of Multidisciplinary Tumor Board Discussion Trajectories

Anqi Li, Zhixuan Ge, Yixuan Duan, Jiarong Qian, Chi-Yu Chen, MingYu Lu, Huan-Yu Hsu, Yu Gu, Yue Guo, Sheng Wang, Wei Qiu, Hanwen Xu

2026-09-26

Understanding and Exploiting Anisotropy in Post-Training

Samyak Jha, Harshvardhan Saini, Yizhen Liao, Yiming Tang, Dianbo Liu

2026-09-26

$T^5$: Twin-Critic Training for Token-Level Thoughts in Reinforcement Mid-Training

Nan Qiao, Yebin Yang, Weinong Wang, Shuning Wang, Shangpin Peng, Fengyuan Lu, Xinming Wang, Zhehan Kan, Ruixu Zhang, Songyang Zhang, Sheng Yue, Yonglong Tian, Ju Ren

2026-09-26

Getting Motif-ated: Controllable AI Compositions from Injected Motif Prompts

Chao Peter Yang, Cynthia Rudin, Yue Jiang, Simon Mak, Stephen Ni-Hahn

2026-09-26

CT-OPD: Counterfactual Trace On-Policy Distillation for Diffusion Vision-Language Models

Long Qian, Bingke Zhu, Jiaqi Wei, Yu Li, Yingying Chen, Jinqiao Wang

2026-09-26

A Continuous-Time Reinforcement Learning Framework for Fine-Tuning Discrete Diffusion Models

Zikun Zhang, Jiayuan Sheng, David D. Yao, Wenpin Tang

2026-09-26

CUA-Sandbox: Efficient Environments for Computer-Use Agent Reinforcement Learning

Xin Yan, Zhengbo Jiao, Jiaqi Liu, Zhenglin Wan, SiYuan Ma, Xuliang Yu, Tianyi Jiang, Chubin Zhang, Pengfei Zhou, Wangbo Zhao, Xingrui Yu, Bo An, Yang You, Ivor Tsang

2026-09-26

Retrospective Distillation Attribution via Normalized Response Similarity

Minwoo Jang, Jaechang Kim, Minhyeon Oh, Jeongyeon Hwang, Jungseul Ok

2026-09-26

Distributionally Robust Average-Reward Reinforcement Learning: Finite-Sample Guarantees under Weak Communication

Chenyu Lu, Zijun Chen, Nian Si

2026-09-26

Scaling Properties of Same-Family On-Policy Distillation

Yuntai Bao, Qinfeng Li, Guoqing Jiang, Liwei Chen, Zhiheng Qin, Xuanping Li, Wenqi Zhang, Xuhong Zhang

2026-09-26

LOD: Latent Objective Discovery in Heterogeneous Multi-Agent Reinforcement Learning

Ke Sun, Zhaoyang Shi

2026-09-26

Expected Reasoning-Step Return Unifies On-Policy Learning from Rewards and Teachers

Qiangqiang He, Jin Li

2026-09-26

Timestep Weighting: A Hidden Key to Effective ELBO-Based Flow-Matching RL

Qinwei Ma, Jingzhe Shi, Simin Fan, Ling Li, Mengdi Wang, Alex Lamb

2026-09-26

In Their Own Words: Reasoning Traces Tailored for Small Models Make Them Better Reasoners

Jaehoon Kim, Kwangwook Seo, Dongha Lee

2026-09-26

SWE-MILE: Asynchronous Potential-Induced Milestone Credit Assignment for Long-Horizon Software Engineering Agents

Chaoqun Cui, Hao Zhou, Meiqi Chen, Fandong Meng, Wenji Mao

2026-09-26

VA-Judger: Reward Modeling from Human Preference Feedback for Joint Video-Audio Generation

Yinming Huang, Shuyuan Tu, Xi Yan, Zihan Yang, Jianhua Han, Hang Xu, Kaihang Pan, Yu-Gang Jiang, Zuxuan Wu

2026-09-26

Groupwise Agentic Grading and Advantage Redistribution for Code Agent RL

Jinhao Dong, Liang Zhao, Zihao Yue, Wenhan Ma, Linghao Zhang, Lei Li, Shicheng Li, Yifan Song, Bowen Ye, Fuli Luo

2026-09-26

SeekJudge: A Practical Reward Framework for Reinforcement Learning in Computer-Use Agents

Yang Wan, Zhenhao Zhang, Jierui Wang, Xiangxin Zhou, Linchao Zhu

2026-09-26

What Does a ProcGen Generalization Gap Measure? Action Rules, Convergence, and the Missing Random Floor

Abhisek Keshari

2026-09-26

Simulating Eutopia: Revisiting Long-term Fairness with Outcomes, Performativity, and Dynamics

Vedant Palit, Udvas Das, Brahim Driss, Debabrota Basu

2026-09-26

SPIDER: Scalable Physics-Informed Dexterous Retargeting

Chaoyi Pan, Changhao Wang, Haozhi Qi, Julen Urain, Zixi Liu, Homanga Bharadhwaj, Akash Sharma, Tingfan Wu, Guanya Shi, Jitendra Malik, Francois Hogan

2026-09-26

From Outcomes to Strategies: Learning Strategy Utility for Mathematical Reasoning

Ruikang Zhang, Xiao An, Xuli Shen, Jiaxing Sun, Xiaoyi Yu, Jin Zeng, Jiang Wu, Tong Lin

2026-09-26

RefineFly: Failure-Aware Post-Training for Aerial Vision-Language Navigation

Boxiong Wang, Hui Kang, Geng Sun, Jiahui Li, Chao Yu, Daxin Tian

2026-09-26

Uncertainty-Aware Selection of Online Algorithms with Simulator Ensembles

Yongyi Guo, Zifan Xu, Ziping Xu, Kelly W. Zhang

2026-09-26

language

BabelFake: A Multilingual Audio-Visual DeepFake Benchmark

Carlotta Segna, Joel Tschesche, Anna Rohrbach

2026-10-08

BabelFake: A Multilingual Audio-Visual DeepFake Benchmark

Carlotta Segna, Joel Tschesche, Anna Rohrbach

2026-10-05

Think Multilingual, Not Harder: A Framework for Analyzing and Teaching Code-Switched Reasoning

Eleanor M. Lin, David Jurgens

2026-10-03

Think Multilingual, Not Harder: A Data-Efficient Framework for Teaching Reasoning Models to Code-Switch

Eleanor M. Lin, David Jurgens

2026-09-28

Bridging Generative and Discriminative Noisy-Label Learning via Direction-Agnostic EM Formulation

Fengbei Liu, Chong Wang, Yuanhong Chen, Yuyuan Liu, Gustavo Carneiro

2026-09-26

Routing Drift Alone Does Not Diagnose Failure in Merged MoE LLMs

Yuanyi Wang, Yanggan Gu, Su Lu, Guanghao Zhu, Pengkai Wang, Yifan Yang, Congkai Xie, Zhaoyi Yan, Jianmin Wu, Hongxia Yang

2026-09-26

Transfer Learning for Edge Classification on Dynamic Text-Attributed Graphs

Tyler Bonnet, Marek Rei

2026-09-26

Right Answer, Wrong Reason: Accuracy, Consistency, and Consensus Are Misleading Indicators of LLM Faithfulness in Clinical Decision Support

Bharath Kumar Bolla, Bharath Kumar Bolla, Vishnu Surya Reddy Nandi

2026-09-26

EveryQuery: A Promptable Foundation Model for Clinical Prediction Tasks over Electronic Health Records

Payal Chandak, Gregory Kondas, Liat Antwarg Friedman, Isaac Kohane, Matthew McDermott

2026-09-26

EffiPair: Improving the Efficiency of LLM-generated Code with Differential Execution Feedback

Samira Hajizadeh, Suman Jana

2026-09-26

USAI-Quant: A Quantitative Reasoning Benchmark for Vision-Language Models in Built Environments

Dongdong Wang, Qingqi Song, Yuzhou Chen, Deepak Balakrishnan, Ravi Shankar Srinivasan, Shenhao Wang

2026-09-26

IndicParam: Benchmark to evaluate LLMs on low-resource Indic Languages

Ayush Maheshwari, Kaushal Sharma, Vivek Patel, Aditya Maheshwari

2026-09-26

Mind the Spike: Mechanisms and Brittleness of Visual Massive Activations in Large Vision-Language Models

Jonas Ngnawé, Yann Pequignot, Sabyasachi Sahoo, Christian Gagné, Frédéric Precioso, Sanmi Koyejo

2026-09-26

Decision-Sufficient State Representations: Measuring and Reducing Write-Time Regret

Bingyu Shen, Boyang Li

2026-09-26

Re-derivability Decides What a Staged Agent Pipeline Recovers After an Upstream Fault

Tianqi Bu, YuXuan Peng, Junteng Tu, Henghui Xiao

2026-09-26

When Can First-Order Models of Fine-Tuning Bound Forgetting?

Jianchang Su, Wei Zhang

2026-09-26

Nutri-ATLAS: Embodied Agent for Tabulated Lookup and Assistance for Smarter nutrition

Uttej Kallakuri, Boxun Hu, Ankur A. Butala, Najim Dehak, Tinoosh Mohsenin

2026-09-26

Fusing Perceptual Vision Experts with Multimodal LLMs for Explainable Plant Disease Diagnosis: From Benchmark Imagery to Real-World Robotic Field Validation

Ranjan Sapkota, Konstantinos I. Roumeliotis, Pengyao Xie, Nikolaos D. Tselikas, Lirong Xiang, Manoj Karkee

2026-09-26

Knowledge-Based Zero-Replay Debugging of Multi-Agent LLM Traces

Hyeonjeong Cha, Daein Weon, Dong Ho Kang

2026-09-26

In RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Post-Retrieval Context Tampering

Iliano Fasolino

2026-09-26

AgentHabit: Characterizing Distinct Behaviors of Agents on Everyday Tasks

Woojung Song, Hoyeol Yang, Jeonghoon Shim, Sungjib Lim, Jonggeun Lee, Yunho Choi, Yohan Jo

2026-09-26

Understanding and Exploiting Anisotropy in Post-Training

Samyak Jha, Harshvardhan Saini, Yizhen Liao, Yiming Tang, Dianbo Liu

2026-09-26

$T^5$: Twin-Critic Training for Token-Level Thoughts in Reinforcement Mid-Training

Nan Qiao, Yebin Yang, Weinong Wang, Shuning Wang, Shangpin Peng, Fengyuan Lu, Xinming Wang, Zhehan Kan, Ruixu Zhang, Songyang Zhang, Sheng Yue, Yonglong Tian, Ju Ren

2026-09-26

A Data-free Universal Prior over Syntactic Structures

Fermín Moscoso del Prado Martín

2026-09-26

Getting Motif-ated: Controllable AI Compositions from Injected Motif Prompts

Chao Peter Yang, Cynthia Rudin, Yue Jiang, Simon Mak, Stephen Ni-Hahn

2026-09-26

CLAIRE: A Schema-Grounded Hybrid Workflow for Healthcare Administrative Form Completion

Garapati Keerthana, Manik Gupta

2026-09-26

CT-OPD: Counterfactual Trace On-Policy Distillation for Diffusion Vision-Language Models

Long Qian, Bingke Zhu, Jiaqi Wei, Yu Li, Yingying Chen, Jinqiao Wang