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

Ruchi Sandilya, Sumaira Perez, Charles Lynch, Lindsay Victoria, Benjamin Zebley, Derrick Matthew Buchanan, Mahendra T. Bhati, Nolan Williams, Timothy J. Spellman, Faith M. Gunning, Conor Liston, Logan Grosenick

2026-02-19

Beyond the Encoder: Joint Encoder-Decoder Contrastive Pre-Training Improves Dense Prediction

Sébastien Quetin, Tapotosh Ghosh, Farhad Maleki

2026-02-19

FR-GESTURE: An RGBD Dataset For Gesture-based Human-Robot Interaction In First Responder Operations

Konstantinos Foteinos, Georgios Angelidis, Aggelos Psiris, Vasileios Argyriou, Panagiotis Sarigiannidis, Georgios Th. Papadopoulos

2026-02-19

CoSpaDi: Compressing LLMs via Calibration-Guided Sparse Dictionary Learning

Denis Makhov, Dmitriy Shopkhoev, Magauiya Zhussip, Ammar Ali, Stamatios Lefkimmiatis

2026-02-19

Nonlinear Model Order Reduction of Dynamical Systems in Process Engineering: Review and Comparison

Jan C. Schulze, Alexander Mitsos

2026-02-19

Be Wary of Your Time Series Preprocessing

Sofiane Ennadir, Tianze Wang, Oleg Smirnov, Sahar Asadi, Lele Cao

2026-02-19

Toward a Fully Autonomous, AI-Native Particle Accelerator

Chris Tennant

2026-02-19

A Theoretical Framework for Modular Learning of Robust Generative Models

Corinna Cortes, Mehryar Mohri, Yutao Zhong

2026-02-19

MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning

Xiaoliang Fu, Jiaye Lin, Yangyi Fang, Binbin Zheng, Chaowen Hu, Zekai Shao, Cong Qin, Lu Pan, Ke Zeng, Xunliang Cai

2026-02-19

Finite-sample performance of the maximum likelihood estimator in logistic regression

Hugo Chardon, Matthieu Lerasle, Jaouad Mourtada

2026-02-19

KLong: Training LLM Agent for Extremely Long-horizon Tasks

Yue Liu, Zhiyuan Hu, Flood Sung, Jiaheng Zhang, Bryan Hooi

2026-02-19

Learning to Stay Safe: Adaptive Regularization Against Safety Degradation during Fine-Tuning

Jyotin Goel, Souvik Maji, Pratik Mazumder

2026-02-19

AI-Assisted Decision Making with Human Learning

Gali Noti, Kate Donahue, Jon Kleinberg, Sigal Oren

2026-02-19

Oversmoothing, Oversquashing, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning

Adrian Arnaiz-Rodriguez, Federico Errica

2026-02-19

LATA: Laplacian-Assisted Transductive Adaptation for Conformal Uncertainty in Medical VLMs

Behzad Bozorgtabar, Dwarikanath Mahapatra, Sudipta Roy, Muzammal Naseer, Imran Razzak, Zongyuan Ge

2026-02-19

On sparsity, extremal structure, and monotonicity properties of Wasserstein and Gromov-Wasserstein optimal transport plans

Titouan Vayer

2026-02-19

Systematic Evaluation of Single-Cell Foundation Model Interpretability Reveals Attention Captures Co-Expression Rather Than Unique Regulatory Signal

Ihor Kendiukhov

2026-02-19

Clapeyron Neural Networks for Single-Species Vapor-Liquid Equilibria

Jan Pavšek, Alexander Mitsos, Elvis J. Sim, Jan G. Rittig

2026-02-20

Fresh Papers

SimpliHuMoN: Simplifying Human Motion Prediction

Aadya Agrawal, Alexander Schwing

2026-03-04

Accurate and Efficient Hybrid-Ensemble Atmospheric Data Assimilation in Latent Space with Uncertainty Quantification

Hang Fan, Juan Nathaniel, Yi Xiao, Ce Bian, Fenghua Ling, Ben Fei, Lei Bai, Pierre Gentine

2026-03-04

UMA: A Family of Universal Models for Atoms

Brandon M. Wood, Misko Dzamba, Xiang Fu, Meng Gao, Muhammed Shuaibi, Luis Barroso-Luque, Kareem Abdelmaqsoud, Vahe Gharakhanyan, John R. Kitchin, Daniel S. Levine, Kyle Michel, Anuroop Sriram, Taco Cohen, Abhishek Das, Ammar Rizvi, Sushree Jagriti Sahoo, Zachary W. Ulissi, C. Lawrence Zitnick

2026-03-04

SELDON: Supernova Explosions Learned by Deep ODE Networks

Jiezhong Wu, Jack O'Brien, Jennifer Li, M. S. Krafczyk, Ved G. Shah, Amanda R. Wasserman, Daniel W. Apley, Gautham Narayan, Noelle I. Samia

2026-03-04

A Dual-Helix Governance Approach Towards Reliable Agentic AI for WebGIS Development

Boyuan, Guan, Wencong Cui, Levente Juhasz

2026-03-04

ZipMap: Linear-Time Stateful 3D Reconstruction with Test-Time Training

Haian Jin, Rundi Wu, Tianyuan Zhang, Ruiqi Gao, Jonathan T. Barron, Noah Snavely, Aleksander Holynski

2026-03-04

Universal Coefficients and Mayer-Vietoris Sequence for Groupoid Homology

Luciano Melodia

2026-03-04

AgentIR: Reasoning-Aware Retrival for Deep Research Agents

Zijian Chen, Xueguang Ma, Shengyao Zhuang, Jimmy Lin, Akari Asai, Victor Zhong

2026-03-04

Turning Trust to Transactions: Tracking Affiliate Marketing and FTC Compliance in YouTube's Influencer Economy

Chen Sun, Yash Vekaria, Zubair Shafiq, Rishab Nithyanand

2026-03-04

Composition-Grounded Data Synthesis for Visual Reasoning

Xinyi Gu, Jiayuan Mao, Zhang-Wei Hong, Zhuoran Yu, Pengyuan Li, Dhiraj Joshi, Rogerio Feris, Zexue He

2026-03-04

TaxonRL: Reinforcement Learning with Intermediate Rewards for Interpretable Fine-Grained Visual Reasoning

Maximilian von Klinski, Maximilian Schall

2026-03-04

Helios: Real Real-Time Long Video Generation Model

Shenghai Yuan, Yuanyang Yin, Zongjian Li, Xinwei Huang, Xiao Yang, Li Yuan

2026-03-04

Robustness of Agentic AI Systems via Adversarially-Aligned Jacobian Regularization

Furkan Mumcu, Yasin Yilmaz

2026-03-04

NeuCLIP: Efficient Large-Scale CLIP Training with Neural Normalizer Optimization

Xiyuan Wei, Chih-Jen Lin, Tianbao Yang

2026-03-04

A dataset of high-resolution plantar pressures for gait analysis across varying footwear and walking speeds

Robyn Larracy, Angkoon Phinyomark, Ala Salehi, Eve MacDonald, Saeed Kazemi, Shikder Shafiul Bashar, Aaron Tabor, Erik Scheme

2026-03-04

Unsupervised Representation Learning - an Invariant Risk Minimization Perspective

Yotam Norman, Ron Meir

2026-03-04

Detecting AI-Generated Essays in Writing Assessment: Responsible Use and Generalizability Across LLMs

Jiangang Hao

2026-03-04

$τ$-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge

Quan Shi, Alexandra Zytek, Pedram Razavi, Karthik Narasimhan, Victor Barres

2026-03-04

Low-Resource Guidance for Controllable Latent Audio Diffusion

Zachary Novack, Zack Zukowski, CJ Carr, Julian Parker, Zach Evans, Josiah Taylor, Taylor Berg-Kirkpatrick, Julian McAuley, Jordi Pons

2026-03-04

Dual-Modality Multi-Stage Adversarial Safety Training: Robustifying Multimodal Web Agents Against Cross-Modal Attacks

Haoyu Liu, Dingcheng Li, Lukas Rutishauser, Zeyu Zheng

2026-03-04

FireANTs: Adaptive Riemannian Optimization for Multi-Scale Diffeomorphic Matching

Rohit Jena, Pratik Chaudhari, James C. Gee

2026-03-04

Robust Unscented Kalman Filtering via Recurrent Meta-Adaptation of Sigma-Point Weights

Kenan Majewski, Michał Modzelewski, Marcin Żugaj, Piotr Lichota

2026-03-04

CareMedEval dataset: Evaluating Critical Appraisal and Reasoning in the Biomedical Field

Doria Bonzi, Alexandre Guiggi, Frédéric Béchet, Carlos Ramisch, Benoit Favre

2026-03-04

Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation

Chun-Wun Cheng, Yining Zhao, Yanqi Cheng, Javier A. Montoya-Zegarra, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero

2026-03-04

CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction

Yinghao Ma, Haiwen Xia, Hewei Gao, Weixiong Chen, Yuxin Ye, Yuchen Yang, Sungkyun Chang, Mingshuo Ding, Yizhi Li, Ruibin Yuan, Simon Dixon, Emmanouil Benetos

2026-03-04

Dissecting Quantization Error: A Concentration-Alignment Perspective

Marco Federici, Boris van Breugel, Paul Whatmough, Markus Nagel

2026-03-04

Beyond Dominant Patches: Spatial Credit Redistribution For Grounded Vision-Language Models

Niamul Hassan Samin, Md Arifur Rahman, Abdullah Ibne Hanif Arean, Juena Ahmed Noshin, Md Ashikur Rahman

2026-03-04

RoboCasa365: A Large-Scale Simulation Framework for Training and Benchmarking Generalist Robots

Soroush Nasiriany, Sepehr Nasiriany, Abhiram Maddukuri, Yuke Zhu

2026-03-04

Efficient Refusal Ablation in LLM through Optimal Transport

Geraldin Nanfack, Eugene Belilovsky, Elvis Dohmatob

2026-03-04

A Constrained RL Approach for Cost-Efficient Delivery of Latency-Sensitive Applications

Ozan Aygün, Vincenzo Norman Vitale, Antonia M. Tulino, Hao Feng, Elza Erkip, Jaime Llorca

2026-03-04

reinforcement learning

Stable Asynchrony: Variance-Controlled Off-Policy RL for LLMs

Luke Huang, Zhuoyang Zhang, Qinghao Hu, Shang Yang, Song Han

2026-02-19

Adapting Actively on the Fly: Relevance-Guided Online Meta-Learning with Latent Concepts for Geospatial Discovery

Jowaria Khan, Anindya Sarkar, Yevgeniy Vorobeychik, Elizabeth Bondi-Kelly

2026-02-19

RetouchIQ: MLLM Agents for Instruction-Based Image Retouching with Generalist Reward

Qiucheng Wu, Jing Shi, Simon Jenni, Kushal Kafle, Tianyu Wang, Shiyu Chang, Handong Zhao

2026-02-19

MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning

Xiaoliang Fu, Jiaye Lin, Yangyi Fang, Binbin Zheng, Chaowen Hu, Zekai Shao, Cong Qin, Lu Pan, Ke Zeng, Xunliang Cai

2026-02-19

Capturing Individual Human Preferences with Reward Features

André Barreto, Vincent Dumoulin, Yiran Mao, Mark Rowland, Nicolas Perez-Nieves, Bobak Shahriari, Yann Dauphin, Doina Precup, Hugo Larochelle

2026-02-19

Efficient Reinforcement Learning for Large Language Models with Intrinsic Exploration

Yan Sun, Jia Guo, Stanley Kok, Zihao Wang, Zujie Wen, Zhiqiang Zhang

2026-02-19

Proof-RM: A Scalable and Generalizable Reward Model for Math Proof

Haotong Yang, Zitong Wang, Shijia Kang, Siqi Yang, Wenkai Yu, Xu Niu, Yike Sun, Yi Hu, Zhouchen Lin, Muhan Zhang

2026-02-19

LexiSafe: Offline Safe Reinforcement Learning with Lexicographic Safety-Reward Hierarchy

Hsin-Jung Yang, Zhanhong Jiang, Prajwal Koirala, Qisai Liu, Cody Fleming, Soumik Sarkar

2026-02-19

RLGT: A reinforcement learning framework for extremal graph theory

Ivan Damnjanović, Uroš Milivojević, Irena Đorđević, Dragan Stevanović

2026-02-19

LRT-Diffusion: Calibrated Risk-Aware Guidance for Diffusion Policies

Ximan Sun, Xiang Cheng

2026-02-19

Continual uncertainty learning

Heisei Yonezawa, Ansei Yonezawa, Itsuro Kajiwara

2026-02-19

CaveAgent: Transforming LLMs into Stateful Runtime Operators

Maohao Ran, Zhenglin Wan, Cooper Lin, Yanting Zhang, Hongyu Xin, Hongwei Fan, Yibo Xu, Beier Luo, Yaxin Zhou, Wangbo Zhao, Lijie Yang, Lang Feng, Fuchao Yang, Jingxuan Wu, Yiqiao Huang, Chendong Ma, Dailing Jiang, Jianbo Deng, Sirui Han, Yang You, Bo An, Yike Guo, Jun Song

2026-02-19

Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning

Jaebak Hwang, Sanghyeon Lee, Jeongmo Kim, Seungyul Han

2026-02-19

Instructor-Aligned Knowledge Graphs for Personalized Learning

Abdulrahman AlRabah, Priyanka Kargupta, Jiawei Han, Abdussalam Alawini

2026-02-19

Deep Reinforcement Learning for Optimal Portfolio Allocation: A Comparative Study with Mean-Variance Optimization

Srijan Sood, Kassiani Papasotiriou, Marius Vaiciulis, Tucker Balch

2026-02-19

Puzzle it Out: Local-to-Global World Model for Offline Multi-Agent Reinforcement Learning

Sijia li, Xinran Li, Shibo Chen, Jun Zhang

2026-02-19

MeGU: Machine-Guided Unlearning with Target Feature Disentanglement

Haoyu Wang, Zhuo Huang, Xiaolong Wang, Bo Han, Zhiwei Lin, Tongliang Liu

2026-02-19

Dynamic Decision-Making under Model Misspecification: A Stochastic Stability Approach

Xinyu Dai, Daniel Chen, Yian Qian

2026-02-19

PoLi-RL: A Point-to-List Reinforcement Learning Framework for Conditional Semantic Textual Similarity

Zixin Song, Bowen Zhang, Qian-Wen Zhang, Di Yin, Xing Sun, Chunping Li

2026-02-19

EnterpriseBench Corecraft: Training Generalizable Agents on High-Fidelity RL Environments

Sushant Mehta, Logan Ritchie, Suhaas Garre, Nick Heiner, Edwin Chen

2026-02-19

Self-Improving Skill Learning for Robust Skill-based Meta-Reinforcement Learning

Sanghyeon Lee, Sangjun Bae, Yisak Park, Seungyul Han

2026-02-19

Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning

Xuefeng Wang, Lei Zhang, Henglin Pu, Ahmed H. Qureshi, Husheng Li

2026-02-19

Retaining Suboptimal Actions to Follow Shifting Optima in Multi-Agent Reinforcement Learning

Yonghyeon Jo, Sunwoo Lee, Seungyul Han

2026-02-19

Spatio-temporal dual-stage hypergraph MARL for human-centric multimodal corridor traffic signal control

Xiaocai Zhang, Neema Nassir, Milad Haghani

2026-02-19

Phase-Aware Mixture of Experts for Agentic Reinforcement Learning

Shengtian Yang, Yu Li, Shuo He, Yewen Li, Qingpeng Cai, Peng Jiang, Lei Feng

2026-02-19

Reinforcement Learning to Discover a North-East Monsoon Index for Rainfall Prediction in Thailand

Kiattikun Chobtham

2026-02-19

Action-Graph Policies: Learning Action Co-dependencies in Multi-Agent Reinforcement Learning

Nikunj Gupta, James Zachary Hare, Jesse Milzman, Rajgopal Kannan, Viktor Prasanna

2026-02-19

A Unified Framework for Locality in Scalable MARL

Sourav Chakraborty, Amit Kiran Rege, Claire Monteleoni, Lijun Chen

2026-02-19

Visual Planning: Let's Think Only with Images

Yi Xu, Chengzu Li, Han Zhou, Xingchen Wan, Caiqi Zhang, Anna Korhonen, Ivan Vulić

2026-02-20

SMAC: Score-Matched Actor-Critics for Robust Offline-to-Online Transfer

Nathan S. de Lara, Florian Shkurti

2026-02-19

language

Artificial Agency Program: Curiosity, compression, and communication in agents

Richard Csaky

2026-02-27

Pushing the Frontier of Black-Box LVLM Attacks via Fine-Grained Detail Targeting

Xiaohan Zhao, Zhaoyi Li, Yaxin Luo, Jiacheng Cui, Zhiqiang Shen

2026-02-19

Towards Anytime-Valid Statistical Watermarking

Baihe Huang, Eric Xu, Kannan Ramchandran, Jiantao Jiao, Michael I. Jordan

2026-02-19

Sink-Aware Pruning for Diffusion Language Models

Aidar Myrzakhan, Tianyi Li, Bowei Guo, Shengkun Tang, Zhiqiang Shen

2026-02-19

CLEF HIPE-2026: Evaluating Accurate and Efficient Person-Place Relation Extraction from Multilingual Historical Texts

Juri Opitz, Corina Raclé, Emanuela Boros, Andrianos Michail, Matteo Romanello, Maud Ehrmann, Simon Clematide

2026-02-19

When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs

Yu Fang, Yuchun Feng, Dong Jing, Jiaqi Liu, Yue Yang, Zhenyu Wei, Daniel Szafir, Mingyu Ding

2026-02-19

What Language is This? Ask Your Tokenizer

Clara Meister, Ahmetcan Yavuz, Pietro Lesci, Tiago Pimentel

2026-02-19

Differences in Typological Alignment in Language Models' Treatment of Differential Argument Marking

Iskar Deng, Nathalia Xu, Shane Steinert-Threlkeld

2026-02-19

Reverso: Efficient Time Series Foundation Models for Zero-shot Forecasting

Xinghong Fu, Yanhong Li, Georgios Papaioannou, Yoon Kim

2026-02-19

When to Trust the Cheap Check: Weak and Strong Verification for Reasoning

Shayan Kiyani, Sima Noorani, George Pappas, Hamed Hassani

2026-02-19

Catastrophic Forgetting Resilient One-Shot Incremental Federated Learning

Obaidullah Zaland, Zulfiqar Ahmad Khan, Monowar Bhuyan

2026-02-19

Unmasking the Factual-Conceptual Gap in Persian Language Models

Alireza Sakhaeirad, Ali Ma'manpoosh, Arshia Hemmat

2026-02-19

Stable Asynchrony: Variance-Controlled Off-Policy RL for LLMs

Luke Huang, Zhuoyang Zhang, Qinghao Hu, Shang Yang, Song Han

2026-02-19

ReplaceMe: Network Simplification via Depth Pruning and Transformer Block Linearization

Dmitriy Shopkhoev, Ammar Ali, Magauiya Zhussip, Valentin Malykh, Stamatios Lefkimmiatis, Nikos Komodakis, Sergey Zagoruyko

2026-02-19

OpenEarthAgent: A Unified Framework for Tool-Augmented Geospatial Agents

Akashah Shabbir, Muhammad Umer Sheikh, Muhammad Akhtar Munir, Hiyam Debary, Mustansar Fiaz, Muhammad Zaigham Zaheer, Paolo Fraccaro, Fahad Shahbaz Khan, Muhammad Haris Khan, Xiao Xiang Zhu, Salman Khan

2026-02-19

AutoNumerics: An Autonomous, PDE-Agnostic Multi-Agent Pipeline for Scientific Computing

Jianda Du, Youran Sun, Haizhao Yang

2026-02-19

Boosting Medical Visual Understanding From Multi-Granular Language Learning

Zihan Li, Yiqing Wang, Sina Farsiu, Paul Kinahan

2026-02-19

Art2Mus: Artwork-to-Music Generation via Visual Conditioning and Large-Scale Cross-Modal Alignment

Ivan Rinaldi, Matteo Mendula, Nicola Fanelli, Florence Levé, Matteo Testi, Giovanna Castellano, Gennaro Vessio

2026-02-19

CT-Bench: A Benchmark for Multimodal Lesion Understanding in Computed Tomography

Qingqing Zhu, Qiao Jin, Tejas S. Mathai, Yin Fang, Zhizheng Wang, Yifan Yang, Maame Sarfo-Gyamfi, Benjamin Hou, Ran Gu, Praveen T. S. Balamuralikrishna, Kenneth C. Wang, Ronald M. Summers, Zhiyong Lu

2026-02-19

AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games

Lance Ying, Ryan Truong, Prafull Sharma, Kaiya Ivy Zhao, Nathan Cloos, Kelsey R. Allen, Thomas L. Griffiths, Katherine M. Collins, José Hernández-Orallo, Phillip Isola, Samuel J. Gershman, Joshua B. Tenenbaum

2026-02-19

Modeling Distinct Human Interaction in Web Agents

Faria Huq, Zora Zhiruo Wang, Zhanqiu Guo, Venu Arvind Arangarajan, Tianyue Ou, Frank Xu, Shuyan Zhou, Graham Neubig, Jeffrey P. Bigham

2026-02-19

CoSpaDi: Compressing LLMs via Calibration-Guided Sparse Dictionary Learning

Denis Makhov, Dmitriy Shopkhoev, Magauiya Zhussip, Ammar Ali, Stamatios Lefkimmiatis

2026-02-19

ODESteer: A Unified ODE-Based Steering Framework for LLM Alignment

Hongjue Zhao, Haosen Sun, Jiangtao Kong, Xiaochang Li, Qineng Wang, Liwei Jiang, Qi Zhu, Tarek Abdelzaher, Yejin Choi, Manling Li, Huajie Shao

2026-02-19

BEADs: Bias Evaluation Across Domains

Shaina Raza, Mizanur Rahman, Michael R. Zhang

2026-02-19

RetouchIQ: MLLM Agents for Instruction-Based Image Retouching with Generalist Reward

Qiucheng Wu, Jing Shi, Simon Jenni, Kushal Kafle, Tianyu Wang, Shiyu Chang, Handong Zhao

2026-02-19

GraphThinker: Reinforcing Video Reasoning with Event Graph Thinking

Zixu Cheng, Da Li, Jian Hu, Ziquan Liu, Wei Li, Shaogang Gong

2026-02-19

A Theoretical Framework for Modular Learning of Robust Generative Models

Corinna Cortes, Mehryar Mohri, Yutao Zhong

2026-02-19

MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning

Xiaoliang Fu, Jiaye Lin, Yangyi Fang, Binbin Zheng, Chaowen Hu, Zekai Shao, Cong Qin, Lu Pan, Ke Zeng, Xunliang Cai

2026-02-19

Learning to Stay Safe: Adaptive Regularization Against Safety Degradation during Fine-Tuning

Jyotin Goel, Souvik Maji, Pratik Mazumder

2026-02-19

CDLM: Consistency Diffusion Language Models For Faster Sampling

Minseo Kim, Chenfeng Xu, Coleman Hooper, Harman Singh, Ben Athiwaratkun, Ce Zhang, Kurt Keutzer, Amir Gholami

2026-02-20

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