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

Wei Huang, Bohan Zhang, Chenzhi Liu, Isabella Liu, Shuai Yang, Weian Mao, Luozhou Wang, Yicheng Xiao, Weifeng Lin, Qixin Hu, Bryan Chu, Sifei Liu, Linxi Fan, Xiaojuan Qi, Song Han, Yukang Chen

2026-10-07

Decentralized SGD under Heavy-Tailed Noise: Optimal Convergence Rates and the Role of Gradient Clipping

Aleksandar Armacki, Haoyuan Cai, Ali H. Sayed

2026-10-07

Rephrase Before You Act: Characterizing and Mitigating Language Sensitivity in Vision-Language-Action Models

Mikey Watts, Yuchen Cui

2026-10-07

GRACE: Generation-aware latent compression for efficient video generation

Jiyoung Kim, Paul Hyunbin Cho, Jisu Nam, Donghoon Lee, Hyunsung Go, Yeonkyeong Lee, Hansaem Kim, Seungryong Kim

2026-10-07

Distilling Graph Geometry: Knowledge Gap from GNNs to MLPs

Zhewei Chen, Hao Zhu, Jiaojiao Jiang, Ahad N. Zehmakan

2026-10-07

Why Forget-Only Unlearning Needs Memorization

Luka Radić, Vikrant Singhal, Amartya Sanyal

2026-10-07

RoboJEPA: Scaling Robotic Latent World Models

Artem Zholus, Nicolas Beltran-Velez, Jianhao Yuan, Sarath Chandar, Tushar Nagarajan, Daniel Severo, Koustuv Sinha, Michal Drozdzal, Adriana Romero Soriano, Jeannette Bohg, Nicolas Ballas, Mahmoud Assran

2026-10-07

Collective Behavior of AI Agents: the Case of Moltbook

Giordano De Marzo, Andres L. Marin, David Garcia

2026-10-07

SciExam for ENSO: Can AI Agents Build Climate Models?

Yinling Zhang, Langchen Liu, Dongbin Xiu, Xueyan Zou, Xu Kuang, Mengdi Wang, Shilong Liu

2026-10-07

Data Scarcity and Model Sparsity: Mixtures-of-Experts Overfit More to Repeated Data

Atindra Jha, Margaret Li, Jure Leskovec, Percy Liang, Luke Zettlemoyer

2026-10-07

Video-Conditioned Generative Joint 2D-3D Hand Motion Recovery

Chen Xu, Yunqi Li, Binbin Huang, Brent Yi, Shenghua Gao, Yi Ma

2026-10-07

Loop-Back Authority in LLM Agent Teams: A Paired Experiment on Flat and Hierarchical Coordination

Burak Agachan, Max van Duijn, Amirhossein Zohrehvand

2026-10-07

Your Prompt Should Do More: Effects of Retrieval Instructions in Embedding Models

Amanda Myntti, Jenna Kanerva, Veronika Laippala, Filip Ginter

2026-10-07

RECAST: Learning to Compute the Right Context through Adaptive Evidence Routing

Yilun Hao, Krishna Sayana, Isabella Ye, James S Ren, Sukhdeep Sodhi, Craig Boutilier, Chuchu Fan

2026-10-07

Validity Without Ground Truth: What Stated-Preference Economics Offers the Evaluation of Language Models

Daniel Robert Kling Alexander, Catherine Louise Kling

2026-10-07

How Language Models Organize and Structure Moral Knowledge

Orion Reblitz-Richardson

2026-10-07

Oracle-Efficient and Parameter-Free Agnostic Smoothed Online Learning

Sasha Voitovych, Adam Block, Alexander Rakhlin, Abhishek Shetty

2026-10-07

EmbodiedRSI: Active Continual Robot Learning Through Hypothesis-Guided Co-Evolution

Python Song, Zhixuan Liang, Kelsey Fu, Mengdi Wang, Junfeng Yang, Shilong Liu

2026-10-07

QuadTok: Quadtree Visual Tokenizer for Autoregressive Image Generation

Yucheng Mao, Zeyuan Chen, Xiaojun Shan, Xiang Zhang, Divyansh Srivastava, Bingnan Li, Zhuowen Tu

2026-10-07

Evolutionary Architecture Search for Chlorophyll-$a$ Prediction in Lakes using Sentinel-2

Kursat Komurcu, Linas Petkevicius

2026-10-07

Insights from Autoresearch for Solar Panel Segmentation

Justinas Lekavicius, Kursat Komurcu, Valentas Gruzauskas, Linas Petkevicius

2026-10-07

Best Arm Identification for Bandits with Shifting Means

Lukas Zierahn, Wouter M. Koolen, Shubhada Agrawal, Christina Katsimerou, Dirk van der Hoeven

2026-10-07

Causal Posterior Estimation

Simon Dirmeier, Antonietta Mira

2026-10-07

reinforcement learning

SLMFix: Leveraging Small Language Models for Domain Specific Language Error Fixing with Reinforcement Learning

David Jiahao Fu, Aryan Gupta, Aaron Councilman, Yu-Xiong Wang, Vikram Adve

2026-09-25

Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency

Parsa Hosseini, Akasha Tigalappanavara, Sumit Nawathe, Chenrui Fan, Sourya Basu, Genta Indra Winata, Anirban Das, Soheil Feizi, Nima Chitsazan

2026-09-25

Critic Architecture Matters: Dual vs. Unified Critics for Humanoid Loco-Manipulation

Mehmet Turan Yardımcı

2026-09-25

StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction

Xiangyuan Xue, Yifan Zhou, Zidong Wang, Shengji Tang, Philip Torr, Wanli Ouyang, Lei Bai, Zhenfei Yin

2026-09-25

HySTAR: Anchored Hypergraphs for Stable Credit Assignment in Cooperative Multi-Agent Reinforcement Learning

Xinglong Luo, Yuding Zhang, Yuheng Kuang, Shuxuan Yuan, Zhenni Zeng, Weiqiang Zhu, Zhenhai Ji, Zhengning Wang

2026-09-25

AV-GRPO: Modality-Anchored Decoupling Diffusion Reinforcement Learning for Joint Audio-Video Generation

Zhiyu Xu, Weilong Yan, Yufei Shi, Shiyang Li, Yihao Liu, Kin-Man Lam, Yuewen Cao

2026-09-25

Genetic Algorithms with Optimization Guided Operators

Anna Brandenberger, Ilan Doron-Arad, Elchanan Mossel

2026-09-25

Topology-Driven Anti-Entanglement Control for Soft Robots

Haoyang Le, Shengxuan Wang, Mohan Chen, Shuo Feng

2026-09-25

CODESKILL: Learning Self-Evolving Skills for Coding Agents

Yanzhou Li, Yiran Zhang, Xiaoyu Zhang, Xiaoxia Liu, Yang Liu

2026-09-25

G2MAF: Test-Time Gradient Guidance for Multi-Agent Flow Policies

Guowei Zou, Haitao Wang, Guoxin Wang, Zhiquan Chen, Beiwen Zhang, Guojie Wang, Hejun Wu

2026-09-25

Q-Probe: Scaling Image Quality Assessment to High Resolution via Context-Aware Agentic Probing

Xiang Li, Xueheng Li, Yu Wang, Xuanhua He, Zhangchi Hu, Chengjun Xie

2026-09-25

MA-WAM: Multi-Agent World-Action Model for Test-Time Planning

Guowei Zou, Haitao Wang, Guoxin Wang, Beiwen Zhang, Zhiquan Chen, Guojie Wang, Hejun Wu

2026-09-25

Agentic Limit Order Books: Phase Transitions and Market Impact

Jan Rosenzweig

2026-09-25

Stepwise Intrinsic Rewards for Reasoning in Large Language Models

Xiangwei Wang, Wei Wang, Ken Chen, Nanduni Nimalsiri, Sachith Seneviratne, Saman Halgamuge

2026-09-25

JevAdvBench: A Benchmark and Black-Box Attacks for Reinforcement Learning for Calibrated Decisions Models

Jianyi Hu, Hangtao Zhang, Yi Liu, Yeqi Zeng, Li Zeng, Xianlong Wang, Rui Wang, Leo Yu Zhang

2026-09-25

Provably Safe Sim-to-Real Transfer

Tingting Ni, Maryam Kamgarpour

2026-09-25

Thinking with Cameras: Active Visual Reasoning via Dynamic Viewpoint Control for Surveillance Video Understanding

Xiao Zhang, Wang Zeng, Sheng Jin, Wentao Liu, Chen Qian, Shichao Kan

2026-09-25

Monitor Jailbreaking: Evading Chain-of-Thought Monitoring Without Encoded Reasoning

Julian Schulz

2026-09-25

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing

Miao Wang, Yuling Shi, Yijiang Li, Yeheng Chen, Xiaodong Gu, Bin Li, Bo Gao, Jun Wang, Zengxin Han, Jingtong Wu, Yaduan Ruan

2026-09-25

Up and Down the Abstraction Ladder: Code-Based Skills for Language Agents

Bartłomiej Cupiał, Jens Tuyls, Maciej Wołczyk, Davide Paglieri, Martin Klissarov, Benjamin Eysenbach, Piotr Miłoś, Karthik R. Narasimhan

2026-09-25

Modeling quantum neural network gradient with reinforcement learning

Nhan Trong Luu, Duong Trung Luu, Nam Ngoc Pham, Thang Cong Truong

2026-09-25

Precision at Speed: Sample-Efficient Online Model-Based Reinforcement Learning for Hydraulic Excavator Control

Claudio Canales, Fang Nan, Marco Hutter, Javier Ruiz-del-Solar

2026-09-25

Robust Successor Features

Erik Nikulski, Yamen Habib, Vicenç Gomez, Anders Jonsson, Rubén Moreno-Bote, Javier Segovia-Aguas

2026-09-25

Lifted Bellman Linear Programming for Offline Reinforcement Learning

Hyukjun Yang, Jongchan Park, Narim Jeong, Donghwan Lee

2026-09-25

MVVBench: Benchmarking 4D Reasoning in Vision-Language Models

Hyungjin Chung, Byeongjun Park, Joonseok Lee, Hojun Kim, Jaeho Choi, Byung-Hoon Kim

2026-09-25

PORL: Pretrained Offline Reinforcement Learning for the Job Shop Scheduling Problem

Mateo Toro Diz, Jonathan Hoss, Noah Klarmann

2026-09-25

ToolSearcher: Optimizing Tool Selection at Scale via Reinforcement Learning

Zhenlong Dai, Xujie Song, Zitong Wang, Tong Niu, Jian liu, Weiqiang Wang, Xiu Tang, Sai Wu, Chang Yao, Jingyuan Chen

2026-09-25

Dynamic Welfare-Maximizing Pooled Testing

Edwin Lock, Nicholas Lopez, Francisco Marmolejo-Cossío, Jose Roberto Tello Ayala, David C. Parkes

2026-09-25

Learning Chance-Constrained MDPs with Bellman Distributional Certificates

Chenbei Lu, Hongyu Yi

2026-09-25

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

2026-10-05

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

Towards Understanding LLM-Based Log Anomaly Detection: An Empirical Study of Performance, Efficiency, and Robustness

Bin Li, Dongdong Wang, Siyang Lu

2026-09-25

SLMFix: Leveraging Small Language Models for Domain Specific Language Error Fixing with Reinforcement Learning

David Jiahao Fu, Aryan Gupta, Aaron Councilman, Yu-Xiong Wang, Vikram Adve

2026-09-25

User Model Extraction via Belief Self-Distillation

Ali Holmov, Yiran Huang, Kirill Bykov, Zeynep Akata

2026-09-25

Requirement-Bound Verified Commissioning: A Frozen Four-Billion-Parameter Local Model as a Candidate Generator under an External Acceptance Layer with Verification and Release Authority

Mehmet Iscan

2026-09-24

GraphWrit3R: End-to-End 3D Scene Graph Writing

Luka Milivojevic, Nikola Popovic, Sayan Deb Sarkar, Sebastian Koch, Iro Armeni, Luc Van Gool, Danda Pani Paudel

2026-09-25

StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction

Xiangyuan Xue, Yifan Zhou, Zidong Wang, Shengji Tang, Philip Torr, Wanli Ouyang, Lei Bai, Zhenfei Yin

2026-09-25

ChemMLLM: Chemical Multimodal Large Language Model

Qian Tan, Di Zhang, Ben Gao, Peng Xia, Wanhao Liu, Shufei Zhang, Wanli Ouyang, Lei Bai, Yuqiang Li, Tianfan Fu

2026-09-25

Compact Documentation for Coding Agents: A Benchmark, an Optimizer, and Why It Does Not Transfer

Md Shohel Arman, Igor Molybog

2026-09-25

Adapting for AI: How elementary teachers adjust their practices for an AI-integrated curriculum

Fasika Melese, Ruiyang Wu, Xinyue Cui, Joanna Perkins, Xiaoyi Tian, Tiffany Barnes, Shiyan Jiang

2026-09-25

DeepEdu-v1: Efficient and Scalable Agentic LLMs for Vietnamese Education

Quang Nguyen, Hieu Nguyen, Hien Hoang, Toan Pham, Cong Tran, Nam Vu

2026-09-25

Region-Level Black-Box Defense Against Stealthy Embedding-Space Backdoors in CLIP

Ahmed Abdelnaby, Mohamed Elmahallawy

2026-09-25

Can You Check That? The Checkability Boundary for Local LLM Network Automation

Maleeha Masood, Momina Nofal

2026-09-25

EAServe: Encode-Aware Disaggregated Serving for Multimodal Large Language Models

Kunxiong Zhu, Zhihao Shu, Hangyu Zheng, Minghai Qin, Miao Yin, Gagan Agrawal, Wei Niu

2026-09-25

Evaluating Cultural Awareness of LLMs for Haitian Creole

Christelle Clervilsson, Yanzhu Guo

2026-09-25

Structured Reasoning Agentic Framework for Interpretable Critical View of Safety Assessment

Qing Xu, Yuxiang Luo, Zhen Chen

2026-09-25

Agentick: A Unified Benchmark for General Sequential Decision-Making Agents

Roger Creus Castanyer, Pablo Samuel Castro, Glen Berseth

2026-09-25

SatNav: A Scalable Benchmark for Long-Horizon UAV Vision-Language Navigation from Satellite Imagery

Jiajun Jiang, Chunliang Hua, Zichun Chen, Yanxing Wu, Zeyuan Yang, Jie Song, Xiao Hu

2026-09-25

Prompt Minimization: Reducing Input Redundancy Without Sacrificing Output Fidelity

Marius F. R. Juston, Kevin A. Karim, Jonathan Gao, Kevin C. Li, Rudhi Bashambu

2026-09-25

Genetic Algorithms with Optimization Guided Operators

Anna Brandenberger, Ilan Doron-Arad, Elchanan Mossel

2026-09-25

Retail Product Search: A Practical Approach at Target

Darshan Sonagara, Qujiaheng Zhang, Ankit Singh, Alex Li

2026-09-25

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction

Dan Wilson, Mohamed Akrout

2026-09-25

Game Arena: Strategic LLM Evaluation in Competitive Environments

Bovard Doerschuk-Tiberi, Yao Yan, Justin Chiu, Hann Wang, Timothy Chung, Martyna Plomecka, John Schultz, Jon Lipovetz, Clayton Drazner, Yuchen Zhuang, Jaimie Hwang, Nate Keating, Riley Jones, Andrew Lee, Oran Kelly, Ian Gemp, Michael Aaron, Laurel Prince, Kate Larson, Jeff Moser, Harrison Jobe, Chad Woodford, Siqi Liu, Andrew Wang, Bo Chang, Christopher D'Mello, Diane Chaleff, Addison Howard, Johnny Yip, Chuck Sugnet, Antonio Gulli, Meghan O'Connell, Will Cukierski, Nenad Tomasev, Dima Yeroshenko, Kinjal Parekh, Roxanne Daniel, Marc Lanctot, Domino Weir, Elsa Dong, Daniel Hennes, Melissa Nalubwama, Robert Fraser, Ryan Trostle, Jun Peng, Tom Mason, Lloyd Hightower, Chiamaka Chukwuka, Yuexiang Zhai, Phoebe Kirk, Yi Su, Yuting Han, Jie Ren, Chris Prichard, Sahand Sharifzadeh, Karim Hakimzadeh

2026-09-25

The Geometry of Refusal: Why Post-Hoc Safety Is Fragile and Pretraining-Time Safety Persists

Srikanth Malla, Chiho Choi, Joon Hee Choi

2026-09-25

Segment-Level Agentic Topic Modeling for Improved Data Exploration and Resource Efficiency

Myeongjun Erik Jang, Antonios Georgiadis, Sae Young Moon, Fran Silavong

2026-09-25

Nonparametric In-Context Learning under Growing Geometric Complexity: Minimax Optimality and Local Geometry-Adaptivity of Transformers

Jaehee Seo, Jisu Kim

2026-09-25

Diagnosing the Sources of Compositional Failure in Vision-Language Models: A Controlled Analysis

Mona Gandhi, Cenk Merih Olcay, Kuan-Chieh Lo, Santiago Castro, Christopher W. Myers, Srinivasan Parthasarathy