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

Igor Shilov, Xiaoxue Yang, Alexander Panfilov, Evgenii Kortukov, Matthieu Meeus, Peter Romov, Wojciech Samek, Jonas Geiping, Yves-Alexandre de Montjoye

2026-10-27

Attention as Lattice Gauge Theory: Relations Interact Only Through Wilson Loops

Aakash Sarkar, Ananya Mukherjee, Motoshige Sato

2026-10-27

KPPax: preprocess differentiable kinetic ODE for machine learning in atmospheric chemistry

Wenqing Peng, Michael Boy, Zhi-Song Liu

2026-10-27

Pushing Dexterity and Safety for In-Hand Object Pose Reaching That Works Remarkably Well

Ian Chuang, Hiya Shah, Vamsi Chilamkur, Iman Soltani, Claire Tomlin

2026-10-27

GEPA-Curator: Curated Learning for Self Improving Agents

Zack Yu, Nicholas Lee, Minjae Lee, Lakshya Agarwal, Luca Manolache, Wonjun Kang, Matei Zaharia, Michael W. Mahoney, Kurt Keutzer, Sehoon Kim, Amir Gholami

2026-10-27

Can LLMs Uncover Hidden Physical Laws through Free Exploration?

Zhen Yang, Wen Wang, Xander Xu, Ying-Cong Chen

2026-10-27

A Tight 3-Approximation for Fair $k$-Means

Kangke Cheng, Guanlin Mo, Shihong Song, Hu Ding

2026-10-27

Scaling Laws for Tool-Use Agents via Controllable Environment Synthesis

Andrew Szot, Samira Abnar, Omar Attia, Abbas Kazerouni, Michael Kirchhof, Cheng-Yu Hsieh, Raviteja Vemulapalli, Alexander Toshev

2026-10-27

MuonGS: Pretraining LLMs with Relaxed Weight-Norm Control

Athanasios Glentis, Dawei Li, Mingyi Hong

2026-10-27

Multi-State Linear Attention with Generalized Second-Order Routing

Hee Seung Hwang, Sanghyuk Chun, Xindi Wu, Olga Russakovsky, Zhiwei Deng

2026-10-27

Corrupted but Correct: Why Vision-Language Models Lie to Themselves Internally

Arun Josephraj Arokiaraj, Chenyi Huang, Zekun Wu, Adriano Koshiyama

2026-10-27

Metacognitive Decoding: Efficient Inference for Diffusion Language Agents

Mingyu Zhao, Shuhang Lin, Ligong Han, Xiaojing Yu, Zhenting Wang, Yifei Pang, Yang Zhou, Dimitris N. Metaxas

2026-10-27

Repurposing Video Diffusion Transformers for Cross-View Temporal Object Correspondence

Siyoon Jin, Dahyun Chung, Honggyu An, Sangbeom Lim, Wonjin Nam, Jaewoo Jung, WonJun Moon, Seungryong Kim

2026-10-27

Scaling Reasoning Efficiently via Relaxed On-Policy Distillation

Jongwoo Ko, Sara Abdali, Young Jin Kim, Tianyi Chen, Pashmina Cameron

2026-10-27

Quaternion Approximate Networks for Enhanced Image Classification and Oriented Object Detection

Bryce Grant, Peng Wang

2026-10-27

What Improves During Pretraining? Tracking Knowledge Acquisition with Point-in-Time Models

Chang Su, Bin Wu, Emine Yilmaz, Yao Lu

2026-10-27

New explanations and inference for least angle regression

Karl B. Gregory, Daniel J. Nordman

2026-10-27

Annotrace: A Workbench for Step-Level Annotation of Agent Traces

Chenyi Huang, Arun Josephraj Arokiaraj, Bin Wu, Sahan Bulathwela

2026-10-27

Know, then Draw: A New Learning Paradigm for Visual Generation

Yucheng Mao, Chongjian Ge, Zhuowen Tu, Hao Tan, Hanwen Jiang

2026-10-27

STRAND: Sequence-Conditioned Transport for Single-Cell Perturbations

Boyang Fu, Sameer Gabbita, George Dasoulas, Xiang Lin, Shanghua Gao, Xiaorui Su, Soumya Ghosh, Marinka Zitnik

2026-10-27

Rare, Relevant, and Still Wrong: How Memory Fails LLM Group Decisions

Anouar Imel, Imad Charradi, Abderrahman Sghir, Khalil El Khammar

2026-10-27

Perceiving and Predicting Dynamic Sports: Spatiotemporal Intelligence in Vision Models for Egocentric Tennis Video

Tudor Braicu, Joseph DelPreto, Jared Boyer, Mónika Farsang, Maximilian Stölzle, Tim Niklas Seyde, Daniela Rus

2026-10-27

Optimizing Spectral Signature in Code Backdoor Detection

Quoc Hung Le, Thanh Le-Cong, Bach Le, Bowen Xu

2026-10-27

DeepMine-Mamba: Mitigating Information Dilution in Mamba-Based State Space Models for Document Image Binarization

Sheng-Wei Chan, Yung-Che Wang, Hsin-Jui Pan, Chia-Min Lin, Jen-Shiun Chiang

2026-10-27

I-HITL: Inalienable Human-in-the-Loop

Samuel Breckenridge, Dani Vilardell, Wenhao Wang, Fan Zhang, Ari Juels

2026-10-27

VideoLVR: Latent Visual Reasoning over Grounded Video Evidence

Shilong Li, Xingyuan Bu, Hao Shi, Yun Xing, Weixin Feng, Qiangpeng Yang, Shilei Wen

2026-10-27

reinforcement learning

Circuit Claims Depend on What Is Extracted and How It Is Compared

Yang Sheng, Jie Fu

2026-10-15

Waypoint-OPD: Transferring RL-Induced Policy Shifts via Gated On-Policy Distillation

Bingxi Hou, Guochao Jiang, Guofeng Quan, Weiqing Li, Wenfeng Feng, Guohua Liu, Yuewei Zhang

2026-10-15

Finite-Time Guarantees for Constrained Reinforcement Learning under Partial Observability

Valentina Zaccaria, Philip Jordan, Tingting Ni, Gian Antonio Susto, Maryam Kamgarpour

2026-10-15

Reinforcement Learning-driven Diffusion Models: Language, Vision, and Beyond

Zhiyuan Ma, Jiabao Wei, Tianyu Wang, Hanqing Wang, Jiadong Pan, Haowen Xu, Liangliang Zhao, Ruixun Liu, Yuhan Wang, Yuwei Zhang, Liang Feng, Junhao Xiao, Kaiyan Zhang, Xuekai Zhu, Daizong Liu, Biqing Qi, Yihao Liu, Ganqu Cui, Ning Ding, Linfeng Zhang, Jianjun Li, Kun He, Xiang Bai, Bowen Zhou

2026-10-15

Play2Perfect: What Matters in Dexterous Play Pretraining for Precise Assembly?

Tyler Ga Wei Lum, Kushal Kedia, C. Karen Liu, Jeannette Bohg

2026-10-15

QREF: Improving DeepSearch Agents by Aligning Search with Reasoning via Query Refinement and Evidence Filtering

Yujia Chen, Yuhui Wang, Junzhe Wang, Shihan Dou, Di Liang, Yujiong Shen, Yuhao Zhou, Zhiheng Xi, Ming Zhang, Senjie Jin, Jiayi Chen, Dingwei Zhu, Yajie Yang, Yuan Hua, Chenyao Lu, Tao Gui, Qi Zhang, Xuanjing Huang

2026-10-15

Drive As You Like: Multi-Head Diffusion with Reinforcement Learning for Personalized Driving

Ding Fan, Xuewen Luo, Hwa Hui Tew, Susilawati, Vishnu Monn Baskaran, Fucai Ke

2026-10-15

Incentivizing Tool-Use Reinforcement Learning for Post-Arrival Emergency Care Prediction

Pengfei Hu, Chenwei Wu, Qiao Jin, Jun Deng, Zhiyong Lu, Liyue Shen, Yue Ning

2026-10-15

V-SHARE: Provable Convergence Guarantees for Advantage-based Algorithms

Kintan Saha, Hamed Masoudi, Xinyi Sheng, Dominik Baumann, Joni Pajarinen, Arsenii Mustafin

2026-10-15

M$^3$R-Bench: A Unified Benchmark for Evidence-Grounded Multimodal Metaphor Understanding

Hong Jiang, Junnan Zhu, Jingwang Huang, Xiao Sun, Yuming Yang, Jiang Zhong, Ruirui Chen, Jingman Shi, Hao Wu, Nayu Liu, Xinyi Jiang, Kaiwen Wei

2026-10-15

Learning to Reason with Selective Internal Feedback

Xun Lu, Shumeng Yang, Xinrui Wang, Songjun Tu, Linjing Li, Daniel Dajun Zeng

2026-10-15

Perception or Reasoning? Diagnosing and Tackling Reinforcement Learning Bottlenecks in VLMs

Zeyuan Yang, Zhuohao Chen, Jiaben Chen, Yao Zhang, Maohao Shen, Chuang Gan

2026-10-15

SceneReVis: A Self-Reflective Vision-Grounded Framework for 3D Indoor Scene Synthesis via Multi-Turn RL

Yang Zhao, Shizhao Sun, Meisheng Zhang, Yingdong Shi, Xubo Yang, Jiang Bian

2026-10-15

Hindsight-Privileged RLVR: Single-Rollout Token Credit Without Group Sampling

Wei Chen, Yubing Wu, Zhou Xu, Haoyue Zhang, Delu Zeng, Jiahao Wang, Junmei Yang, Pan tiewen, Jingfeng Liu, Zhiheng Zhou, Bo Li, Min Chen

2026-10-15

Honesty is the Best Policy ... or is it? Demand Management for Probabilistic Service Options

Daniela Sailer, Robert Klein, Claudius Steinhardt

2026-10-15

Ranking and Partitioning of Attention Heads for Sparse and Continual Reinforcement Learning Fine-tuning

Ruizhe Shi, Zaiwen Yang, Qiubo Wang, Banghua Zhu, Maryam Fazel

2026-10-15

Design the Feedback, Not Just the Reward: Environments for Open-Ended Reinforcement Learning

Rui Jin, Jikai Chen, Chengyue Yu, Yihan Chen, Hao Zhou, Demin Zhu, Kaichen Yang, Dong Wang, Linjian Mo, Chenyi Zhuang

2026-10-15

Constrained Multi-Agent Reinforcement Learning in Imagination

Raz Shmueli, Shahaf S. Shperberg

2026-10-15

Plan Before You Trade: Inference-Time Optimization for RL Trading Agents

Eun Go, Rohan Deb, Arindam Banerjee

2026-10-15

The Density of Thought: Predicting and Steering Reasoning in Large Language Models

Tanush Kalhan, Anupam Chattopadhyay, Sriram Ranga, Amritendu Mukherjee

2026-10-15

PureTD: Reinforcement Learning for Backgammon Money Games with No Evaluation-time Search

Alexander L. Strehl

2026-10-15

Right Answer, Wrong Tokens: Tail-Aware Credit Calibration for RLVR

Xiuyi Lou, Zicheng Xu, Yu-Neng Chuang, Hoang Anh Duy Le, Zhaozhuo Xu, Guanchu Wang, Vladimir Braverman

2026-10-15

Atomic Proximal Policy Optimization for Electric Robo-Taxi Dispatch and Charger Allocation

Jim Dai, Manxi Wu, Zhanhao Zhang

2026-10-15

What Should We Remove? Evaluating the Reliability and Costs of RLVR Data Decontamination

Esther Xin

2026-10-15

RM-OPD: On-Policy Distillation for Generative Reward Models

Qinglin Su, Licheng Pan, Zhen Fang, Jiakang Wang, Qingnan Ren, Yunsheng Lu, Yan Gao, Zhixuan Chu

2026-10-15

Rubric Judgments Lack Uncertainty: Conformal Weighting for LLM Evaluation

Licheng Pan, Haocheng Yang, Haoxuan Li, Yuzhou Chen, Yichen Sun, Yuan Lu, Xiaoxi Li, Hao Wang, Zhixuan Chu, Kui Ren

2026-10-15

AlphaRLM: Aligning Language Models for Literature-Grounded Symbolic Factor Discovery

Jie Huang, Yuecheng Hong, Yao Chen, Hao Zhong, Linfeng Xiao, Xudong Liu, Qiang Ye, Hao Xia, Jianxuan Xin

2026-10-15

KV-streams for Efficient Compaction in Agentic Reinforcement Learning

Emiliano Penaloza, Dane Malenfant, Dheeraj Vattikonda, Roger Creus Castanyer, Siddarth Venkatraman, Abhay Puri, Jonathan Light, Matthew James Sargent, Augustine N. Mavor-Parker, Massimo Caccia, Lucas Caccia, Glen Berseth, Esmeralda S. Whitammer, Alessandro Sordoni, Minseon Kim, Marc-Alexandre Côté, Laurent Charlin, Guillaume Lajoie

2026-10-15

Minimal Witness Reinforcement Learning

T. Y. Tsui, Zihao Ye, Pengxiang Cai, Yanchao Li, Yuqiang Li, Zhehong Ai

2026-10-15

Blackbox Performance Analysis of LLM-based Network Control

Mahdi Alizadeh, Pooria Namyar, Arvin Ghavidel, Ramesh Govindan

2026-10-20

language

Atom as an Agent: Emergent Order by Collective Predictive Coding

Koji Hashimoto, Tadahiro Taniguchi

2026-10-27

Less is More: Efficient Black-box Attribution via Minimal Interpretable Subset Selection

Ruoyu Chen, Siyuan Liang, Jingzhi Li, Shiming Liu, Li Liu, Hua Zhang, Xiaochun Cao

2026-10-15

Documenting Trofinetide Treatment Phenotypes in Rett Syndrome with a Dual-LLM Consensus Pipeline

Daniel Palacios, Guantong Qi, Mikael Guzman Karlsson, Shawntel K. David, Mohammed Sameeruddin, Bernhard Suter, Zhandong Liu, Davut Pehlivan, Hu Chen

2026-10-15

EPIC-Bench: A Perception-Centric Benchmark for Fine-Grained Embodied Visual Grounding in Vision-Language Models

Haozhe Shan, Xiancong Ren, Han Dong, Yingji Zhang, Haoyuan Shi, Jiayu Hu, Qinfan Zhang, Yi Zhang, Yong Dai, Bin Shen, Lizhen Qu, Zenglin Xu, Xiaozhu Ju

2026-10-15

Mobius Injection: From One-Shot Prompt Injection to Sustained Resource Exhaustion in AI Agent Infrastructure

Zi Liang, Ronghua Li, Yanyun Wang, Qingqing Ye, Haibo Hu

2026-10-19

Autonomous intelligence for mining productivity: a multi-agent AI approach to operational value creation

N Guerin, A Dehoux, M Nakhla

2026-10-19

Humanity's Last Exam

Long Phan, Alice Gatti, Ziwen Han, Nathaniel Li, Josephina Hu, Hugh Zhang, Chen Bo Calvin Zhang, Mohamed Shaaban, John Ling, Sean Shi, Michael Choi, Anish Agrawal, Arnav Chopra, Adam Khoja, Ryan Kim, Richard Ren, Jason Hausenloy, Oliver Zhang, Mantas Mazeika, Dmitry Dodonov, Tung Nguyen, Jaeho Lee, Daron Anderson, Mikhail Doroshenko, Alun Cennyth Stokes, Mobeen Mahmood, Oleksandr Pokutnyi, Oleg Iskra, Jessica P. Wang, John-Clark Levin, Mstyslav Kazakov, Fiona Feng, Steven Y. Feng, Haoran Zhao, Michael Yu, Varun Gangal, Chelsea Zou, Zihan Wang, Serguei Popov, Robert Gerbicz, Geoff Galgon, Johannes Schmitt, Will Yeadon, Yongki Lee, Scott Sauers, Alvaro Sanchez, Fabian Giska, Marc Roth, Søren Riis, Saiteja Utpala, Noah Burns, Gashaw M. Goshu, Mohinder Maheshbhai Naiya, Chidozie Agu, Zachary G

2026-10-19

RoboHarness: A Simple Harness Outperforms VLA and World Action Models

Bince Qu, Wei Chen, Bo Zhang

2026-10-16

SCRIBE: Scalable Contextual Representations of Interpretable Brain-Grounded Semantics

Camila Kolling, Omer Moussa, Emin Çelik, Mariya Toneva

2026-10-15

Decomposing Brain-LLM Alignment with Interpretable Semantic Representations

Camila Kolling, Mariya Toneva

2026-10-15

Qwen-Audio-Jev: A Unified Interface for Audio Decisions

Ying Fang, Zhifu Gao, Qing Gu, Jiajun He, Kangqi Jing, Xiangang Li, Yu Pu, Wupeng Wang

2026-10-15

Evaluating Inquiry Learning in LLM-Based Agents: Hypothesizing, Reasoning, and Exploration

Marta Knežević, Seyed Parsa Neshaei, Jibril Frej, Vinitra Swamy, Tanja Käser

2026-10-15

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis

Yongxian Wei, Yilin Zhao, Li Shen, Zixuan Hu, Xinrui Chen, Runxi Cheng, Sinan Du, Hao Yu, Dian Li, Chun Yuan

2026-10-15

LoopAhead: Speculating Ahead for Faster Decoding in Looped Language Models

Zixuan Liu, Nan Xue, Rui Bao, Yuhang Xu, Xiaofeng Cao, Jiangchao Yao, Zhiyong Chen

2026-10-15

SecureClaw: Clawing Back Control of LLM Agents

Yuhan Ma, Stefan Schmid

2026-10-15

Hear, Localize, and Reason: Spatially Aware Scene Understanding for Audio-Visual LLMs

Kim Sung-Bin, Lee Jung-Mok, Jinwoo Jung, Oh Hyun-Bin, Hyeonggon Ryu, David Harwath, Tae-Hyun Oh

2026-10-15

LIBERO-Industry: Benchmarking Robotic Manipulation under Industrial Process Constraints

Ming Shin Cindy Sung, Duan Leijiahao, Haoxiang Wang, Boning Tan, Liangna Fu, Chao Tan, Yafu Li, Yulong Chen, Chaoqun Wan, Zhen Huang, Shuxian Liang, Xian-Sheng Hua

2026-10-15

MYOPIA: Understanding the Limits of Tree-Based Reasoning in Vision-Language Models

Islam Mesabah, Sary Elmansoury, Gerrit Großmann, Peter Neigel, Sebastian J. Vollmer

2026-10-15

Rethinking the Role of Tool Graph Memory in Multi-Turn Tool Use

Uiji Hwang, Richeng Xuan, Taeuk Kim

2026-10-15

From Perception to Prediction and Intervention: Benchmarking Proactive Video Assistants in Real-Life Scenarios

Boyu Cui, Junhao Luo, Zhihao Wang, Linghan Chen, Zejun Li, Jiwen Zhang, Siyuan Wang, Zhongyu Wei

2026-10-15

BiShield-TEE: On the (In-)Security of Unilateral Weight Obfuscation in On-Device TEE-Shielded LLM Partition

Zhiyuan Wang, Yuezhi Zhou, Ziqi Zhang, Zhu Zhang, Zhixing Tan, Yongheng Deng