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

Hao Chen, Jiaming Liu, Zhonghao Yan, Nuowei Han, Renrui Zhang, Chenyang Gu, Jialin Gao, Ziyu Guo, Siyuan Qian, Yinxi Wang, Peng Jia, Chi-Wing Fu, Shanghang Zhang, Pheng-Ann Heng

2026-04-30

Representation Fréchet Loss for Visual Generation

Jiawei Yang, Zhengyang Geng, Xuan Ju, Yonglong Tian, Yue Wang

2026-04-30

UAF: A Unified Audio Front-end LLM for Full-Duplex Speech Interaction

Yadong Li, Guoxin Wu, Haiping Hou, Biye Li

2026-04-30

Fresh Papers

WARDEN: Endangered Indigenous Language Transcription and Translation with 6 Hours of Training Data

Ziheng Zhang, Yunzhong Hou, Naijing Liu, Liang Zheng

2026-05-13

EVA-Bench: A New End-to-end Framework for Evaluating Voice Agents

Tara Bogavelli, Gabrielle Gauthier Melançon, Katrina Stankiewicz, Oluwanifemi Bamgbose, Fanny Riols, Hoang H. Nguyen, Raghav Mehndiratta, Lindsay Devon Brin, Joseph Marinier, Hari Subramani, Anil Madamala, Sridhar Krishna Nemala, Srinivas Sunkara

2026-05-13

What is Learnable in Valiant's Theory of the Learnable?

Steve Hanneke, Anay Mehrotra, Grigoris Velegkas, Manolis Zampetakis

2026-05-13

Mechanism Design for Decentralized Risk Detection: Strict Propriety, Network Coalitions, and the Backfiring Mandat

Jian Ni, Lecheng Zheng, John R Birge

2026-05-13

Good Agentic Friends Do Not Just Give Verbal Advice: They Can Update Your Weights

Wenrui Bao, Huan Wang, Jian Wang, Zhangyang Wang, Kai Wang, Yuzhang Shang

2026-05-13

R-DMesh: Video-Guided 3D Animation via Rectified Dynamic Mesh Flow

Zijie Wu, Lixin Xu, Puhua Jiang, Sicong Liu, Chunchao Guo, Xiang Bai

2026-05-13

Unlocking Patch-Level Features for CLIP-Based Class-Incremental Learning

Hao Sun, Zi-Jun Ding, Da-Wei Zhou

2026-05-13

Topology-Preserving Neural Operator Learning via Hodge Decomposition

Dongzhe Zheng, Tao Zhong, Christine Allen-Blanchette

2026-05-13

QLAM: A Quantum Long-Attention Memory Approach to Long-Sequence Token Modeling

Hoang-Quan Nguyen, Sankalp Pandey, Khoa Luu

2026-05-13

Do Activation Verbalization Methods Convey Privileged Information?

Millicent Li, Alberto Mario Ceballos Arroyo, Giordano Rogers, Naomi Saphra, Byron C. Wallace

2026-05-13

Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context

Zhaowei Wang, Lishu Luo, Haodong Duan, Weiwei Liu, Sijin Wu, Ji Luo, Shen Yan, Shuai Peng, Sihang Yuan, Chaoyi Huang, Yi Lin, Yangqiu Song

2026-05-13

Towards A Generative Protein Evolution Machine with DPLM-Evo

Xinyou Wang, Liang Hong, Jiasheng Ye, Zaixiang Zheng, Yu Li, Shujian Huang, Quanquan Gu

2026-05-13

Quantifying Sensitivity for Tree Ensembles: A symbolic and compositional approach

S. Akshay, Chaitanya Garg, Ashutosh Gupta, Kuldeep S. Meel, Ajinkya Naik

2026-05-13

Negation Neglect: When models fail to learn negations in training

Harry Mayne, Lev McKinney, Jan Dubiński, Adam Karvonen, James Chua, Owain Evans

2026-05-13

Diffusion Model's Generalization Can Be Characterized by Inductive Biases toward a Data-Dependent Ridge Manifold

Ye He, Yitong Qiu, Molei Tao

2026-05-13

Reducing cross-sample prediction churn in scientific machine learning

Gordan Prastalo, Kevin Maik Jablonka

2026-05-13

History Anchors: How Prior Behavior Steers LLM Decisions Toward Unsafe Actions

Alberto G. Rodríguez Salgado

2026-05-13

Zatom-1: Towards a Multimodal Foundation Model for 3D Molecules and Materials

Alex Morehead, Miruna Cretu, Antonia Panescu, Rishabh Anand, Maurice Weiler, Tynan Perez, Samuel Blau, Steven Farrell, Wahid Bhimji, Anubhav Jain, Hrushikesh Sahasrabuddhe, Pietro Lio, Tommi Jaakkola, Rafael Gomez-Bombarelli, Rex Ying, N. Benjamin Erichson, Michael W. Mahoney

2026-05-13

AdaptNC: Adaptive Nonconformity Scores for Conformal Prediction under Distribution Shift

Renukanandan Tumu, Aditya Singh, Rahul Mangharam

2026-05-13

Assessment of cloud and associated radiation fields from a GAN stochastic cloud subcolumn generator

Dongmin Lee, Lazaros Oreopoulos, Nayeong Cho, Daeho Jin

2026-05-13

Harnessing Agentic Evolution

Jiayi Zhang, Yongfeng Gu, Jianhao Ruan, Maojia Song, Yiran Peng, Zhiguang Han, Jinyu Xiang, Zhitao Wang, Caiyin Yang, Yixi Ouyang, Bang Liu, Chenglin Wu, Yuyu Luo

2026-05-13

Neurosymbolic Auditing of Natural-Language Software Requirements

Bethel Hall, William Eiers

2026-05-13

Uncertainty-Driven Anomaly Detection for Psychotic Relapse Using Smartwatches: Forecasting and Multi-Task Learning Fusion

Nikolaos Tsalkitzis, Panagiotis P. Filntisis, Petros Maragos, Niki Efthymiou

2026-05-13

OmniLiDAR: A Unified Diffusion Framework for Multi-Domain 3D LiDAR Generation

Youquan Liu, Weidong Yang, Ao Liang, Xiang Xu, Lingdong Kong, Yang Wu, Dekai Zhu, Xin Li, Runnan Chen, Ben Fei, Tongliang Liu, Wanli Ouyang

2026-05-13

JANUS: Anatomy-Conditioned Gating for Robust CT Triage Under Distribution Shift

Lavsen Dahal, Yubraj Bhandari, Geoffrey Rubin, Joseph Y. Lo

2026-05-13

Learning and Generating Mixed States Prepared by Shallow Channel Circuits

Fangjun Hu, Christian Kokail, Milan Kornjača, Pedro L. S. Lopes, Weiyuan Gong, Sheng-Tao Wang, Xun Gao, Stefan Ostermann

2026-05-13

Provable Quantization with Randomized Hadamard Transform

Ying Feng, Piotr Indyk, Michael Kapralov, Dmitry Krachun, Boris Prokhorov

2026-05-13

Parallel Scan Recurrent Neural Quantum States for Scalable Variational Monte Carlo

Ejaaz Merali, Mohamed Hibat-Allah, Mohammad Kohandel, Richard T. Scalettar, Ehsan Khatami

2026-05-13

Min-Max Optimization Requires Exponentially Many Queries

Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Alexandros Hollender

2026-05-13

MedOpenClaw and MedFlowBench: Auditing Medical Agents in Full-Study Workflows

Weixiang Shen, Chengzhi Shen, Yanzhu Hu, Che Liu, Junde Wu, Jiayuan Zhu, Xiao Han, Zongyue Li, Jingpei Wu, Min Xu, Daguang Xu, Yueming Jin, Benedikt Wiestler, Daniel Rueckert, Jiazhen Pan

2026-05-13

reinforcement learning

Recursive Agent Optimization

Apurva Gandhi, Satyaki Chakraborty, Xiangjun Wang, Aviral Kumar, Graham Neubig

2026-05-07

Hierarchical Support Vector State Partitioning for Distilling Black Box Reinforcement Learning Policies

Senne Deproost, Mehrdad Asadi, Ann Nowé

2026-05-05

PlatoLTL: Learning to Generalize Across Symbols in LTL Instructions for Multi-Task RL

Jacques Cloete, Mathias Jackermeier, Ioannis Havoutis, Alessandro Abate

2026-05-07

Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning

Leon Hamm, Zlatan Ajanovic

2026-05-07

LaST-R1: Reinforcing Action via Adaptive Physical Latent Reasoning for VLA Models

Hao Chen, Jiaming Liu, Zhonghao Yan, Nuowei Han, Renrui Zhang, Chenyang Gu, Jialin Gao, Ziyu Guo, Siyuan Qian, Yinxi Wang, Peng Jia, Chi-Wing Fu, Shanghang Zhang, Pheng-Ann Heng

2026-04-30

Exploration Hacking: Can LLMs Learn to Resist RL Training?

Eyon Jang, Damon Falck, Joschka Braun, Nathalie Kirch, Achu Menon, Perusha Moodley, Scott Emmons, Roland S. Zimmermann, David Lindner

2026-04-30

Synthetic Computers at Scale for Long-Horizon Productivity Simulation

Tao Ge, Baolin Peng, Hao Cheng, Jianfeng Gao

2026-04-30

Global Optimality for Constrained Exploration via Penalty Regularization

Florian Wolf, Ilyas Fatkhullin, Niao He

2026-04-30

PRISM: Pre-alignment via Black-box On-policy Distillation for Multimodal Reinforcement Learning

Sudong Wang, Weiquan Huang, Xiaomin Yu, Zuhao Yang, Hehai Lin, Keming Wu, Chaojun Xiao, Chen Chen, Wenxuan Wang, Beier Zhu, Yunjian Zhang, Chengwei Qin

2026-04-30

FiLMMeD: Feature-wise Linear Modulation for Cross-Problem Multi-Depot Vehicle Routing

Arthur Corrêa, Paulo Nascimento, Samuel Moniz

2026-04-30

Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles

Zainab Rehan, Christian Medeiros Adriano, Sona Ghahremani, Holger Giese

2026-04-30

NashPG: A Policy Gradient Method with Iteratively Refined Regularization for Finding Nash Equilibria

Eason Yu, Tzu Hao Liu, Clément L. Canonne, Yunke Wang, Chang Xu, Nguyen H. Tran, Stefano V. Albrecht

2026-04-30

FP-IRL: Fokker--Planck Inverse Reinforcement Learning -- A Physics-Constrained Approach to Markov Decision Processes

Chengyang Huang, Siddhartha Srivastava, Kenneth K. Y. Ho, Kathy E. Luker, Gary D. Luker, Xun Huan, Krishna Garikipati

2026-04-30

RHyVE: Competence-Aware Verification and Phase-Aware Deployment for LLM-Generated Reward Hypotheses

Feiyu Wu, Xu Zheng, Zhuocheng Wang, Yi ming Dai, Hui Li

2026-04-30

Exponential families from a single KL identity

Marc Dymetman

2026-04-30

Constrained Policy Optimization with Cantelli-Bounded Value-at-Risk

Rohan Tangri, Jan-Peter Calliess

2026-04-30

Activation Function Design Sustains Plasticity in Continual Learning

Lute Lillo, Nick Cheney

2026-04-30

Cost-Aware Learning

Clara Mohri, Amir Globerson, Haim Kaplan, Tomer Koren, Yishay Mansour

2026-04-30

Echo-α: Large Agentic Multimodal Reasoning Model for Ultrasound Interpretation

Jing Zhang, Wentao Jiang, Tao Huang, Zhiwei Wang, Jianxin Liu, Jian Chen, Ping Ye, Gang Wang, Zengmao Wang, Bo Du, Dacheng Tao

2026-04-30

Learning from Disagreement: Clinician Overrides as Implicit Preference Signals for Clinical AI in Value-Based Care

Prabhjot Singh, Abhishek Gupta, Chris Betz, Abe Flansburg, Brett Ives, Sudeep Lama, Jung Hoon Son

2026-04-30

Kernelized Advantage Estimation: From Nonparametric Statistics to LLM Reasoning

Shijin Gong, Kai Ye, Jin Zhu, Xinyu Zhang, Hongyi Zhou, Chengchun Shi

2026-04-30

Latent-GRPO: Group Relative Policy Optimization for Latent Reasoning

Jingcheng Deng, Zihao Wei, Liang Pang, Junhong Wu, Shicheng Xu, Zenghao Duan, Huawei Shen

2026-04-30

GUI Agents with Reinforcement Learning: Toward Digital Inhabitants

Junan Hu, Jian Liu, Jingxiang Lai, Jiarui Hu, Yiwei Sheng, Shuang Chen, Jian Li, Dazhao Du, Song Guo

2026-04-30

Bounded Ratio Reinforcement Learning

Yunke Ao, Le Chen, Bruce D. Lee, Assefa S. Wahd, Aline Czarnobai, Philipp Fürnstahl, Bernhard Schölkopf, Andreas Krause

2026-04-30

Generate Your Talking Avatar from Video Reference

Zujin Guo, Zhenhui Ye, Yi Ren, Yuanming Li, Ce Chen, Zhibin Hong, Chen Change Loy

2026-04-30

Rethinking Agentic Reinforcement Learning In Large Language Models

Fangming Cui, Ruixiao Zhu, Cheng Fang, Sunan Li, Jiahong Li

2026-04-30

OmniDrive-R1: Reinforcement-driven Interleaved Multi-modal Chain-of-Thought for Trustworthy Vision-Language Autonomous Driving

Zhenguo Zhang, Haohan Zheng, Yishen Wang, Le Xu, Tianchen Deng, Xuefeng Chen, Qu Chen, Bo Zhang, Wuxiong Huang

2026-04-30

Real-World Doctor Agent with Proactive Consultation through Multi-Agent Reinforcement Learning

Yichun Feng, Jiawei Wang, Lu Zhou, Yikai Zheng, Zhen Lei, Yixue Li

2026-04-30

CastFlow: Learning Role-Specialized Agentic Workflows for Time Series Forecasting

Bokai Pan, Mingyue Cheng, Zhiding Liu, Shuo Yu, Xiaoyu Tao, Yuchong Wu, Qi Liu, Defu Lian, Enhong Chen

2026-04-30

Reinforcement Learning with Markov Risk Measures and Multipattern Risk Approximation

Andrzej Ruszczynski, Tiangang Zhang

2026-05-01

language

SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning

Haoqiang Kang, Xiaokang Ye, Yuhan Liu, Siddhant Hitesh Mantri, Lingjun Mao, James Fleming, Drishti Regmi, Lianhui Qin

2026-05-13

SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning

Haoqiang Kang, Xiaokang Ye, Yuhan Liu, Siddhant Hitesh Mantri, Lingjun Mao, James Fleming, Drishti Regmi, Lianhui Qin

2026-05-10

BlenderRAG: High-Fidelity 3D Object Generation via Retrieval-Augmented Code Synthesis

Massimo Rondelli, Francesco Pivi, Maurizio Gabbrielli

2026-05-01

IACDM: Interactive Adversarial Convergence Development Methodology -- A Structured Framework for AI-Assisted Software Development

Jasmine Moreira

2026-04-30

Syntactically-guided Information Maintenance in Sentence Comprehension

Shinnosuke Isono, Kohei Kajikawa

2026-04-30

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models

Zhiwen Ruan, Yichao Du, Jianjie Zheng, Longyue Wang, Yun Chen, Peng Li, Jinsong Su, Yang Liu, Guanhua Chen

2026-05-02

Uncovering Cross-Objective Interference in Multi-Objective Alignment

Yining Lu, Meng Jiang

2026-05-06

LLM as Clinical Graph Structure Refiner: Enhancing Representation Learning in EEG Seizure Diagnosis

Lincan Li, Zheng Chen, Yushun Dong

2026-04-30

Detecting Hallucinations in Large Language Models via Internal Attention Divergence Signals

Gijs van Dijk

2026-05-06

NSL-MT: Linguistically Informed Negative Samples for Efficient Machine Translation in Low-Resource Languages

Mamadou K. Keita, Christopher Homan, Huy Le

2026-05-05

Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning

Leon Hamm, Zlatan Ajanovic

2026-05-07

HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation

Xin Zhou, Dingkang Liang, Xiwu Chen, Feiyang Tan, Dingyuan Zhang, Hengshuang Zhao, Xiang Bai

2026-04-30

LaST-R1: Reinforcing Action via Adaptive Physical Latent Reasoning for VLA Models

Hao Chen, Jiaming Liu, Zhonghao Yan, Nuowei Han, Renrui Zhang, Chenyang Gu, Jialin Gao, Ziyu Guo, Siyuan Qian, Yinxi Wang, Peng Jia, Chi-Wing Fu, Shanghang Zhang, Pheng-Ann Heng

2026-04-30

Mull-Tokens: Modality-Agnostic Latent Thinking

Arijit Ray, Ahmed Abdelkader, Chengzhi Mao, Bryan A. Plummer, Kate Saenko, Ranjay Krishna, Leonidas Guibas, Wen-Sheng Chu

2026-04-30

Exploration Hacking: Can LLMs Learn to Resist RL Training?

Eyon Jang, Damon Falck, Joschka Braun, Nathalie Kirch, Achu Menon, Perusha Moodley, Scott Emmons, Roland S. Zimmermann, David Lindner

2026-04-30

Sparse Memory Finetuning as a Low-Forgetting Alternative to LoRA and Full Finetuning

Prakhar Gupta, Garv Shah, Satyam Goyal, Anirudh Kanchi

2026-05-04

AEGIS: A Holistic Benchmark for Evaluating Forensic Analysis of AI-Generated Academic Images

Bo Zhang, Tzu-Yen Ma, Zichen Tang, Junpeng Ding, Zirui Wang, Yizhuo Zhao, Peilin Gao, Zijie Xi, Zixin Ding, Haiyang Sun, Haocheng Gao, Yuan Liu, Liangjia Wang, Yiling Huang, Yujie Wang, Yuyue Zhang, Ronghui Xi, Yuanze Li, Jiacheng Liu, Zhongjun Yang, Haihong E

2026-04-30

GlowQ: Group-Shared LOw-Rank Approximation for Quantized LLMs

Selim An, Il hong Suh, Yeseong Kim

2026-04-30

PhyCo: Learning Controllable Physical Priors for Generative Motion

Sriram Narayanan, Ziyu Jiang, Srinivasa Narasimhan, Manmohan Chandraker

2026-04-30

Grounding Agent Memory in Contextual Intent

Ruozhen Yang, Yucheng Jiang, Yueqi Jiang, Priyanka Kargupta, Yunyi Zhang, Jiawei Han

2026-04-30

On the Proper Treatment of Units in Surprisal Theory

Samuel Kiegeland, Vésteinn Snæbjarnarson, Tim Vieira, Ryan Cotterell

2026-04-30

Measuring Opinion Bias and Sycophancy via LLM-based Persuasion

Rodrigo Nogueira, Giovana Kerche Bonás, Thales Sales Almeida, Andrea Roque, Ramon Pires, Hugo Abonizio, Thiago Laitz, Celio Larcher, Roseval Malaquias Junior, Marcos Piau

2026-04-30

Normativity and Productivism: Ableist Intelligence? A Degrowth Analysis of AI Sign Language Translation Tools for Deaf People

Nina Seron-Abouelfadil, Poppy Fynes

2026-04-30

FreeOcc: Training-Free Embodied Open-Vocabulary Occupancy Prediction

Zeyu Jiang, Changqing Zhou, Xingxing Zuo, Changhao Chen

2026-04-30

What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design

Ivan Bercovich

2026-04-30

Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles

Zainab Rehan, Christian Medeiros Adriano, Sona Ghahremani, Holger Giese