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

Zixuan Wang, Yufan Zhou, Jinzhou Tang, Xinle Yu, Chengjun Wu, Lyumanshan Ye, Zhaoxiang Feng, Letian Peng, Adyasha Patra, Fan Bai, Enze Ma, Zhengding Hu, Jianyang Gu, Zhao Wang, Yufei Ding, Jingbo Shang, Tianmin Shu, Zhiting Hu, Zhen Wang

2026-09-14

Verifiable by Construction: Claim-Level Evaluation of Verbatim Citation in Clinical Question Answering

Jiashuo Zhang, Yuling Chen, Yvonne Commodore-Mensah, Michael Oberst

2026-09-14

Spatial Reasoning via Modality Switching Between Language and Symbolic Representations

Shreya Rajpal, Tanawan Premsri, Parisa Kordjamshidi

2026-09-14

Privacy-Aligned Personalized Federated Learning with Compact Adaptation and Variable-Length Gaussian Communication

Yilin Xu, Chun Hei Michael Shiu, Chih Wei Ling, Linqi Song

2026-09-14

Discrete Beckmann Transport Models for One-Step Language Modeling and Reasoning

Sophia Tang, Shiyi Wang

2026-09-14

Bridging Control, Inference, Transport, and Thermodynamics: From Theory to Applications in Learning

Emmy Blumenthal, Nikolas Claussen, Benjamin Eysenbach, Catherine Ji, Gautam Reddy, Colin Scheibner, Benjamin Sorkin

2026-09-14

Quenched Ensemble Sampling

David Yallup

2026-09-14

A Corpus-Aligned Uthmani-to-Standard Quranic Word Mapping and a Deterministic Recitation Validator

Yahya Mohamed Elnawasany

2026-09-14

Fresh Papers

FuseReg: Regularizing Layer Fusion Mitigates the Reconstruction-Generation Gap in Representation Autoencoders

Hongyang Du, Yunfei Xie, Junjie Ye, Jiawei Yang, Xiaoyan Cong, Haodong Zhang, Yongchao Huang, Haiyu Wu, Zongxia Li, Shihang Gui, Dawei Liu, Runhao Li, Jingcheng Ni, Chen Wei, Randall Balestriero, Yue Wang

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

Beyond Forecasting: Recasting Volatility Control as a Routing Problem

Hongji Pu, Leyang Zhou

2026-09-25

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

Mehmet Turan Yardımcı

2026-09-25

Gap-free Differentially Private PCA for Gaussian Data

Alina Ene, Huy L. Nguyen

2026-09-25

First-Order Stationarity of Reverse Diffusions

Zhifeng Chen, Chenyang Jiang, Yazhen Wang

2026-09-25

Statistical attribute alignment for black-box generative AI via output post-processing

Kevin Jiang, Morgane Austern, Edgar Dobriban, Jason M. Klusowski

2026-09-25

User Model Extraction via Belief Self-Distillation

Ali Holmov, Yiran Huang, Kirill Bykov, Zeynep Akata

2026-09-25

New LoRA Skills Should Read but Never Write

Zeyan Li, Panqi Yang, Qirong Guo, Shengda Zhuo, SIyuan Qiu, Hu Xu, Chun Li, Jianfeng Xu

2026-09-25

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

Distribution-Conditioned Transport

Nic Fishman, Gokul Gowri, Paolo L. B. Fischer, Marinka Zitnik, Omar Abudayyeh, Jonathan Gootenberg

2026-09-25

WEECFP-SuRGE: A Position-Aware Substructure Encoding Method for Molecular Property Prediction

Robert Epps

2026-09-25

Pseudo-Invertible Neural Networks

Yamit Ehrlich, Nimrod Berman, Assaf Shocher

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

Common-Mode Collapse and Recovery in Direct Feedback Alignment

Varun Reddy, Bernardo L. Sabatini, Houman Safaai

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

Trust Guided Decision Transformer

Chainesh Gautam, Raghuram Bharadwaj Diddigi, Chandramouli Kamanchi, Pankaj Dayama, Sumanta Mukherjee, Kameshwaran Sampath

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

How Far Can INRs Go? Cross-Domain Parameter-efficient INR-Based Semantic Segmentation for Brain MRI

Ziyao Shang, Pouya Sadeghi, Letian Jiang, Alexander Wong, Sirisha Rambhatla

2026-09-25

Strategically Diverse Sampling for Self-Training

Alexander Gurung, Esmeralda S. Whitammer, Mirella Lapata

2026-09-25

OC-GS: Gaussian Splatting for Irregular Turntable Capture

Jae Joong Lee, Bedrich Benes

2026-09-25

Uncertainty and Explainability in Deep Rough Volatility: A Neural Information-Theoretic Posterior Approach

Damiano Brigo, Raphaël Huser, Dan Leonte

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

Governance Records as Supervision: Verifier-Selected Self-Training for Structured Workflow Repair

Jesus Salas

2026-09-25

RefRef: A Dataset and Benchmark for Reconstructing Refractive and Reflective Objects

Yue Yin, Enze Tao, Weijian Deng, Dylan Campbell

2026-09-25

Weight Pair Encoding: Inducing a Smaller Grammar in Neural Network Weights

Irene Tallini, Daniele Solombrino, Alberto Cazzaniga, Emanuele Rodolà

2026-09-25

Multi-agent Scaling Across Disjunctive and Compensatory Tasks

Carolina Fortuna, Blaz Bertalanic

2026-09-25

Generalization behavior of OPTQ and the role of regularization

Erin George, Rayan Saab

2026-09-25

reinforcement learning

Reflective Policy Optimization

Yaozhong Gan, Renye Yan, Zhe Wu, Junliang Xing

2026-09-21

Spiking Neural Network Actor-Critic Proximal Policy Optimization Control for Autonomous UAV Navigation Through Constrained Openings in Civil Infrastructure and Buildings

Francis Noah Walugembe, Maciej Wielgosz, Tomaž Goričan, Matej Mertik

2026-09-20

Bellman Policy Optimization

Zhuoqing Song, Haotian Xu, Xikun Zhang, Lidong Bing

2026-09-14

Safe Meta-Reinforcement Learning via Information Space Reachability

Zeyang Li, Sunbochen Tang, Navid Azizan

2026-09-14

Bridging Control, Inference, Transport, and Thermodynamics: From Theory to Applications in Learning

Emmy Blumenthal, Nikolas Claussen, Benjamin Eysenbach, Catherine Ji, Gautam Reddy, Colin Scheibner, Benjamin Sorkin

2026-09-14

Inoculation Midtraining with Learned Neologisms

Kyle O'Brien, Edward James Young, Puria Radmard, Nathalie Kirch, Cameron Tice, Tomek Korbak, David Demitri Africa

2026-09-14

Learning Multimodal One-step Flow Policy via Value-weighted Optimal Transport

Jaehun Shon, Jinha Choi, Jongwook Jeon, Jongmin Lee

2026-09-14

Navigating Sparse Evidence: Agentic Visual RAG via Explicit Context Selection and Consolidation

Yucheng Shen, Lingyong Yan, Jiulong Wu, Shuaiqiang Wang, Jianmin WU, Dawei Yin, Min Cao

2026-09-14

Assembling the CREW: A Collaborative Multi-agent Reinforcement Learning Framework for Automated Related Work Generation

Hai-Dang Dang, Bao-Yen Pham, Bao Nguyen, Tran Thi Huong, Huynh Thi Thanh Binh

2026-09-14

Hindsight-Anchored Policy Optimization: Learning Through Hindsight with Thompson Sampling-Inspired Adaptive Gating

Yuning Wu, Ke Wang, Haoran Liu, Chaoqun Jia, Devin Chen, Kai Wei

2026-09-14

VideoScout: Learning Agentic Active Exploration with Adaptive Reasoning Pacing for Long Video Understanding

Weixin Xu, Zhenyu Yang, Bing Wang, Shengsheng Qian, Changsheng Xu

2026-09-14

Self-Evolving Memory for Generative Recommendation

Xinyu Lin, Zhuosong Jiang, Zixiao Suo, Siqin Wang, Hanqing Zeng, Hanchao Yu, Yinglong Xia, Jiang Zhang, Aashu Singh, Fei Liu, Wenjie Wang, Fuli Feng, Yang Song, Qifan Wang, Tat-Seng Chua

2026-09-14

Specifying Reward Functions for RL Without Environment Sampling

Stephane Hatgis-Kessell, W. Bradley Knox, Emma Brunskill

2026-09-14

Strong and Compact Policies for Submodular Markov Decision Processes via LP-Based Submodular Orienteering

Lars Rohwedder, Rico Zenklusen

2026-09-14

HISPO: Hierarchical Importance-Sampling Policy Optimization with Entropy-Derived Segments

Quoc-Vinh Lai-Dang, Hyo-Sang Shin

2026-09-14

Data Security in Large Language Models: Risks, Defense, and Directions

Kang Chen, Xiuze Zhou, Yuanhui Yu, Yuanguo Lin, Hefeng Chen, Congyu Cai, Li Shen

2026-09-14

MARE: Multimodal Alignment and Reinforcement for Explainable Deepfake Detection via Vision-Language Models

Wenbo Xu, Wei Lu, Xiangyang Luo

2026-09-14

CodeTS: Verifiable Text-to-Time Series Generation via Executable Code

Xudong Yuan, Shunyu Liu, Tongya Zheng, Huiping Zhuang, Mingli Song, Kaixuan Chen

2026-09-14

Robust and Efficient Communication for Multi-Agent Learning

Rafael Pina, Varuna De Silva, Corentin Artaud

2026-09-14

Evaluation Metrics for Safe Reinforcement Learning

Lindsay Spoor, Aske Plaat, Thomas Moerland

2026-09-14

Learning from Reliable Negatives: Confidence-Anchored Test-Time Adaptation for GUI Grounding

Yizhou Liu, Fei Tang, Yuchen Yan, Zhengxi Lu, Songqin Nong, Tao Jiang, Wenhao Xu, Wenqi Zhang, Weiming Lu, Jun Xiao, Yongliang Shen

2026-09-14

Admissable: Training Reinforcement Learning Agents against Adversarial Missingness

Paul Stahlhofen, Luca Hermes, Tim Kochs, Markus Vieth, Barbara Hammer

2026-09-14

Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning

Alex Schutz, Victor-Alexandru Darvariu, Efimia Panagiotaki, Bruno Lacerda, Nick Hawes

2026-09-14

ProteinZero: Self-Improving Protein Generation via Online Reinforcement Learning

Ziwen Wang, Jiajun Fan, Ruihan Guo, Thao Nguyen, Heng Ji, Ge Liu

2026-09-14

Reconciling Process Supervision with Outcome-Based Credit in Agentic Policy Optimization

Jingxiao Yang, Wangjie Gan, Yingxuan Zhuang, Wenqi Zhang, Jintao Chen, Xuhong Zhang

2026-09-14

Long-to-Short Video Evidence Reasoning for Grounded Question Answering

Kaiyan Chen, Junbin Xiao, Xun Yang

2026-09-14

GRAVA: Grounded Reasoning-to-Action Representation and Learning for Autonomous Driving

Xiao Liu, Haoyu Li, Jianghao Leng, Lin Wang, Chao Sun

2026-09-14

Cloud Workflow Scheduling Based on Graph Attention-Driven Hierarchical Reinforcement Learning

Zongjin Li, Shaohan Feng, Chunxi Yang, Wenbo Wang

2026-09-14

Refinement-based Flow Policy Optimization

Bumgeun Park, Hyukjun Yang, Donghwan Lee

2026-09-14

HiGFRL: Hierarchical Graph Fusion-Driven Reinforcement Learning for Dependency-Aware Task Scheduling in Heterogeneous Cloud

Tiangang Li, Shi Ying, Xiangbo Tian

2026-09-14

language

TransBERT: A Framework for Synthetic Translation in Domain-Specific Language Modeling

Julien Knafou, Luc Mottin, Anaïs Mottaz, Alexandre Flament, Patrick Ruch

2026-09-23

Hub-Spectral Activation of Latent Multimodal Knowledge

Ying Guo, Haidong Chen, Linrui Xu, Xiaohao Liu, Chuancheng Shi, Canran Xiao, Dan Zhang, Fei Shen, Li Shen, Tat-Seng Chua

2026-09-15

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

Bin Li, Dongdong Wang, Siyang Lu

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

ClusterFewshot: Improving Few-shot Optimization for LLMs workflow

Omri Bar Haim, Shahar Katz, Lior Wolf

2026-09-22

Disciplined Bilevel Programming

Hao Zhu, Joschka Boedecker

2026-09-22

Evidence for systematic semantic structure in individual letters

Gexin Zhao

2026-09-20

HypoEvolve: Genetic Algorithms Enable Multi-Agent LLMs to Discover Scientific Hypotheses

Jieyuan Liu, Mengzhou Hu, Jefferson Chen, JungHo Kong, Pratibha Jagannatha, Yiming Gao, Dexter Pratt, Hsin-Yuan Lee, Zhiting Hu, Trey Ideker, Wei Wang, Eric P. Xing, Zhen Wang

2026-09-14

Corrupt Plans, Clean Traces: Evading Chain-of-Thought Monitoring with Plan Injection

Keertana Chidambaram, Andrew Ilyas, Vasilis Syrgkanis

2026-09-14

Bellman Policy Optimization

Zhuoqing Song, Haotian Xu, Xikun Zhang, Lidong Bing

2026-09-14

Stellar Colosseum: A Many-Agent Harness for Long-Horizon Research in Mathematics and Theoretical Computer Science

Honghao Lin, David P. Woodruff, Yuan Deng, Jieming Mao, Song Zuo, Vahab Mirrokni

2026-09-14

Mind2Dialogue: Training Human-Aware Language Models by Simulating User Mental States

2026-09-14

Verifiable by Construction: Claim-Level Evaluation of Verbatim Citation in Clinical Question Answering

Jiashuo Zhang, Yuling Chen, Yvonne Commodore-Mensah, Michael Oberst

2026-09-14

Spatial Reasoning via Modality Switching Between Language and Symbolic Representations

Shreya Rajpal, Tanawan Premsri, Parisa Kordjamshidi

2026-09-14

Vulnerability Localization Benchmark: Measuring Agentic Security Analysis at Repository Scale

Aman Priyanshu, Supriti Vijay, Kimia Majd, Xuhong He, Fraser Burch, Takahiro Matsumoto, Jianliang He, Baturay Saglam, Arthur Goldblatt, Zhuoran Yang, Amin Karbasi

2026-09-14

Rethinking Length-Based Training: Batch Composition and Loss Normalization in Speech Token Language Models

Hongjin Song, Runwu Shi, Weiqiao Shan, Jiale Luo, Yujin Wang, Yifei Wu, Chunxiang Jin

2026-09-22

From Refusal Tokens to Refusal Control: Discovering and Steering Category-Specific Refusal Directions

Rishab Alagharu, Ishneet Sukhvinder Singh, Shaibi Shamsudeen, Zhen Wu, Ashwinee Panda

2026-09-14

Discrete Beckmann Transport Models for One-Step Language Modeling and Reasoning

Sophia Tang, Shiyi Wang

2026-09-14

Bridging Control, Inference, Transport, and Thermodynamics: From Theory to Applications in Learning

Emmy Blumenthal, Nikolas Claussen, Benjamin Eysenbach, Catherine Ji, Gautam Reddy, Colin Scheibner, Benjamin Sorkin

2026-09-14

Inoculation Midtraining with Learned Neologisms

Kyle O'Brien, Edward James Young, Puria Radmard, Nathalie Kirch, Cameron Tice, Tomek Korbak, David Demitri Africa

2026-09-14

AgentRivet: an automated system for producing Rivet routines from journal publications

Antonio J. Costa, Caterina Doglioni, Christian Gütschow, Andrew D. Pilkington, Sukanya Sinha

2026-09-14

Thinking beyond the anthropomorphic paradigm benefits LLM research

Lujain Ibrahim, Myra Cheng

2026-09-14

LLM-Based Schema-Aware Split Learning for Privacy-Preserving Mental Distress Prediction Across Heterogeneous Surveys

Md Khalid Syfullah, Alvi Ataur Khalil

2026-09-14

Towards interactive evaluations for interaction harms in human-AI systems

Lujain Ibrahim, Saffron Huang, Umang Bhatt, Lama Ahmad, Markus Anderljung

2026-09-14

K-Bench: a clinically calibrated benchmark for evaluating large language models in high-risk mental health conversations

Laura M. Vowels, Matthew J. Vowels, Shivali Sharma, Apoorv Jha, Rehnuma Choudhury, Wasseem El Sarraj, Rachel Francois-Walcott, Aruba Hussain, Sarah Ingram, Angela Loulopoulou, Adva Segal, Elena Volkova

2026-09-14

Learning to Coach for Experiential Learning

Guanheng Chen, Tianzhu Ye, Li Dong, Xun Wu, Shaohan Huang, Furu Wei

2026-09-14

FriendBench: Benchmarking Dyadic Familiarity Inference in Humans and Multimodal Large Language Models

Jeffrey M. Girard, Jason Z. Zheng, Jacqueline R. Vertino, Antony D'Avirro, Benjamin Peloquin

2026-09-14

ParsVoice: A Large-Scale Multi-Speaker Persian Speech Corpus for Text-to-Speech Synthesis

Mohammad Javad Ranjbar Kalahroodi, Heshaam Faili, Azadeh Shakery

2026-09-14

Per-Matrix Optimality Is Not Enough: Three-Level Optimization for Low-Rank LLM Compression

Huicheng Zhang, Xiyao Feng, Ze-Tong Li, Chengkai Zhu, Xiao Shi, Xiwei Pan, Jinguo Liu, Ge Bai, Xin Wang