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

Avish Vijayaraghavan, Jaskaran Singh Kawatra, Sebin Sabu, Jonny Sheldon, Will Poulett, Alex Eze, Daniel Key, John Booth, Shiren Patel, Jonny Pearson, Dan Schofield, Jonathan Hope, Pavithra Rajendran, Neil Sebire

2026-04-05

Q-Zoom: Query-Aware Adaptive Perception for Efficient Multimodal Large Language Models

Yuheng Shi, Xiaohuan Pei, Linfeng Wen, Minjing Dong, Chang Xu

2026-04-08

Fresh Papers

Bidirectional Cross-Modal Prompting for Event-Frame Asymmetric Stereo

Ninghui Xu, Fabio Tosi, Lihui Wang, Jiawei Han, Luca Bartolomei, Zhiting Yao, Matteo Poggi, Stefano Mattoccia

2026-04-16

LeapAlign: Post-Training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories

Zhanhao Liang, Tao Yang, Jie Wu, Chengjian Feng, Liang Zheng

2026-04-16

TokenLight: Precise Lighting Control in Images using Attribute Tokens

Sumit Chaturvedi, Yannick Hold-Geoffroy, Mengwei Ren, Jingyuan Liu, He Zhang, Yiqun Mei, Julie Dorsey, Zhixin Shu

2026-04-16

MM-WebAgent: A Hierarchical Multimodal Web Agent for Webpage Generation

Yan Li, Zezi Zeng, Yifan Yang, Yuqing Yang, Ning Liao, Weiwei Guo, Lili Qiu, Mingxi Cheng, Qi Dai, Zhendong Wang, Zhengyuan Yang, Xue Yang, Ji Li, Lijuan Wang, Chong Luo

2026-04-16

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework

Hao Gao, Shaoyu Chen, Yifan Zhu, Yuehao Song, Wenyu Liu, Qian Zhang, Xinggang Wang

2026-04-16

Generalization in LLM Problem Solving: The Case of the Shortest Path

Yao Tong, Jiayuan Ye, Anastasia Borovykh, Reza Shokri

2026-04-16

Diagnosing LLM Judge Reliability: Conformal Prediction Sets and Transitivity Violations

Manan Gupta, Dhruv Kumar

2026-04-16

Think in Latent Thoughts: A New Paradigm for Gloss-Free Sign Language Translation

Yiyang Jiang, Li Zhang, Xiao-Yong Wei, Li Qing

2026-04-16

AnimationBench: Are Video Models Good at Character-Centric Animation?

Leyi Wu, Pengjun Fang, Kai Sun, Yazhou Xing, Yinwei Wu, Songsong Wang, Ziqi Huang, Dan Zhou, Yingqing He, Ying-Cong Chen, Qifeng Chen

2026-04-16

Benchmarking Optimizers for MLPs in Tabular Deep Learning

Yury Gorishniy, Ivan Rubachev, Dmitrii Feoktistov, Artem Babenko

2026-04-16

How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability Study

Zhen Yang, Ping Jian, Zhongbin Guo, Zuming Zhang, Chengzhi Li, Yonghong Deng, Xinyue Zhang, Wenpeng Lu

2026-04-16

AD4AD: Benchmarking Visual Anomaly Detection Models for Safer Autonomous Driving

Fabrizio Genilotti, Arianna Stropeni, Gionata Grotto, Francesco Borsatti, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto

2026-04-16

ArrowGEV: Grounding Events in Video via Learning the Arrow of Time

Fangxu Yu, Ziyao Lu, Liqiang Niu, Fandong Meng, Jie Zhou

2026-04-16

Structural interpretability in SVMs with truncated orthogonal polynomial kernels

Víctor Soto-Larrosa, Nuria Torrado, Edmundo J. Huertas

2026-04-16

GlobalSplat: Efficient Feed-Forward 3D Gaussian Splatting via Global Scene Tokens

Roni Itkin, Noam Issachar, Yehonatan Keypur, Yehonatan Keypur, Anpei Chen, Sagie Benaim

2026-04-16

R3D: Revisiting 3D Policy Learning

Zhengdong Hong, Shenrui Wu, Haozhe Cui, Boyi Zhao, Ran Ji, Yiyang He, Hangxing Zhang, Zundong Ke, Jun Wang, Guofeng Zhang, Jiayuan Gu

2026-04-16

Why Do Vision Language Models Struggle To Recognize Human Emotions?

Madhav Agarwal, Sotirios A. Tsaftaris, Laura Sevilla-Lara, Steven McDonagh

2026-04-16

How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations

Nouhaila Innan, Antonello Rosato, Alberto Marchisio, Muhammad Shafique

2026-04-16

Prism: Symbolic Superoptimization of Tensor Programs

Mengdi Wu, Xiaoyu Jiang, Oded Padon, Zhihao Jia

2026-04-16

SegWithU: Uncertainty as Perturbation Energy for Single-Forward-Pass Risk-Aware Medical Image Segmentation

Tianhao Fu, Austin Wang, Charles Chen, Roby Aldave-Garza, Yucheng Chen

2026-04-16

Cloning is as Hard as Learning for Stabilizer States

Nikhil Bansal, Matthias C. Caro, Gaurav Mahajan

2026-04-16

CoopEval: Benchmarking Cooperation-Sustaining Mechanisms and LLM Agents in Social Dilemmas

Emanuel Tewolde, Xiao Zhang, David Guzman Piedrahita, Vincent Conitzer, Zhijing Jin

2026-04-16

Beyond Augmentation: Cross-Modal Transformer Fusion with Bi-directional Attention for Low-Data Aneurysm Screening

Antara Titikhsha, Divyanshu Tak

2026-04-16

Stability and Generalization in Looped Transformers

Asher Labovich

2026-04-16

GeoLink: A 3D-Aware Framework Towards Better Generalization in Cross-View Geo-Localization

Hongyang Zhang, Yinhao Liu, Haitao Zhang, Zhongyi Wen, Zhenyu Kuang, Shuxian Liang, Xiansheng Hua

2026-04-16

Model Capability Dominates: Inference-Time Optimization Lessons from AIMO 3

Natapong Nitarach

2026-04-16

Critical-CoT: A Robust Defense Framework against Reasoning-Level Backdoor Attacks in Large Language Models

Vu Tuan Truong, Long Bao Le

2026-04-16

Kinetic Interacting Particle Langevin Monte Carlo

Paul Felix Valsecchi Oliva, O. Deniz Akyildiz

2026-04-16

Uncovering the Fragility of Trustworthy LLMs through Chinese Textual Ambiguity

Xinwei Wu, Haojie Li, Hongyu Liu, Xinyu Ji, Ruohan Li, Yule Chen, Yigeng Zhang

2026-04-16

From Tokens to Steps: Verification-Aware Speculative Decoding for Efficient Multi-Step Reasoning

Kiran Purohit, Ramasuri Narayanam, Soumyabrata Pal

2026-04-16

reinforcement learning

Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization

Xuelin Zhang, Hong Chen, Bin Gu, Tieliang Gong, Feng Zheng

2026-04-05

A Comparative Study of Dynamic Programming and Reinforcement Learning in Finite Horizon Dynamic Pricing

Lev Razumovskiy, Nikolay Karenin

2026-04-15

Self-Improving Pretraining: using post-trained models to pretrain better models

Ellen Xiaoqing Tan, Jack Lanchantin, Shehzaad Dhuliawala, Danwei Li, Thao Nguyen, Jing Xu, Ping Yu, Ilia Kulikov, Sainbayar Sukhbaatar, Jason Weston, Xian Li, Olga Golovneva

2026-04-05

Comparative reversal learning reveals rigid adaptation in LLMs under non-stationary uncertainty

Haomiaomiao Wang, Tomás E Ward, Lili Zhang

2026-04-05

Causal Process Models: Reframing Dynamic Causal Graph Discovery as a Reinforcement Learning Problem

Turan Orujlu, Christian Gumbsch, Martin V. Butz, Charley M Wu

2026-04-05

Scaling the Scaling Logic: Agentic Meta-Synthesis of Logic Reasoning

Bowen Liu, Zhi Wu, Runquan Xie, Zhanhui Kang, Jia Li

2026-04-05

Learning Dexterous Grasping from Sparse Taxonomy Guidance

Juhan Park, Taerim Yoon, Seungmin Kim, Joonggil Kim, Wontae Ye, Jeongeun Park, Yoonbyung Chai, Geonwoo Cho, Geunwoo Cho, Dohyeong Kim, Kyungjae Lee, Yongjae Kim, Sungjoon Choi

2026-04-05

Restless Bandits with Individual Penalty Constraints: A New Near-Optimal Index Policy and How to Learn It

Nida Zamir, I-Hong Hou

2026-04-05

CellFluxRL: Biologically-Constrained Virtual Cell Modeling via Reinforcement Learning

Dongxia Wu, Shiye Su, Yuhui Zhang, Elaine Sui, Emma Lundberg, Emily B. Fox, Serena Yeung-Levy

2026-04-05

Can LLMs Learn to Reason Robustly under Noisy Supervision?

Shenzhi Yang, Guangcheng Zhu, Bowen Song, Sharon Li, Haobo Wang, Xing Zheng, Yingfan Ma, Zhongqi Chen, Weiqiang Wang, Gang Chen

2026-04-05

RL unknotter, hard unknots and unknotting number

Anne Dranowski, Yura Kabkov, Daniel Tubbenhauer

2026-04-05

Reflection of Episodes: Learning to Play Game from Expert and Self Experiences

Xiaojie Xu, Zongyuan Li, Chang Lu, Runnan Qi, Yanan Ni, Lumin Jiang, Xiangbei Liu, Xuebo Zhang, Yongchun Fang, Kuihua Huang, Xian Guo, Zhanghua Wu, Zhenya Li

2026-04-05

CODE-GEN: A Human-in-the-Loop RAG-Based Agentic AI System for Multiple-Choice Question Generation

Xiaojing Duan, Frederick Nwanganga, Chaoli Wang

2026-04-05

Provable Multi-Task Reinforcement Learning: A Representation Learning Framework with Low Rank Rewards

Yaoze Guo, Shana Moothedath

2026-04-04

A Multi-Agent Reinforcement Learning Framework for Public Health Decision Analysis

Dinesh Sharma, Ankit Shah, Chaitra Gopalappa

2026-04-04

Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning

Qi Wang, Zhipeng Zhang, Baao Xie, Xin Jin, Yunbo Wang, Shiyu Wang, Liaomo Zheng, Xiaokang Yang, Wenjun Zeng

2026-04-04

Decomposing Communication Gain and Delay Cost Under Cross-Timestep Delays in Cooperative Multi-Agent Reinforcement Learning

Zihong Gao, Hongjian Liang, Lei Hao, Liangjun Ke

2026-04-04

Reinforcement Learning from Human Feedback

Nathan Lambert

2026-04-04

RL-Driven Sustainable Land-Use Allocation for the Lake Malawi Basin

Ying Yao

2026-04-04

Contextualized Visual Personalization in Vision-Language Models

Yeongtak Oh, Sangwon Yu, Junsung Park, Han Cheol Moon, Jisoo Mok, Sungroh Yoon

2026-04-04

Shower-Aware Dual-Stream Voxel Networks for Structural Defect Detection in Cosmic-Ray Muon Tomography

Parthiv Dasgupta, Sambhav Agarwal, Palash Dutta, Raja Karmakar, Sudeshna Goswami

2026-04-04

PRAISE: Prefix-Based Rollout Reuse in Agentic Search Training

Erhan Zhang, Yiqun Chen, Zechun Niu, Wei Yang, Xiaochi Wei, Yan Gao, Yi Wu, Yao Hu, Jiaxin Mao

2026-04-04

RL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time Scenes

Yuan-Kang Lee, Kuan-Lin Chen, Chia-Che Chang, Yu-Lun Liu

2026-04-04

Delayed Homomorphic Reinforcement Learning for Environments with Delayed Feedback

Jongsoo Lee, Jangwon Kim, Soohee Han

2026-04-04

HAD: Combining Hierarchical Diffusion with Metric-Decoupled RL for End-to-End Driving

Wenhao Yao, Xinglong Sun, Zhenxin Li, Shiyi Lan, Zi Wang, Jose M. Alvarez, Zuxuan Wu

2026-04-04

Hindsight-Anchored Policy Optimization: Turning Failure into Feedback in Sparse Reward Settings

Yuning Wu, Ke Wang, Devin Chen, Kai Wei

2026-04-04

When Adaptive Rewards Hurt: Causal Probing and the Switching-Stability Dilemma in LLM-Guided LEO Satellite Scheduling

Yuanhang Li

2026-04-04

NePPO: Near-Potential Policy Optimization for General-Sum Multi-Agent Reinforcement Learning

Addison Kalanther, Sanika Bharvirkar, Shankar Sastry, Chinmay Maheshwari

2026-04-04

Realistic Market Impact Modeling for Reinforcement Learning Trading Environments

Lucas Riera Abbade, Anna Helena Reali Costa

2026-04-04

Greedy and Transformer-Based Multi-Port Selection for Slow Fluid Antenna Multiple Access

Darian Perez-Adan, Jose P. Gonzalez-Coma, F. Javier Lopez-Martinez, Luis Castedo

2026-04-06

language

AnyPoC: Universal Proof-of-Concept Test Generation for Scalable LLM-Based Bug Detection

Zijie Zhao, Chenyuan Yang, Weidong Wang, Yihan Yang, Ziqi Zhang, Lingming Zhang

2026-04-13

Towards Better Statistical Understanding of Watermarking LLMs

Zhongze Cai, Shang Liu, Hanzhao Wang, Huaiyang Zhong, Xiaocheng Li

2026-04-07

Uncertainty-Aware Foundation Models for Clinical Data

Qian Zhou, Yuanyun Zhang, Shi Li

2026-04-05

Cards Against LLMs: Benchmarking Humor Alignment in Large Language Models

Yousra Fettach, Guillaume Bied, Hannu Toivonen, Tijl De Bie

2026-04-09

Linear Representations of Hierarchical Concepts in Language Models

Masaki Sakata, Benjamin Heinzerling, Takumi Ito, Sho Yokoi, Kentaro Inui

2026-04-09

Self-Improving Pretraining: using post-trained models to pretrain better models

Ellen Xiaoqing Tan, Jack Lanchantin, Shehzaad Dhuliawala, Danwei Li, Thao Nguyen, Jing Xu, Ping Yu, Ilia Kulikov, Sainbayar Sukhbaatar, Jason Weston, Xian Li, Olga Golovneva

2026-04-05

VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language Model

Sibo Wang, Xiangkui Cao, Jie Zhang, Zheng Yuan, Shiguang Shan, Xilin Chen, Wen Gao

2026-04-05

Schema-Aware Planning and Hybrid Knowledge Toolset for Reliable Knowledge Graph Triple Verification

Xinyan Ma, Xianhao Ou, Weihao Zhang, Shixin Jiang, Runxuan Liu, Dandan Tu, Lei Chen, Ming Liu, Bing Qin

2026-04-05

Toward Epistemic Stability: Engineering Consistent Procedures for Industrial LLM Hallucination Reduction

Brian Freeman, Adam Kicklighter, Matt Erdman, Zach Gordon

2026-04-05

Sandpiper: Orchestrated AI-Annotation for Educational Discourse at Scale

Daryl Hedley, Doug Pietrzak, Jorge Dias, Ian Burden, Bakhtawar Ahtisham, Zhuqian Zhou, Kirk Vanacore, Josh Marland, Rachel Slama, Justin Reich, Kenneth Koedinger, René Kizilcec

2026-04-05

AURA: Always-On Understanding and Real-Time Assistance via Video Streams

Xudong Lu, Yang Bo, Jinpeng Chen, Shuhan Li, Xintong Guo, Huankang Guan, Fang Liu, Dunyuan Xu, Peiwen Sun, Heyang Sun, Rui Liu, Hongsheng Li

2026-04-05

Scale-Aware Vision-Language Adaptation for Extreme Far-Distance Video Person Re-identification

Ashwat Rajbhandari, Bharatesh Chakravarthi

2026-04-05

Comparative reversal learning reveals rigid adaptation in LLMs under non-stationary uncertainty

Haomiaomiao Wang, Tomás E Ward, Lili Zhang

2026-04-05

Position: Logical Soundness is not a Reliable Criterion for Neurosymbolic Fact-Checking with LLMs

Jason Chan, Robert Gaizauskas, Zhixue Zhao