Machine Learning
Papers filed under cs.LG on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.
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28,801 to 28,860 of 32,709
Automating Customer Service using LangChain: Building custom open-source GPT Chatbot for organizations
Keivalya Pandya, Mehfuza Holia
cs.CLcs.CYcs.LGarXiv:2310.05421v12023PyRep: Bringing V-REP to Deep Robot Learning
Stephen James, Marc Freese, Andrew J. Davison
cs.ROcs.CVcs.LGarXiv:1906.11176v12019Unlocking the Regulatory Genome by ARGUS: An Evidence-Constrained Agentic Framework for Interpreting Single Nucleotide Variants
Pratik Dutta, Matthew B. Obusan, Max Chao +3
q-bio.GNcs.AIcs.LGarXiv:2610.12281v12026Phonological Interference in Multilingual Speech Models
Moran Yanuka, Raja Giryes, Moris Alper
cs.CLcs.LGarXiv:2610.11275v12026Learning to Plan by Looking Back: Hindsight Hierarchies for Training Reasoning Models
Lars Simon, Holger Eble, Manuel Radons
cs.AIcs.LGcs.LOarXiv:2610.12168v12026RL-ARC: Calibrating Large Reasoning Models via Reasoning-guided Uncertainty
Gukhyeon Lee, SangKeun Lee
cs.AIcs.CLcs.LGarXiv:2610.11352v12026dynnode2vec: Scalable Dynamic Network Embedding
Sedigheh Mahdavi, Shima Khoshraftar, Aijun An
cs.LGcs.SIstat.MLarXiv:1812.02356v22018BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry
Xiang Xu, Joseph G. Lambourne, Pradeep Kumar Jayaraman +3
cs.CVcs.LGarXiv:2401.15563v32024Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models
Surya Narayanan Hari, Matt Thomson
cs.LGcs.AIcs.CLarXiv:2308.11601v22023Domain Adaptive Transfer Learning for Fault Diagnosis
Qin Wang, Gabriel Michau, Olga Fink
stat.MLcs.LGstat.AParXiv:1905.06004v12019What Next-Event Accuracy Cannot See: Closed-Loop Evaluation of Emergency Department Trajectory Simulators
Zhen Xuen Brandon Low
cs.LGcs.AIarXiv:2609.31635v12026Biology-Instructions: A Dataset and Benchmark for Multi-Omics Sequence Understanding Capability of Large Language Models
Haonan He, Yuchen Ren, Yining Tang +12
q-bio.BMcs.AIcs.LGarXiv:2412.19191v22024Camera-Noise Residuals for Face-Swap Detection: Redundant, Not Complementary, and Why
Danil Davydov, Bader Rasheed, Dmitriy Vatolin
cs.LGarXiv:2610.11683v12026Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs
Aaditya K. Singh, DJ Strouse
cs.CLcs.LGarXiv:2402.14903v12024Arctic-Embed 2.0: Multilingual Retrieval Without Compromise
Puxuan Yu, Luke Merrick, Gaurav Nuti +1
cs.CLcs.IRcs.LGarXiv:2412.04506v22024Explainable AI in Credit Risk Management
Branka Hadji Misheva, Joerg Osterrieder, Ali Hirsa +2
q-fin.RMcs.LGarXiv:2103.00949v12021Who Verifies the Verifier? Co-Evolving Inspectable Graders with Self-Improving Agents
Xing Zhang, Guanghui Wang, Yanwei Cui +4
cs.AIcs.CLcs.LGarXiv:2610.11464v12026Assistive Gym: A Physics Simulation Framework for Assistive Robotics
Zackory Erickson, Vamsee Gangaram, Ariel Kapusta +2
cs.ROcs.AIcs.LGarXiv:1910.04700v12019Efficient Vision-Language-Action Management and Serving for Robot Factories
Dionysios Adamopoulos, Nattapol Chanpaisit, Basel Fakhri +1
cs.DCcs.ARcs.LGarXiv:2609.12075v12026Fast BIB simulation at a future Muon Collider with generative machine learning
Radha Mastandrea, Shiyu Peng, Benjamin Rosser +1
physics.ins-detcs.LGhep-exarXiv:2609.12054v12026Patient-Reported Survey Data Improve Prediction of Opioid Use Disorder
Xiyue Jiang, Zihan Ding, Grace Han +3
cs.LGarXiv:2609.12224v12026Image Classification at Supercomputer Scale
Chris Ying, Sameer Kumar, Dehao Chen +2
cs.LGcs.DCstat.MLarXiv:1811.06992v22018Reinforcement Learning over Patient Trajectories for Clinical Reasoning in EHR Foundation Models
Yuxin Xiao, Sheng Zhang, Chandan Singh +4
cs.LGcs.AIcs.CYarXiv:2609.12277v12026EDiS: Edge Disjoint Subgraph Sparsification Framework for Graph Neural Networks
Sai Karthik Navuluru, Siddhartha Shankar Das, Franck Dernoncourt +7
cs.LGarXiv:2610.09059v12026Predicting Collision Cross Sections with GRACE: Geometric Residual Adduct Conditioning via Early-fusion
Parthasarathy Suryanarayanan, Susanta Das, Shreyans Sethi +2
cs.LGcs.AIq-bio.BMarXiv:2609.12223v22026Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository
Enyan Dai, Yiwei Sun, Suhang Wang
cs.SIcs.LGstat.MLarXiv:2002.00837v22020QuPAINT: Physics-Aware Multimodal Reasoning for Quantum Material Characterization
Sankalp Pandey, Xuan-Bac Nguyen, Hoang-Quan Nguyen +4
cs.CVcs.AIcs.LGarXiv:2609.12202v12026Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
Xu Liu, Juncheng Liu, Gerald Woo +7
cs.LGstat.MLarXiv:2410.10469v12024Language Is an Insufficient Substrate for Quantitative Reasoning, and Consequential Domains Need Large Quantitative Models
Reuben Vandeventer, David Imrem, David J. Wild
cs.AIcs.LGarXiv:2609.12105v12026STeCa: Step-level Trajectory Calibration for LLM Agent Learning
Hanlin Wang, Jian Wang, Chak Tou Leong +1
cs.LGcs.AIcs.CLarXiv:2502.14276v22025TransQuest: Translation Quality Estimation with Cross-lingual Transformers
Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov
cs.CLcs.AIcs.LGarXiv:2011.01536v22020RespireNet: A Deep Neural Network for Accurately Detecting Abnormal Lung Sounds in Limited Data Setting
Siddhartha Gairola, Francis Tom, Nipun Kwatra +1
cs.SDcs.LGeess.ASarXiv:2011.00196v22020The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results
Stanley Bak, Changliu Liu, Taylor Johnson
cs.LOcs.LGarXiv:2109.00498v12021Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy
Dicheng Chen, Zi Wang, Di Guo +2
physics.med-phcs.LGeess.IVarXiv:2001.04813v22020Using Weisfeiler-Leman Features for Algorithm Selection in Constraint Optimisation
Alessio Pellegrino, Jacopo Mauro
cs.LGcs.AIarXiv:2610.12119v12026L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models
Ansong Ni, Pengcheng Yin, Yilun Zhao +11
cs.CLcs.LGcs.PLarXiv:2309.17446v22023RepoFusion: Training Code Models to Understand Your Repository
Disha Shrivastava, Denis Kocetkov, Harm de Vries +2
cs.LGcs.AIcs.PLarXiv:2306.10998v12023The Rank the Task Demands: A Causal Rank Law for Matrix Memories Trained on Group Composition
Samuel Larson
cs.LGarXiv:2609.12259v12026Unmasking Trees for Tabular Data
Calvin McCarter
cs.LGstat.MLarXiv:2407.05593v52024GAN Computers Generate Arts? A Survey on Visual Arts, Music, and Literary Text Generation using Generative Adversarial Network
Sakib Shahriar
cs.AIcs.CLcs.CVarXiv:2108.03857v22021Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease
Akis Linardos, Kaisar Kushibar, Sean Walsh +2
eess.IVcs.AIcs.LGarXiv:2107.03901v12021Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet
Sizhe Chen, Zhengbao He, Chengjin Sun +2
cs.LGstat.MLarXiv:2001.06325v32020Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence
Aaqib Saeed, Flora D. Salim, Tanir Ozcelebi +1
cs.LGstat.MLarXiv:2007.13018v12020Timer-M1: A Multivariate Time Series Foundation Model via Learning Primitives
Haoran Zhang, Haixuan Liu, Xingjian Su +5
cs.LGcs.AIarXiv:2610.11734v12026What is the goal of unsupervised machine learning?
Aapo Hyvärinen
cs.LGarXiv:2610.11697v12026Sera: Semantic Representation Aggregation for Reliable and Interpretable Battery Health Forecasting
Jiawei Li, Fang Liu, Wei Zhang +3
cs.LGcs.AIarXiv:2610.11567v12026AgentHorizon: Evaluating Agentic Judges for Long-Horizon Computer-Use Tasks
Xing Han Lù, Dheeraj Vattikonda, Sina Hajimiri +7
cs.AIcs.LGarXiv:2610.11050v12026The FLUXCOM ensemble of global land-atmosphere energy fluxes
Martin Jung, Sujan Koirala, Ulrich Weber +7
physics.ao-phcs.LGstat.MLarXiv:1812.04951v12018Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks
Avi Schwarzschild, Eitan Borgnia, Arjun Gupta +4
cs.LGcs.AIarXiv:2106.04537v22021Categorizing Bugs with Social Networks: A Case Study on Four Open Source Software Communities
Marcelo Serrano Zanetti, Ingo Scholtes, Claudio Juan Tessone +1
cs.SEcs.LGcs.SIarXiv:1302.6764v22013General Semantic Knowledge Infusion for Spatio-Temporal Traffic Forecasting
Mattis thor Straten, Yannick Wolker, Steffen Strohm +3
cs.LGarXiv:2608.17440v12026Your Model Already Knows Don't Teach It, Learn to Ask It: Soft Prompting for Few-Shot Adaptation of Vision-Language Models
Gautam Rajendrakumar Gare, Siyi Li, Hewei Wang +5
cs.CVcs.AIcs.LGarXiv:2609.11310v12026CatchBench: When Can an Agent Failure Be Caught?
Yue Zhao
cs.LGcs.MAcs.PFarXiv:2608.22808v12026Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges
Chenhang Cui, Yiyang Zhou, Xinyu Yang +4
cs.LGcs.CLcs.CVarXiv:2311.03287v22023N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding
Ryan McConville, Raul Santos-Rodriguez, Robert J Piechocki +1
cs.LGstat.MLarXiv:1908.05968v62019FINESSE: An Agent-Based Simulator and Benchmark Dataset for Multimodal Financial Event Sequences
Tyler Farnan, Benjamin Eng, Adam Abate +4
cs.LGarXiv:2609.11993v12026EMR-Merging: Tuning-Free High-Performance Model Merging
Chenyu Huang, Peng Ye, Tao Chen +3
cs.LGcs.CVarXiv:2405.17461v22024Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques
Utsha Roy, Mst. Sazia Tahosin, Md. Mahedi Hassan +6
cs.CLcs.LGarXiv:2404.01345v12024How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions
Lorenzo Pacchiardi, Alex J. Chan, Sören Mindermann +5
cs.CLcs.AIcs.LGarXiv:2309.15840v12023Workhorse: Learning Robust Whole-Body Humanoid Loco-Manipulation from Human Data
Songbo Hu, Qiayuan Liao, Yufeng Chi +4
cs.ROcs.LGarXiv:2610.09117v12026