Tag: cs.LG

#cs.LG

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Academic · 1 min

$S^3$: Stratified Scaling Search for Test-Time in Diffusion Language Models

arXiv:2604.06260v1 Announce Type: new Abstract: Test-time scaling investigates whether a fixed diffusion language model (DLM) can generate better outputs when given more inference compute, without …

Ahsan Bilal, Muhammad Ahmed Mohsin, Muhammad Umer, Asad Aali, Muhammad Usman Khanzada, Muhammad Usman Rafique, Zihao He, Emily Fox, Dean F. Hougen

55 views Apr 9

Academic · 1 min

SubFLOT: Submodel Extraction for Efficient and Personalized Federated Learning via Optimal Transport

arXiv:2604.06631v1 Announce Type: new Abstract: Federated Learning (FL) enables collaborative model training while preserving data privacy, but its practical deployment is hampered by system and …

Zheng Jiang, Nan He, Yiming Chen, Lifeng Sun

68 views Apr 9

Academic · 1 min

Improving Robustness In Sparse Autoencoders via Masked Regularization

arXiv:2604.06495v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) are widely used in mechanistic interpretability to project LLM activations onto sparse latent spaces. However, sparsity alone …

Vivek Narayanaswamy, Kowshik Thopalli, Bhavya Kailkhura, Wesam Sakla

62 views Apr 9

Academic · 1 min

AgentOpt v0.1 Technical Report: Client-Side Optimization for LLM-Based Agent

arXiv:2604.06296v1 Announce Type: new Abstract: AI agents are increasingly deployed in real-world applications, including systems such as Manus, OpenClaw, and coding agents. Existing research has …

Wenyue Hua, Sripad Karne, Qian Xie, Armaan Agrawal, Nikos Pagonas, Kostis Kaffes, Tianyi Peng

62 views Apr 9

Academic · 1 min

The Detection--Extraction Gap: Models Know the Answer Before They Can Say It

arXiv:2604.06613v1 Announce Type: new Abstract: Modern reasoning models continue generating long after the answer is already determined. Across five model configurations, two families, and three …

Hanyang Wang, Mingxuan Zhu

66 views Apr 9

Academic · 1 min

LLM-based Schema-Guided Extraction and Validation of Missing-Person Intelligence from Heterogeneous Data Sources

arXiv:2604.06571v1 Announce Type: new Abstract: Missing-person and child-safety investigations rely on heterogeneous case documents, including structured forms, bulletin-style posters, and narrative web profiles. Variations in …

Joshua Castillo, Ravi Mukkamala

47 views Apr 9

Academic · 1 min

Extraction of linearized models from pre-trained networks via knowledge distillation

arXiv:2604.06732v1 Announce Type: new Abstract: Recent developments in hardware, such as photonic integrated circuits and optical devices, are driving demand for research on constructing machine …

Fumito Kimura, Jun Ohkubo

84 views Apr 9

Academic · 1 min

FlowAdam: Implicit Regularization via Geometry-Aware Soft Momentum Injection

arXiv:2604.06652v1 Announce Type: new Abstract: Adaptive moment methods such as Adam use a diagonal, coordinate-wise preconditioner based on exponential moving averages of squared gradients. This …

Devender Singh, Tarun Sheel

55 views Apr 9

Academic · 1 min

PD-SOVNet: A Physics-Driven Second-Order Vibration Operator Network for Estimating Wheel Polygonal Roughness from Axle-Box Vibrations

arXiv:2604.06620v1 Announce Type: new Abstract: Quantitative estimation of wheel polygonal roughness from axle-box vibration signals is a challenging yet practically relevant problem for rail-vehicle condition …

Xiancheng Wang, Lin Wang, Rui Wang, Zhibo Zhang, Minghang Zhao, Xiaoheng Zhang, Zhongyue Tan, Kaitai Mao

59 views Apr 9

Academic · 1 min

The Illusion of Stochasticity in LLMs

arXiv:2604.06543v1 Announce Type: new Abstract: In this work, we demonstrate that reliable stochastic sampling is a fundamental yet unfulfilled requirement for Large Language Models (LLMs) …

Xiangming Gu, Soham De, Michalis Titsias, Larisa Markeeva, Petar Veli\v{c}kovi\'c, Razvan Pascanu

34 views Apr 9

Academic · 1 min

Quality-preserving Model for Electronics Production Quality Tests Reduction

arXiv:2604.06451v1 Announce Type: new Abstract: Manufacturing test flows in high-volume electronics production are typically fixed during product development and executed unchanged on every unit, even …

Noufa Haneefa, Teddy Lazebnik, Einav Peretz-Andersson

69 views Apr 9

Academic · 1 min

GraphWalker: Graph-Guided In-Context Learning for Clinical Reasoning on Electronic Health Records

arXiv:2604.06684v1 Announce Type: new Abstract: Clinical Reasoning on Electronic Health Records (EHRs) is a fundamental yet challenging task in modern healthcare. While in-context learning (ICL) …

Yue Fang, Weibin Liao, Yuxin Guo, Jiaran Gao, Hongxin Ding, Jinyang Zhang, Xinke Jiang, Zhibang Yang, Junfeng Zhao, Yasha Wang, Liantao Ma

54 views Apr 9

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#cs.LG

$S^3$: Stratified Scaling Search for Test-Time in Diffusion Language Models

SubFLOT: Submodel Extraction for Efficient and Personalized Federated Learning via Optimal Transport

Improving Robustness In Sparse Autoencoders via Masked Regularization

AgentOpt v0.1 Technical Report: Client-Side Optimization for LLM-Based Agent

The Detection--Extraction Gap: Models Know the Answer Before They Can Say It

LLM-based Schema-Guided Extraction and Validation of Missing-Person Intelligence from Heterogeneous Data Sources

Extraction of linearized models from pre-trained networks via knowledge distillation

FlowAdam: Implicit Regularization via Geometry-Aware Soft Momentum Injection

PD-SOVNet: A Physics-Driven Second-Order Vibration Operator Network for Estimating Wheel Polygonal Roughness from Axle-Box Vibrations

The Illusion of Stochasticity in LLMs

Quality-preserving Model for Electronics Production Quality Tests Reduction

GraphWalker: Graph-Guided In-Context Learning for Clinical Reasoning on Electronic Health Records

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