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Academic · 1 min

Hierarchical SVG Tokenization: Learning Compact Visual Programs for Scalable Vector Graphics Modeling

arXiv:2604.05072v1 Announce Type: new Abstract: Recent large language models have shifted SVG generation from differentiable rendering optimization to autoregressive program synthesis. However, existing approaches still …

Ximing Xing, Ziteng Xue, Zhenxi Li, Weicong Liang, Linqing Wang, Zhantao Yang, Tiankai Hang, Zijin Yin, Qinglin Lu, Chunyu Wang, Qian Yu

33 views Apr 8

Academic · 1 min

Towards Effective In-context Cross-domain Knowledge Transfer via Domain-invariant-neurons-based Retrieval

arXiv:2604.05383v1 Announce Type: new Abstract: Large language models (LLMs) have made notable progress in logical reasoning, yet still fall short of human-level performance. Current boosting …

Jianzhi Yan, Zhiming Li, Le Liu, Zike Yuan, Shiwei Chen, Youcheng Pan, Buzhou Tang, Yang Xiang, Danny Dongning Sun

25 views Apr 8

Academic · 1 min

LMI-Net: Linear Matrix Inequality--Constrained Neural Networks via Differentiable Projection Layers

arXiv:2604.05374v1 Announce Type: new Abstract: Linear matrix inequalities (LMIs) have played a central role in certifying stability, robustness, and forward invariance of dynamical systems. Despite …

Sunbochen Tang, Andrea Goertzen, Navid Azizan

78 views Apr 8

Academic · 1 min

From Governance Norms to Enforceable Controls: A Layered Translation Method for Runtime Guardrails in Agentic …

arXiv:2604.05229v1 Announce Type: new Abstract: Agentic AI systems plan, use tools, maintain state, and produce multi-step trajectories with external effects. Those properties create a governance …

Christopher Koch

61 views Apr 8

Academic · 1 min

PRISM-MCTS: Learning from Reasoning Trajectories with Metacognitive Reflection

arXiv:2604.05424v1 Announce Type: new Abstract: PRISM-MCTS: Learning from Reasoning Trajectories with Metacognitive Reflection Siyuan Cheng, Bozhong Tian, Yanchao Hao, Zheng Wei Published: 06 Apr 2026, …

Siyuan Cheng, Bozhong Tian, YanChao Hao, Zheng Wei

24 views Apr 8

Academic · 1 min

The Illusion of Latent Generalization: Bi-directionality and the Reversal Curse

arXiv:2604.04943v1 Announce Type: new Abstract: The reversal curse describes a failure of autoregressive language models to retrieve a fact in reverse order (e.g., training on …

Julian Coda-Forno, Jane X. Wang, Arslan Chaudhry

24 views Apr 8

Academic · 1 min

Vehicle-as-Prompt: A Unified Deep Reinforcement Learning Framework for Heterogeneous Fleet Vehicle Routing Problem

arXiv:2604.05195v1 Announce Type: new Abstract: Unlike traditional homogeneous routing problems, the Heterogeneous Fleet Vehicle Routing Problem (HFVRP) involves heterogeneous fixed costs, variable travel costs, and …

Shihong Huang, Shengjie Wang, Lei Gao, Hong Ma, Zhanluo Zhang, Feng Zhang, Weihua Zhou

35 views Apr 8

Academic · 1 min

ReVEL: Multi-Turn Reflective LLM-Guided Heuristic Evolution via Structured Performance Feedback

arXiv:2604.04940v1 Announce Type: new Abstract: Designing effective heuristics for NP-hard combinatorial optimization problems remains a challenging and expertise-intensive task. Existing applications of large language models …

Cuong Van Duc, Minh Nguyen Dinh Tuan, Tam Vu Duc, Tung Vu Duy, Son Nguyen Van, Hanh Nguyen Thi, Binh Huynh Thi Thanh

24 views Apr 8

Academic · 1 min

TFRBench: A Reasoning Benchmark for Evaluating Forecasting Systems

arXiv:2604.05364v1 Announce Type: new Abstract: We introduce TFRBench, the first benchmark designed to evaluate the reasoning capabilities of forecasting systems. Traditionally, time-series forecasting has been …

Md Atik Ahamed, Mihir Parmar, Palash Goyal, Yiwen Song, Long T. Le, Qiang Cheng, Chun-Liang Li, Hamid Palangi, Jinsung Yoon, Tomas Pfister

27 views Apr 8

Academic · 1 min

Expectation Maximization (EM) Converges for General Agnostic Mixtures

arXiv:2604.05842v1 Announce Type: new Abstract: Mixture of linear regression is well studied in statistics and machine learning, where the data points are generated probabilistically using …

Avishek Ghosh

59 views Apr 8

Academic · 1 min

Energy-Based Dynamical Models for Neurocomputation, Learning, and Optimization

arXiv:2604.05042v1 Announce Type: new Abstract: Recent advances at the intersection of control theory, neuroscience, and machine learning have revealed novel mechanisms by which dynamical systems …

Arthur N. Montanari, Francesco Bullo, Dmitry Krotov, Adilson E. Motter

40 views Apr 8

Academic · 1 min

ICR-Drive: Instruction Counterfactual Robustness for End-to-End Language-Driven Autonomous Driving

arXiv:2604.05378v1 Announce Type: new Abstract: Recent progress in vision-language-action (VLA) models has enabled language-conditioned driving agents to execute natural-language navigation commands in closed-loop simulation, yet …

Kaiser Hamid, Can Cui, Nade Liang

37 views Apr 8

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Articles

Hierarchical SVG Tokenization: Learning Compact Visual Programs for Scalable Vector Graphics Modeling

Towards Effective In-context Cross-domain Knowledge Transfer via Domain-invariant-neurons-based Retrieval

LMI-Net: Linear Matrix Inequality--Constrained Neural Networks via Differentiable Projection Layers

From Governance Norms to Enforceable Controls: A Layered Translation Method for Runtime Guardrails in Agentic …

PRISM-MCTS: Learning from Reasoning Trajectories with Metacognitive Reflection

The Illusion of Latent Generalization: Bi-directionality and the Reversal Curse

Vehicle-as-Prompt: A Unified Deep Reinforcement Learning Framework for Heterogeneous Fleet Vehicle Routing Problem

ReVEL: Multi-Turn Reflective LLM-Guided Heuristic Evolution via Structured Performance Feedback

TFRBench: A Reasoning Benchmark for Evaluating Forecasting Systems

Expectation Maximization (EM) Converges for General Agnostic Mixtures

Energy-Based Dynamical Models for Neurocomputation, Learning, and Optimization

ICR-Drive: Instruction Counterfactual Robustness for End-to-End Language-Driven Autonomous Driving

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