Academic

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Academic · 1 min

Reason Analogically via Cross-domain Prior Knowledge: An Empirical Study of Cross-domain Knowledge Transfer for In-Context …

arXiv:2604.05396v1 Announce Type: new Abstract: Despite its success, existing in-context learning (ICL) relies on in-domain expert demonstrations, limiting its applicability when expert annotations are scarce. …

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

62 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

36 views Apr 8

Academic · 1 min

Stop Fixating on Prompts: Reasoning Hijacking and Constraint Tightening for Red-Teaming LLM Agents

arXiv:2604.05549v1 Announce Type: new Abstract: With the widespread application of LLM-based agents across various domains, their complexity has introduced new security threats. Existing red-team methods …

Yanxu Mao, Peipei Liu, Tiehan Cui, Congying Liu, Mingzhe Xing, Datao You

32 views Apr 8

Academic · 1 min

LatentAudit: Real-Time White-Box Faithfulness Monitoring for Retrieval-Augmented Generation with Verifiable Deployment

arXiv:2604.05358v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) mitigates hallucination but does not eliminate it: a deployed system must still decide, at inference time, whether …

Zhe Yu, Wenpeng Xing, Meng Han

53 views Apr 8

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

34 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

26 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

79 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

25 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

28 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

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Academic

Reason Analogically via Cross-domain Prior Knowledge: An Empirical Study of Cross-domain Knowledge Transfer for In-Context …

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

Stop Fixating on Prompts: Reasoning Hijacking and Constraint Tightening for Red-Teaming LLM Agents

LatentAudit: Real-Time White-Box Faithfulness Monitoring for Retrieval-Augmented Generation with Verifiable Deployment

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

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

JCG, PC

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