Academic

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Academic · 1 min

Your Agent is More Brittle Than You Think: Uncovering Indirect Injection Vulnerabilities in Agentic LLMs

arXiv:2604.03870v1 Announce Type: new Abstract: The rapid deployment of open-source frameworks has significantly advanced the development of modern multi-agent systems. However, expanded action spaces, including …

Wenhui Zhu, Xuanzhao Dong, Xiwen Chen, Rui Cai, Peijie Qiu, Zhipeng Wang, Oana Frunza, Shao Tang, Jindong Gu, Yalin Wang

5 views Apr 7

Academic · 1 min

POEMetric: The Last Stanza of Humanity

arXiv:2604.03695v1 Announce Type: new Abstract: Large Language Models (LLMs) can compose poetry, but how far are they from human poets? In this paper, we introduce …

Bingru Li, Han Wang, Hazel Wilkinson

5 views Apr 7

Academic · 1 min

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling

arXiv:2604.04250v1 Announce Type: new Abstract: Modern Large Language Models (LLMs) rely on Transformer self-attention, which scales quadratically with sequence length. Recent linear-time alternatives, like State …

Dejan \v{C}ugalj, Aleksandar Jevremovic

6 views Apr 7

Academic · 1 min

AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals in Government …

arXiv:2604.03672v1 Announce Type: new Abstract: Government agencies worldwide face growing volumes of citizen appeals, with electronic submissions increasing significantly over recent years. Traditional manual processing …

Vladimir Beskorovainyi

7 views Apr 7

Academic · 1 min

Personality Requires Struggle: Three Regimes of the Baldwin Effect in Neuroevolved Chess Agents

arXiv:2604.03565v1 Announce Type: new Abstract: Can lifetime learning expand behavioral diversity over evolutionary time, rather than collapsing it? Prior theory predicts that plasticity reduces variance …

Diego Armando Resendez Prado

17 views Apr 7

Academic · 1 min

Explainable Model Routing for Agentic Workflows

arXiv:2604.03527v1 Announce Type: new Abstract: Modern agentic workflows decompose complex tasks into specialized subtasks and route them to diverse models to minimize cost without sacrificing …

Mika Okamoto, Ansel Kaplan Erol, Mark Riedl

18 views Apr 7

Academic · 1 min

Single-agent vs. Multi-agents for Automated Video Analysis of On-Screen Collaborative Learning Behaviors

arXiv:2604.03631v1 Announce Type: new Abstract: On-screen learning behavior provides valuable insights into how students seek, use, and create information during learning. Analyzing on-screen behavioral engagement …

Likai Peng, Shihui Feng

4 views Apr 7

Academic · 1 min

'Layer su Layer': Identifying and Disambiguating the Italian NPN Construction in BERT's family

arXiv:2604.03673v1 Announce Type: new Abstract: Interpretability research has highlighted the importance of evaluating Pretrained Language Models (PLMs) and in particular contextual embeddings against explicit linguistic …

Greta Gorzoni, Ludovica Pannitto, Francesca Masini

17 views Apr 7

Academic · 1 min

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

arXiv:2604.04177v1 Announce Type: new Abstract: As large language models (LLMs) are increasing integrated into fact-checking pipelines, formal logic is often proposed as a rigorous means …

Jason Chan, Robert Gaizauskas, Zhixue Zhao

5 views Apr 7

Academic · 1 min

Rashomon Memory: Towards Argumentation-Driven Retrieval for Multi-Perspective Agent Memory

arXiv:2604.03588v1 Announce Type: new Abstract: AI agents operating over extended time horizons accumulate experiences that serve multiple concurrent goals, and must often maintain conflicting interpretations …

Albert Sadowski, Jaros{\l}aw A. Chudziak

4 views Apr 7

Academic · 1 min

Towards Intelligent Energy Security: A Unified Spatio-Temporal and Graph Learning Framework for Scalable Electricity Theft …

arXiv:2604.03344v1 Announce Type: new Abstract: Electricity theft and non-technical losses (NTLs) remain critical challenges in modern smart grids, causing significant economic losses and compromising grid …

AbdulQoyum A. Olowookere, Usman A. Oguntola, Ebenezer. Leke Odekanle, Maridiyah A. Madehin, Aisha A. Adesope

5 views Apr 7

Academic · 1 min

Scalable Variational Bayesian Fine-Tuning of LLMs via Orthogonalized Low-Rank Adapters

arXiv:2604.03388v1 Announce Type: new Abstract: When deploying large language models (LLMs) to safety-critical applications, uncertainty quantification (UQ) is of utmost importance to self-assess the reliability …

Haotian Xiang, Bingcong Li, Qin Lu

13 views Apr 7

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Academic

Your Agent is More Brittle Than You Think: Uncovering Indirect Injection Vulnerabilities in Agentic LLMs

POEMetric: The Last Stanza of Humanity

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling

AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals in Government …

Personality Requires Struggle: Three Regimes of the Baldwin Effect in Neuroevolved Chess Agents

Explainable Model Routing for Agentic Workflows

Single-agent vs. Multi-agents for Automated Video Analysis of On-Screen Collaborative Learning Behaviors

'Layer su Layer': Identifying and Disambiguating the Italian NPN Construction in BERT's family

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

Rashomon Memory: Towards Argumentation-Driven Retrieval for Multi-Perspective Agent Memory

Towards Intelligent Energy Security: A Unified Spatio-Temporal and Graph Learning Framework for Scalable Electricity Theft …

Scalable Variational Bayesian Fine-Tuning of LLMs via Orthogonalized Low-Rank Adapters

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