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Academic · 1 min

TheraAgent: Multi-Agent Framework with Self-Evolving Memory and Evidence-Calibrated Reasoning for PET Theranostics

arXiv:2603.13676v1 Announce Type: new Abstract: PET theranostics is transforming precision oncology, yet treatment response varies substantially; many patients receiving 177Lu-PSMA radioligand therapy (RLT) for metastatic …

Zhihao Chen, Jiahui Wang, Yizhou Chen, Xiaozhong Ji, Xiaobin Hu, Jimin Hong, Wolfram Andreas Bosbach, Axel Rominger, Ali Afshar-Oromieh, Hongming Shan, Kuangyu Shi

4 views Mar 17

Academic · 1 min

GroupGuard: A Framework for Modeling and Defending Collusive Attacks in Multi-Agent Systems

arXiv:2603.13940v1 Announce Type: new Abstract: While large language model-based agents demonstrate great potential in collaborative tasks, their interactivity also introduces security vulnerabilities. In this paper, …

Yiling Tao, Xinran Zheng, Shuo Yang, Meiling Tao, Xingjun Wang

5 views Mar 17

Academic · 1 min

Distilling Deep Reinforcement Learning into Interpretable Fuzzy Rules: An Explainable AI Framework

arXiv:2603.13257v1 Announce Type: new Abstract: Deep Reinforcement Learning (DRL) agents achieve remarkable performance in continuous control but remain opaque, hindering deployment in safety-critical domains. Existing …

Sanup S. Araballi, Simon Khan, Chilukuri K. Mohan

4 views Mar 17

Academic · 1 min

MESD: Detecting and Mitigating Procedural Bias in Intersectional Groups

arXiv:2603.13452v1 Announce Type: new Abstract: Research about bias in machine learning has mostly focused on outcome-oriented fairness metrics (e.g., equalized odds) and on a single …

Gideon Popoola, John Sheppard

24 views Mar 17

Academic · 1 min

Traffic and weather driven hybrid digital twin for bridge monitoring

arXiv:2603.14028v1 Announce Type: new Abstract: A hybrid digital twin framework is presented for bridge condition monitoring using existing traffic cameras and weather APIs, reducing reliance …

Phani Raja Bharath Balijepalli, Bulent Soykan, Veeraraghava Raju Hasti

31 views Mar 17

Academic · 1 min

A Systematic Evaluation Protocol of Graph-Derived Signals for Tabular Machine Learning

arXiv:2603.13998v1 Announce Type: new Abstract: While graph-derived signals are widely used in tabular learning, existing studies typically rely on limited experimental setups and average performance …

Mario Heidrich, Jeffrey Heidemann, R\"udiger Buchkremer, Gonzalo Wandosell Fern\'andez de Bobadilla

13 views Mar 17

Academic · 1 min

Early Rug Pull Warning for BSC Meme Tokens via Multi-Granularity Wash-Trading Pattern Profiling

arXiv:2603.13830v1 Announce Type: new Abstract: The high-frequency issuance and short-cycle speculation of meme tokens in decentralized finance (DeFi) have significantly amplified rug-pull risk. Existing approaches …

Dingding Cao, Bianbian Jiao, Jingzong Yang, Yujing Zhong, Wei Yang

22 views Mar 17

Academic · 1 min

Knowledge Distillation for Large Language Models

arXiv:2603.13765v1 Announce Type: new Abstract: We propose a resource-efficient framework for compressing large language models through knowledge distillation, combined with guided chain-of-thought reinforcement learning. Using …

Alejandro Paredes La Torre, Barbara Flores, Diego Rodriguez

10 views Mar 17

Academic · 1 min

Multi-hop Reasoning and Retrieval in Embedding Space: Leveraging Large Language Models with Knowledge

arXiv:2603.13266v1 Announce Type: new Abstract: As large language models (LLMs) continue to grow in size, their abilities to tackle complex tasks have significantly improved. However, …

Lihui Liu

12 views Mar 17

Academic · 1 min

Deep Convolutional Architectures for EEG Classification: A Comparative Study with Temporal Augmentation and Confidence-Based Voting

arXiv:2603.13261v1 Announce Type: new Abstract: Electroencephalography (EEG) classification plays a key role in brain-computer interface (BCI) systems, yet it remains challenging due to the low …

Aryan Patodiya, Hubert Cecotti

15 views Mar 17

Academic · 1 min

Can We Trust LLMs on Memristors? Diving into Reasoning Ability under Non-Ideality

arXiv:2603.13725v1 Announce Type: new Abstract: Memristor-based analog compute-in-memory (CIM) architectures provide a promising substrate for the efficient deployment of Large Language Models (LLMs), owing to …

Taiqiang Wu, Yuxin Cheng, Chenchen Ding, Runming Yang, Xincheng Feng, Wenyong Zhou, Zhengwu Liu, Ngai Wong

11 views Mar 17

Academic · 1 min

PMIScore: An Unsupervised Approach to Quantify Dialogue Engagement

arXiv:2603.13796v1 Announce Type: new Abstract: High dialogue engagement is a crucial indicator of an effective conversation. A reliable measure of engagement could help benchmark large …

Yongkang Guo, Zhihuan Huang, Yuqing Kong

22 views Mar 17

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Articles

TheraAgent: Multi-Agent Framework with Self-Evolving Memory and Evidence-Calibrated Reasoning for PET Theranostics

GroupGuard: A Framework for Modeling and Defending Collusive Attacks in Multi-Agent Systems

Distilling Deep Reinforcement Learning into Interpretable Fuzzy Rules: An Explainable AI Framework

MESD: Detecting and Mitigating Procedural Bias in Intersectional Groups

Traffic and weather driven hybrid digital twin for bridge monitoring

A Systematic Evaluation Protocol of Graph-Derived Signals for Tabular Machine Learning

Early Rug Pull Warning for BSC Meme Tokens via Multi-Granularity Wash-Trading Pattern Profiling

Knowledge Distillation for Large Language Models

Multi-hop Reasoning and Retrieval in Embedding Space: Leveraging Large Language Models with Knowledge

Deep Convolutional Architectures for EEG Classification: A Comparative Study with Temporal Augmentation and Confidence-Based Voting

Can We Trust LLMs on Memristors? Diving into Reasoning Ability under Non-Ideality

PMIScore: An Unsupervised Approach to Quantify Dialogue Engagement

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