Academic

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Academic · 1 min

Resource-constrained Amazons chess decision framework integrating large language models and graph attention

arXiv:2603.10512v1 Announce Type: new Abstract: Artificial intelligence has advanced significantly through the development of intelligent game-playing systems, providing rigorous testbeds for decision-making, strategic planning, and …

Tianhao Qian, Zhuoxuan Li, Jinde Cao, Xinli Shi, Hanjie Liu, Leszek Rutkowski

14 views Mar 12

Academic · 1 min

TAMUSA-Chat: A Domain-Adapted Large Language Model Conversational System for Research and Responsible Deployment

arXiv:2603.09992v1 Announce Type: cross Abstract: This paper presents TAMUSA-Chat, a research-oriented framework for building domain-adapted large language model conversational systems. The work addresses critical challenges …

Izzat Alsmadi, Anas Alsobeh

18 views Mar 12

Academic · 1 min

HEAL: Hindsight Entropy-Assisted Learning for Reasoning Distillation

arXiv:2603.10359v1 Announce Type: new Abstract: Distilling reasoning capabilities from Large Reasoning Models (LRMs) into smaller models is typically constrained by the limitation of rejection sampling. …

Wenjing Zhang, Jiangze Yan, Jieyun Huang, Yi Shen, Shuming Shi, Ping Chen, Ning Wang, Zhaoxiang Liu, Kai Wang, Shiguo Lian

17 views Mar 12

Academic · 1 min

One Model, Many Skills: Parameter-Efficient Fine-Tuning for Multitask Code Analysis

arXiv:2603.09978v1 Announce Type: cross Abstract: Large language models have recently surpassed specialized systems on code generation, yet their effectiveness on other code-analysis tasks remains less …

Amal Akli, Maxime Cordy, Mike Papadakis, Yves Le Traon

19 views Mar 12

Academic · 1 min

The Dunning-Kruger Effect in Large Language Models: An Empirical Study of Confidence Calibration

arXiv:2603.09985v1 Announce Type: cross Abstract: Large language models (LLMs) have demonstrated remarkable capabilities across diverse tasks, yet their ability to accurately assess their own confidence …

Sudipta Ghosh, Mrityunjoy Panday

12 views Mar 12

Academic · 1 min

Assessing Cognitive Biases in LLMs for Judicial Decision Support: Virtuous Victim and Halo Effects

arXiv:2603.10016v1 Announce Type: cross Abstract: We investigate whether large language models (LLMs) display human-like cognitive biases, focusing on potential implications for assistance in judicial sentencing, …

Sierra S. Liu

38 views Mar 12

Academic · 1 min

The System Hallucination Scale (SHS): A Minimal yet Effective Human-Centered Instrument for Evaluating Hallucination-Related Behavior …

arXiv:2603.09989v1 Announce Type: cross Abstract: We introduce the System Hallucination Scale (SHS), a lightweight and human-centered measurement instrument for assessing hallucination-related behavior in large language …

Heimo M\"uller, Dominik Steiger, Markus Plass, Andreas Holzinger

12 views Mar 12

Academic · 1 min

Quantifying Hallucinations in Language Language Models on Medical Textbooks

arXiv:2603.09986v1 Announce Type: cross Abstract: Hallucinations, the tendency for large language models to provide responses with factually incorrect and unsupported claims, is a serious problem …

Brandon C. Colelough, Davis Bartels, Dina Demner-Fushman

22 views Mar 12

Academic · 1 min

PoultryLeX-Net: Domain-Adaptive Dual-Stream Transformer Architecture for Large-Scale Poultry Stakeholder Modeling

arXiv:2603.09991v1 Announce Type: cross Abstract: The rapid growth of the global poultry industry, driven by rising demand for affordable animal protein, has intensified public discourse …

Stephen Afrifa, Biswash Khatiwada, Kapalik Khanal, Sanjay Shah, Lingjuan Wang-Li, Ramesh Bahadur Bist

12 views Mar 12

Academic · 1 min

A Hybrid Knowledge-Grounded Framework for Safety and Traceability in Prescription Verification

arXiv:2603.10891v1 Announce Type: new Abstract: Medication errors pose a significant threat to patient safety, making pharmacist verification (PV) a critical, yet heavily burdened, final safeguard. …

Yichi Zhu, Kan Ling, Xu Liu, Hengrun Zhang, Huiqun Yu, Guisheng Fan

28 views Mar 12

Academic · 1 min

SpreadsheetArena: Decomposing Preference in LLM Generation of Spreadsheet Workbooks

arXiv:2603.10002v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly tasked with producing and manipulating structured artifacts. We consider the task of end-to-end spreadsheet …

Srivatsa Kundurthy, Clara Na, Michael Handley, Zach Kirshner, Chen Bo Calvin Zhang, Manasi Sharma, Emma Strubell, John Ling

11 views Mar 12

Academic · 1 min

Explainable LLM Unlearning Through Reasoning

arXiv:2603.09980v1 Announce Type: cross Abstract: LLM unlearning is essential for mitigating safety, copyright, and privacy concerns in pre-trained large language models (LLMs). Compared to preference …

Junfeng Liao, Qizhou Wang, Shanshan Ye, Xin Yu, Ling Chen, Zhen Fang

19 views Mar 12

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Academic

Resource-constrained Amazons chess decision framework integrating large language models and graph attention

TAMUSA-Chat: A Domain-Adapted Large Language Model Conversational System for Research and Responsible Deployment

HEAL: Hindsight Entropy-Assisted Learning for Reasoning Distillation

One Model, Many Skills: Parameter-Efficient Fine-Tuning for Multitask Code Analysis

The Dunning-Kruger Effect in Large Language Models: An Empirical Study of Confidence Calibration

Assessing Cognitive Biases in LLMs for Judicial Decision Support: Virtuous Victim and Halo Effects

The System Hallucination Scale (SHS): A Minimal yet Effective Human-Centered Instrument for Evaluating Hallucination-Related Behavior …

Quantifying Hallucinations in Language Language Models on Medical Textbooks

PoultryLeX-Net: Domain-Adaptive Dual-Stream Transformer Architecture for Large-Scale Poultry Stakeholder Modeling

A Hybrid Knowledge-Grounded Framework for Safety and Traceability in Prescription Verification

SpreadsheetArena: Decomposing Preference in LLM Generation of Spreadsheet Workbooks

Explainable LLM Unlearning Through Reasoning

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