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ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 6d ago

CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective Training

arXiv:2603.23559v1 Announce Type: cross Abstract: GUI agents are rapidly shifting from multi-module pipelines to end-to-end, native vision-language models (VLMs

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 6d ago

Synthetic Mixed Training: Scaling Parametric Knowledge Acquisition Beyond RAG

arXiv:2603.23562v1 Announce Type: cross Abstract: Synthetic data augmentation helps language models learn new knowledge in data-constrained domains. However, na

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 6d ago

Safe Reinforcement Learning with Preference-based Constraint Inference

arXiv:2603.23565v1 Announce Type: cross Abstract: Safe reinforcement learning (RL) is a standard paradigm for safety-critical decision making. However, real-wor

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 6d ago

AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization

arXiv:2603.23566v1 Announce Type: cross Abstract: AscendC (Ascend C) operator optimization on Huawei Ascend neural processing units (NPUs) faces a two-fold know

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 6d ago

StateLinFormer: Stateful Training Enhancing Long-term Memory in Navigation

arXiv:2603.23571v1 Announce Type: cross Abstract: Effective navigation intelligence relies on long-term memory to support both immediate generalization and sust

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 6d ago

Dual-Criterion Curriculum Learning: Application to Temporal Data

arXiv:2603.23573v1 Announce Type: cross Abstract: Curriculum Learning (CL) is a meta-learning paradigm that trains a model by feeding the data instances increme

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 6d ago

PoiCGAN: A Targeted Poisoning Based on Feature-Label Joint Perturbation in Federated Learning

arXiv:2603.23574v1 Announce Type: cross Abstract: Federated Learning (FL), as a popular distributed learning paradigm, has shown outstanding performance in impr

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 6d ago

APreQEL: Adaptive Mixed Precision Quantization For Edge LLMs

arXiv:2603.23575v1 Announce Type: cross Abstract: Today, large language models have demonstrated their strengths in various tasks ranging from reasoning, code g

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 6d ago

Wafer-Level Etch Spatial Profiling for Process Monitoring from Time-Series with Time-LLM

arXiv:2603.23576v1 Announce Type: cross Abstract: Understanding wafer-level spatial variations from in-situ process signals is essential for advanced plasma etc

ArXiv cs.AI 📄 Paper ⚡ AI Lesson 6d ago

AI Generalisation Gap In Comorbid Sleep Disorder Staging

arXiv:2603.23582v1 Announce Type: cross Abstract: Accurate sleep staging is essential for diagnosing OSA and hypopnea in stroke patients. Although PSG is reliab

ArXiv cs.AI 📄 Paper ⚡ AI Lesson 6d ago

LineMVGNN: Anti-Money Laundering with Line-Graph-Assisted Multi-View Graph Neural Networks

arXiv:2603.23584v1 Announce Type: cross Abstract: Anti-money laundering (AML) systems are important for protecting the global economy. However, conventional rul

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 6d ago

LLMORPH: Automated Metamorphic Testing of Large Language Models

arXiv:2603.23611v1 Announce Type: cross Abstract: Automated testing is essential for evaluating and improving the reliability of Large Language Models (LLMs), y

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 6d ago

LLMLOOP: Improving LLM-Generated Code and Tests through Automated Iterative Feedback Loops

arXiv:2603.23613v1 Announce Type: cross Abstract: Large Language Models (LLMs) are showing remarkable performance in generating source code, yet the generated c

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 6d ago

A Theory of LLM Information Susceptibility

arXiv:2603.23626v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed as optimization modules in agentic systems, yet the fun

ArXiv cs.AI 📄 Paper ⚡ AI Lesson 6d ago

Ukrainian Visual Word Sense Disambiguation Benchmark

arXiv:2603.23627v1 Announce Type: cross Abstract: This study presents a benchmark for evaluating the Visual Word Sense Disambiguation (Visual-WSD) task in Ukrai

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 6d ago

Swiss-Bench SBP-002: A Frontier Model Comparison on Swiss Legal and Regulatory Tasks

arXiv:2603.23646v1 Announce Type: cross Abstract: While recent work has benchmarked large language models on Swiss legal translation (Niklaus et al., 2025) and

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 6d ago

Probing Ethical Framework Representations in Large Language Models: Structure, Entanglement, and Methodological Challenges

arXiv:2603.23659v1 Announce Type: cross Abstract: When large language models make ethical judgments, do their internal representations distinguish between norma

ArXiv cs.AI 📄 Paper ⚡ AI Lesson 6d ago

Echoes: A semantically-aligned music deepfake detection dataset

arXiv:2603.23667v1 Announce Type: cross Abstract: We introduce Echoes, a new dataset for music deepfake detection designed for training and benchmarking detecto

ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 6d ago

Estimating Individual Tree Height and Species from UAV Imagery

arXiv:2603.23669v1 Announce Type: cross Abstract: Accurate estimation of forest biomass, a major carbon sink, relies heavily on tree-level traits such as height

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 6d ago

Prototype Fusion: A Training-Free Multi-Layer Approach to OOD Detection

arXiv:2603.23677v1 Announce Type: cross Abstract: Deep learning models are increasingly deployed in safety-critical applications, where reliable out-of-distribu

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 6d ago

PLACID: Privacy-preserving Large language models for Acronym Clinical Inference and Disambiguation

arXiv:2603.23678v1 Announce Type: cross Abstract: Large Language Models (LLMs) offer transformative solutions across many domains, but healthcare integration is

ArXiv cs.AI 📄 Paper ⚡ AI Lesson 6d ago

Learning What Can Be Picked: Active Reachability Estimation for Efficient Robotic Fruit Harvesting

arXiv:2603.23679v1 Announce Type: cross Abstract: Agriculture remains a cornerstone of global health and economic sustainability, yet labor-intensive tasks such

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 6d ago

Assessment Design in the AI Era: A Method for Identifying Items Functioning Differentially for Humans and Chatbots

arXiv:2603.23682v1 Announce Type: cross Abstract: The rapid adoption of large language models (LLMs) in education raises profound challenges for assessment desi

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 6d ago

The Diminishing Returns of Early-Exit Decoding in Modern LLMs

arXiv:2603.23701v1 Announce Type: cross Abstract: In Large Language Model (LLM) inference, early-exit refers to stopping computation at an intermediate layer on

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