Core AI

Large Language Models

Deep dives into GPT, Claude, Gemini, Llama and the transformers powering modern AI

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LLM Foundations

Explain how transformers generate text

Write zero-shot and few-shot prompts

LLM Engineering

Call LLM APIs with function/tool use

Fine-tuning LLMs

Prepare fine-tuning datasets

Multimodal LLMs

Use GPT-4V / Claude Vision for image understanding

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ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w 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 4w 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 4w 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 4w 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 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w 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 4w 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 4w 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 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w 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 4w 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 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w 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 4w 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 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w 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 4w 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

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Self Paced Gaussian Contextual Reinforcement Learning

arXiv:2603.23755v1 Announce Type: cross Abstract: Curriculum learning improves reinforcement learning (RL) efficiency by sequencing tasks from simple to complex

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Human-in-the-Loop Pareto Optimization: Trade-off Characterization for Assist-as-Needed Training and Performance Evaluation

arXiv:2603.23777v1 Announce Type: cross Abstract: During human motor skill training and physical rehabilitation, there is an inherent trade-off between task dif

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Probabilistic Geometric Alignment via Bayesian Latent Transport for Domain-Adaptive Foundation Models

arXiv:2603.23783v2 Announce Type: cross Abstract: Adapting large-scale foundation models to new domains with limited supervision remains a fundamental challenge

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

The Cognitive Firewall:Securing Browser Based AI Agents Against Indirect Prompt Injection Via Hybrid Edge Cloud Defense

arXiv:2603.23791v1 Announce Type: cross Abstract: Deploying large language models (LLMs) as autonomous browser agents exposes a significant attack surface in th

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection

arXiv:2603.23800v1 Announce Type: cross Abstract: We present a novel LLM-informed model-based planning framework, and a novel prompt selection method, for objec

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Deep Neural Regression Collapse

arXiv:2603.23805v1 Announce Type: cross Abstract: Neural Collapse is a phenomenon that helps identify sparse and low rank structures in deep classifiers. Recent

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Willful Disobedience: Automatically Detecting Failures in Agentic Traces

arXiv:2603.23806v1 Announce Type: cross Abstract: AI agents are increasingly embedded in real software systems, where they execute multi-step workflows through

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Perturbation: A simple and efficient adversarial tracer for representation learning in language models

arXiv:2603.23821v1 Announce Type: cross Abstract: Linguistic representation learning in deep neural language models (LMs) has been studied for decades, for both

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Circuit Complexity of Hierarchical Knowledge Tracing and Implications for Log-Precision Transformers

arXiv:2603.23823v1 Announce Type: cross Abstract: Knowledge tracing models mastery over interconnected concepts, often organized by prerequisites. We analyze hi

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

PoliticsBench: Benchmarking Political Values in Large Language Models with Multi-Turn Roleplay

arXiv:2603.23841v1 Announce Type: cross Abstract: While Large Language Models (LLMs) are increasingly used as primary sources of information, their potential fo

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Generative AI User Experience: Developing Human--AI Epistemic Partnership

arXiv:2603.23863v1 Announce Type: cross Abstract: Generative AI (GenAI) has rapidly entered education, yet its user experience is often explained through adopti

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Can VLMs Reason Robustly? A Neuro-Symbolic Investigation

arXiv:2603.23867v1 Announce Type: cross Abstract: Vision-Language Models (VLMs) have been applied to a wide range of reasoning tasks, yet it remains unclear whe

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

HDPO: Hybrid Distillation Policy Optimization via Privileged Self-Distillation

arXiv:2603.23871v1 Announce Type: cross Abstract: Large language models trained with reinforcement learning (RL) for mathematical reasoning face a fundamental c

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

The Luna Bound Propagator for Formal Analysis of Neural Networks

arXiv:2603.23878v1 Announce Type: cross Abstract: The parameterized CROWN analysis, a.k.a., alpha-CROWN, has emerged as a practically successful bound propagati

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Latent Bias Alignment for High-Fidelity Diffusion Inversion in Real-World Image Reconstruction and Manipulation

arXiv:2603.23903v1 Announce Type: cross Abstract: Recent research has shown that text-to-image diffusion models are capable of generating high-quality images gu

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Self-Distillation for Multi-Token Prediction

arXiv:2603.23911v1 Announce Type: cross Abstract: As Large Language Models (LLMs) scale up, inference efficiency becomes a critical bottleneck. Multi-Token Pred

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

DecepGPT: Schema-Driven Deception Detection with Multicultural Datasets and Robust Multimodal Learning

arXiv:2603.23916v1 Announce Type: cross Abstract: Multimodal deception detection aims to identify deceptive behavior by analyzing audiovisual cues for forensics

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Policy-Guided Threat Hunting: An LLM enabled Framework with Splunk SOC Triage

arXiv:2603.23966v1 Announce Type: cross Abstract: With frequently evolving Advanced Persistent Threats (APTs) in cyberspace, traditional security solutions appr

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

The Price Reversal Phenomenon: When Cheaper Reasoning Models End Up Costing More

arXiv:2603.23971v1 Announce Type: cross Abstract: Developers and consumers increasingly choose reasoning language models (RLMs) based on their listed API prices

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

From Untamed Black Box to Interpretable Pedagogical Orchestration: The Ensemble of Specialized LLMs Architecture for Adaptive Tutoring

arXiv:2603.23990v1 Announce Type: cross Abstract: Monolithic Large Language Models (LLMs) used in educational dialogue often behave as "black boxes," where peda

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Understanding the Challenges in Iterative Generative Optimization with LLMs

arXiv:2603.23994v1 Announce Type: cross Abstract: Generative optimization uses large language models (LLMs) to iteratively improve artifacts (such as code, work

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Schema on the Inside: A Two-Phase Fine-Tuning Method for High-Efficiency Text-to-SQL at Scale

arXiv:2603.24023v1 Announce Type: cross Abstract: Applying large, proprietary API-based language models to text-to-SQL tasks poses a significant industry challe

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

From Oracle to Noisy Context: Mitigating Contextual Exposure Bias in Speech-LLMs

arXiv:2603.24034v1 Announce Type: cross Abstract: Contextual automatic speech recognition (ASR) with Speech-LLMs is typically trained with oracle conversation h

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Mitigating Object Hallucinations in LVLMs via Attention Imbalance Rectification

arXiv:2603.24058v1 Announce Type: cross Abstract: Object hallucination in Large Vision-Language Models (LVLMs) severely compromises their reliability in real-wo

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigm

arXiv:2603.24079v1 Announce Type: cross Abstract: Recently, multimodal large language models (MLLMs) have emerged as a unified paradigm for language and image g

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning

arXiv:2603.24083v1 Announce Type: cross Abstract: This paper introduces Knowledge Graph based Massively Multi-task Model-based Policy Optimization (KG-M3PO), a

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Towards Effective Experiential Learning: Dual Guidance for Utilization and Internalization

arXiv:2603.24093v1 Announce Type: cross Abstract: Recently, reinforcement learning~(RL) has become an important approach for improving the capabilities of large

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

The Alignment Tax: Response Homogenization in Aligned LLMs and Its Implications for Uncertainty Estimation

arXiv:2603.24124v1 Announce Type: cross Abstract: RLHF-aligned language models exhibit response homogenization: on TruthfulQA (n=790), 40-79% of questions produ

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

MedAidDialog: A Multilingual Multi-Turn Medical Dialogue Dataset for Accessible Healthcare

arXiv:2603.24132v1 Announce Type: cross Abstract: Conversational artificial intelligence has the potential to assist users in preliminary medical consultations,

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

A Deep Dive into Scaling RL for Code Generation with Synthetic Data and Curricula

arXiv:2603.24202v1 Announce Type: cross Abstract: Reinforcement learning (RL) has emerged as a powerful paradigm for improving large language models beyond supe

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Invisible Threats from Model Context Protocol: Generating Stealthy Injection Payload via Tree-based Adaptive Search

arXiv:2603.24203v1 Announce Type: cross Abstract: Recent advances in the Model Context Protocol (MCP) have enabled large language models (LLMs) to invoke extern

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Powerful Teachers Matter: Text-Guided Multi-view Knowledge Distillation with Visual Prior Enhancement

arXiv:2603.24208v1 Announce Type: cross Abstract: Knowledge distillation transfers knowledge from large teacher models to smaller students for efficient inferen

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Uncovering Memorization in Timeseries Imputation models: LBRM Membership Inference and its link to attribute Leakage

arXiv:2603.24213v1 Announce Type: cross Abstract: Deep learning models for time series imputation are now essential in fields such as healthcare, the Internet o

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Who Benefits from RAG? The Role of Exposure, Utility and Attribution Bias

arXiv:2603.24218v1 Announce Type: cross Abstract: Large Language Models (LLMs) enhanced with Retrieval-Augmented Generation (RAG) have achieved substantial impr

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 4w ago

Environment-Grounded Multi-Agent Workflow for Autonomous Penetration Testing

arXiv:2603.24221v1 Announce Type: cross Abstract: The increasing complexity and interconnectivity of digital infrastructures make scalable and reliable security