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 5d ago

meta-pipe: An LLM-agent pipeline for end-to-end automated systematic review and meta-analysis

arXiv:2606.28363v1 Announce Type: cross Abstract: Objective: To describe the architecture and design rationale of meta-pipe, an open-source large language model

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

CAMI: Cost-Aware Agent-Guided Multi-Indexing for Semantic Retrieval

arXiv:2606.28365v1 Announce Type: cross Abstract: RAG ingestion pipelines frequently augment search corpus index with semantic enrichment indices (e.g., synthet

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Beyond the Reranker: Do RAG Retrieval Enhancements Help Once a Strong Reranker Is Present?

arXiv:2606.28367v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) is routinely extended with methods meant to improve retrieval: query expa

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Multimodal and Multiscale Spatial-Temporal Semantic Search and Recommendation with AI Foundation Models

arXiv:2606.28369v1 Announce Type: cross Abstract: Semantic search and recommendation of similar documents, such as news and reports about unusual environmental

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Conversational Query Engine for Mixed-Modality Heterogeneous Enterprise Data Sources

arXiv:2606.28370v1 Announce Type: cross Abstract: Enterprise business intelligence queries span structured warehouses and unstructured document repositories --

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Model Merging to Evolution: Parameter Space Exploration for Expert Models

arXiv:2606.28373v1 Announce Type: cross Abstract: Model merging integrates the capabilities of multiple expert models to create strong models for multiple tasks

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

When Does Overlap Help? OSU-Mem and a Cell-Conditional Analysis of Trajectory Memory for LLM Agents

arXiv:2606.28376v1 Announce Type: cross Abstract: Long-horizon large language model (LLM) agents accumulate interaction trajectories that quickly exceed any pra

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Memory-Augmented LSTM Autoencoder for Unsupervised Activity Recognition with IMU Sensor Fusion

arXiv:2606.28377v1 Announce Type: cross Abstract: HAR using Inertial Measurement Unit (IMU) sensors is vital for healthcare monitoring and rehabilitation. Despi

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Schema-First Retrieval: Embedding Catalogs for Natural Language Analytics

arXiv:2606.28387v1 Announce Type: cross Abstract: Enterprise text-to-SQL systems often fail before SQL is generated: the model receives the wrong schema context

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Few-class Fidelity: Evaluating Explanations of Real-conditions CNN classifiers with Optimized Perturbations

arXiv:2606.28391v1 Announce Type: cross Abstract: The wide use of Convolutional Neural Networks (CNN) in numerous domains and real-world classification applicat

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

RADIANT-PET: Reasoning-Augmented PET/CT Lesion Segmentation with Large Language Models and Reinforcement Learning

arXiv:2606.28392v1 Announce Type: cross Abstract: Accurate lesion segmentation in PET/CT is critical for oncology, yet remains challenging because physiologic t

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

CLOSER-VLN: Closed-Loop Self-Verified Retrieval-Augmented Reasoning for Aerial Vision-Language Navigation

arXiv:2606.28397v1 Announce Type: cross Abstract: Vision-language navigation (VLN) has recently advanced with large language and multimodal models, enabling age

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Evidence-Driven LLM Agent for C-to-Synthesizable-C Conversion and Verification

arXiv:2606.28409v1 Announce Type: cross Abstract: Software-compilable C programs routinely fail to complete the four-stage pipeline of a high-level synthesis (H

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

RSGPNet: Geometric Prompting for Remote Sensing Open-Vocabulary Semantic Segmentation

arXiv:2606.28410v1 Announce Type: cross Abstract: Open-vocabulary semantic segmentation (OVSS) enables text-guided segmentation of unseen objects, breaking fixe

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

JuZhou 1.0 Technical Report: The First Edge-Native Text-to-Image Foundation Model Trained Entirely on China-Developed AI Accelerators

arXiv:2606.28421v1 Announce Type: cross Abstract: Text-to-image (T2I) diffusion models typically require substantial computational resources and cloud infrastru

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Tool Use Enables Undetectable Steganography in Multi-Agent LLM Systems

arXiv:2606.28425v1 Announce Type: cross Abstract: Increasingly autonomous agentic AI systems pose novel multi-agent risks, such as secret collusion via covert c

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Building to the Test: Coding Agents Deliver What You Check, Not What You Requested

arXiv:2606.28430v1 Announce Type: cross Abstract: Benchmarks are widely used to evaluate task completion by Large Language Models (LLMs), but this approach has

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs

arXiv:2606.28438v1 Announce Type: cross Abstract: Recursive self-training can degrade neural generative models when generated data is reused without fresh human

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Learning to Distributedly Estimate under Partially Known Dynamics: A Covariance-Agnostic Neural Kalman Consensus Filter

arXiv:2606.28441v1 Announce Type: cross Abstract: Online latent state estimation constitutes a fundamental challenge within the artificial intelligence field, s

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

LoRA-Tuned Large Language Models for Dementia Detection via Multi-View Speech-Derived Features

arXiv:2606.28445v1 Announce Type: cross Abstract: Early detection of dementia enables timely intervention, and reflecting cognitive impairment, spontaneous spee

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

SemFlowRAG: Directed Semantic Flow from Abstraction to Evidence for Complex Reasoning

arXiv:2606.28447v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) enhanced by Knowledge Graphs has shown promise in complex multi-hop reaso

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

LLM agents security duality: a comprehensive survey of self-security and empowered cybersecurity

arXiv:2606.28450v1 Announce Type: cross Abstract: Large language model (LLM) agents are rapidly being integrated into real-world systems. Their autonomy and too

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Event-Conditioned Diagnostics of Kinematic, Contact, and Object-Permanence Fields in Passive Object-State World Models

arXiv:2606.28455v1 Announce Type: cross Abstract: World models can predict future physical states, but prediction accuracy alone does not explain how physical i

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Is Lying an Emergent Behaviour in LLMs? Evidence from Gaslighting AI agents in a Sustainability Game

arXiv:2606.28456v1 Announce Type: cross Abstract: LLMs agents are increasingly used in multi-agent settings, yet their behaviour in sustainability games remains

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

An Agentic AI Pipeline for Appliance-Level Energy Anomaly Detection and LLM-Driven Recommendations

arXiv:2606.28467v1 Announce Type: cross Abstract: Appliance-level energy monitoring in office buildings produces noisy alerts that non-expert facility managers

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Decomposing Memorization Reduction in Privacy-Preserving Fine-Tuning of SLMs for CSIRTs

arXiv:2606.28479v1 Announce Type: cross Abstract: CSIRTs increasingly fine tune language models on vulnerability scan records, but these records expose internal

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

HDDPM: Heteroscedastic Denoising Diffusion Probabilistic Model for Quantitative Low-Count Brain PET Recovery

arXiv:2606.28513v1 Announce Type: cross Abstract: Positron emission tomography (PET) seeks to balance diagnostic quality with ra-diation dose. Low-count PET noi

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

A Gravitational Interpretation of Fine-Tuning Reversion

arXiv:2606.28525v1 Announce Type: cross Abstract: Fine-tuning on harmless data can partially undo behaviors acquired earlier in training. Safety can erode under

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

The Speedup Paradox: Rethinking Inference Speed-Quality Trade-off in Embodied Tasks

arXiv:2606.28529v2 Announce Type: cross Abstract: Embodied foundation models have recently been widely used to improve robot generalization and task success rat

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

KernelSight-LM: A Kernel-Level LLM Inference Simulator

arXiv:2606.28565v1 Announce Type: cross Abstract: As large language models (LLMs) move into production serving, practitioners must rapidly evaluate inference pe

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Geometric Measurements of the Axiom of Choice in Neural Proof Embeddings

arXiv:2606.28572v1 Announce Type: cross Abstract: The axiom of choice has divided the foundations of mathematics for over a century, but the distinction between

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Correct codes for the wrong reasons? validating LLMs as measurement instruments for theoretical constructs

arXiv:2606.28574v1 Announce Type: cross Abstract: When a large language model (LLM) codes a construct in text as a human annotator would, that agreement makes t

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Animation2Code: Evaluating Temporal Visual Reasoning in Video-to-Code Generation

arXiv:2606.28593v1 Announce Type: cross Abstract: While recent vision-language models (VLMs) have achieved significant improvements on static visual-to-code tas

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Neuromorphic Energy-Aware Learning for Adaptive Deep Brain Stimulation

arXiv:2606.28600v1 Announce Type: cross Abstract: Neuromorphic and edge computing research has focused on reducing the inference cost of neural network controll

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Database Context Compression for Text-to-SQL on Real-World Large Databases

arXiv:2606.28601v1 Announce Type: cross Abstract: Recent progress in Text-to-SQL has been driven by stronger language models and prompting strategies, yet perfo

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

What LLMs explain is not what they believe: Evaluating explanation sufficiency under models' own input beliefs

arXiv:2606.28615v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed in high-stakes domains, where free-text explanations su

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Constrained Tabular Diffusion for Finance

arXiv:2606.28674v1 Announce Type: cross Abstract: Generative models in finance face the dual challenge of producing realistic data while satisfying strict regul

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Capability Gates Are Not Authorization: Confused-Deputy Failures in LLM Agent Frameworks

arXiv:2606.28679v1 Announce Type: cross Abstract: Tool-using LLM agents increasingly read untrusted content while holding side-effecting tools such as payments,

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

SEATauBench: Adapting Tool-Agent-User Evaluation Into Low-Resource Southeast Asian Languages

arXiv:2606.28715v1 Announce Type: cross Abstract: While AI development and evaluation for Southeast Asia (SEA) has grown rapidly, agent capabilities in regional

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

5ting at SemEval-2026 Task 8: Strong End-to-End Multi-Turn RAG via LLM-Based Reranking and Faithfulness Control

arXiv:2606.28737v1 Announce Type: cross Abstract: We introduce 5ting, our system for the SemEval2026 Task 8 (MTRAGEval), which evaluates multi-turn Retrieval Au

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Four Types of LLM Reliance and Their Predictors Among Undergraduate Writers: A Mixed-Methods Study at a Minority-Serving R1 University

arXiv:2606.28749v1 Announce Type: cross Abstract: Although most undergraduates now use large language models (LLMs), a form of generative artificial intelligenc

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Majority Vote Silences Minority Values: Annotator Disagreement at the Hate/Offensive Boundary in HateXplain

arXiv:2606.28772v1 Announce Type: cross Abstract: Hate speech annotation pipelines routinely collapse annotator disagreement into majority vote labels before tr

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Categorizing Mathematical Concepts with LLM Voting Ensembles in Mathswitch

arXiv:2606.28815v1 Announce Type: cross Abstract: Mathswitch is an open-source project that imports mathematical concept records from sources such as Wikidata,

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

HARD-KV: Head-Adaptive Regularization for Decoding-time KV Compression

arXiv:2606.28831v1 Announce Type: cross Abstract: Long-context LLM inference faces a fundamental conflict: head-adaptive compression algorithms (e.g., Top-$p$ n

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Fisher-Routed Mixture of Experts for Federated Class-Incremental Learning

arXiv:2606.28835v1 Announce Type: cross Abstract: Federated Learning (FL) emerged as a promising distributed machine learning paradigm. However, extending FL to

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

LAMP: Lean-based Agentic framework with MCP and Proof Repair

arXiv:2606.28841v1 Announce Type: cross Abstract: Large language models are increasingly capable of mathematical reasoning, but the proofs they generate are oft

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

The Heterogeneous Safety Impacts of Benign Multilingual Fine-Tuning

arXiv:2606.28843v1 Announce Type: cross Abstract: Fine-tuning a large language model is a ubiquitous method for enhancing its capability on a specific downstrea

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 5d ago

Exploring the Value of Diverse LLM Explanations in Introductory Programming

arXiv:2606.28882v1 Announce Type: cross Abstract: Large Language Models (LLMs) have shown the potential to generate code explanations that surpass those of peer