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 4d ago

Inoculation Adapters: Improved Selective Generalization of Capabilities with Fewer Surprising Backdoors

arXiv:2606.30252v1 Announce Type: new Abstract: Inoculation prompting is a selective generalization technique used against Emergent Misalignment. We introduce i

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

EMPATH: A Multilingual Auditor-Judge Benchmark for Safety Evaluation of Emotional-Support Chatbots

arXiv:2606.30256v1 Announce Type: new Abstract: Safety benchmarks often buy scalability by fixing the prompt, the language, and the turn structure. For emotiona

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

PromptGNN-sim: Deep Fusion and Alignment of GNN and LLMs for Text-Attributed Graph Learning

arXiv:2606.30291v1 Announce Type: new Abstract: Text-Attributed Graphs (TAGs) combine textual semantics with graph structure and are central to many graph learn

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

ManimAgent: Self-Evolving Multimodal Agents for Visual Education

arXiv:2606.30296v1 Announce Type: new Abstract: Multi-round reflection lets agents built on large language models recover from failures within a single task, bu

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

BayesEvolve: Explicit Belief States for Autonomous Scientific Discovery

arXiv:2606.30335v1 Announce Type: new Abstract: Autonomous scientific discovery systems increasingly use large language models (LLMs) to propose new hypotheses,

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

Whose Side Is Your Agent On? Multi-Party Principal Loyalty in LLM Agents

arXiv:2606.30383v1 Announce Type: new Abstract: A rapidly growing class of LLM agents is multi-party: the agent acts for a principal (who briefs it, sends follo

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

The FIL Hypothesis: Inductive Biases Help with Kernel Engineering

arXiv:2606.30442v1 Announce Type: new Abstract: The Bitter Lesson, which posits that general-purpose methods that scale with computation and data ultimately out

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

Self-Evolving World Models for LLM Agent Planning

arXiv:2606.30639v1 Announce Type: new Abstract: World models offer a principled way to equip long-horizon LLM agents with foresight: predictions of action conse

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

$M^3 QuestionIng$: Multi-modal Multi-span Medical Question Answering

arXiv:2606.28329v1 Announce Type: cross Abstract: The growing adoption of AI in healthcare, particularly in preventive care, highlights the critical need for ac

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

High-Dimensional Concentration and Retrieval Instability in Embedding Spaces: Implications for Retrieval-Augmented Generation

arXiv:2606.28330v1 Announce Type: cross Abstract: Embedding-based retrieval systems rely on the assumption that geometric proximity in highdimensional represent

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

When Medical Safety Alignment Fails: A Benchmark for Evaluating LLMs on High-Risk Medical Queries

arXiv:2606.28332v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used for medical and health-related questions, yet their safety

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

Insidious by Design: Implications of Large Language Model algorithmic bias for the Global South

arXiv:2606.28333v1 Announce Type: cross Abstract: \begin{quote} The biases in Large Language Models' (LLMs) outputs remain inadequately theorised, particularly

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

HyBIRD: Hyperbolic Bridge Retrieval and Diagnosis for Methodology Inspiration Retrieval

arXiv:2606.28336v1 Announce Type: cross Abstract: Methodology Inspiration Retrieval (MIR) asks a system to retrieve prior papers whose methods can inspire a new

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

A Systems-Level Analysis of Sensitivity, Robustness, and Stability in Retrieval-Augmented Generation

arXiv:2606.28337v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) systems are often evaluated using final answer accuracy, even though thei

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

The Crowded Embedding Space: A Mean-Field Mechanism for Emergent Marginalization in Retrieval-Augmented Agents

arXiv:2606.28343v1 Announce Type: cross Abstract: Retrieval-augmented generative agents rely on retrieval for grounding, yet are typically evaluated on a query-

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

PIXELRAG: Web Screenshots Beat Text for Retrieval-Augmented Generation

arXiv:2606.28344v1 Announce Type: cross Abstract: Augmenting large language models (LLMs) with retrieved web text has become a dominant paradigm, yet the web is

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

Auditing LLM-Governed Social Robots with Culture-Specific Moral Gradients

arXiv:2606.28345v1 Announce Type: cross Abstract: LLM-governed social robots increasingly decide who receives real-world assistance first. As prioritization nor

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

HMARS: A Hierarchical Multi-Agent Memory System for Long-Context Reasoning

arXiv:2606.28349v1 Announce Type: cross Abstract: Long-context reasoning requires models to access, retrieve, and integrate evidence scattered across documents,

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

ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation

arXiv:2606.28357v1 Announce Type: cross Abstract: Recent advances in multimodal recommenders excel at feature fusion but remain opaque and inefficient decision-

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

How Do LLMs Cite? A Mechanistic Interpretation of Attribution in Retrieval-Augmented Generation

arXiv:2606.28358v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) aims to enhance the trustworthiness of Large Language Models (LLMs) by gr

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

Carolina Guide: A Multi-Agent RAG System with Institutional Guardrails for Academic Policy Assistance

arXiv:2606.28360v1 Announce Type: cross Abstract: University students often struggle to navigate complex academic policies, leading to advising bottlenecks and

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

ConCise: Training-Free Conclusion-Chain State Compression for Cost-Efficient Multi-Step RAG Services

arXiv:2606.28361v1 Announce Type: cross Abstract: Multi-step retrieval-augmented generation (RAG) has been widely deployed as LLM-powered web services for compl

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

LUMEN: Cost-Transparent Multi-Agent Pipeline for Automated Systematic Review and Meta-Analysis

arXiv:2606.28362v1 Announce Type: cross Abstract: Systematic reviews and meta-analyses (SR/MA) remain the gold standard for evidence synthesis, yet completing o

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