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 2w ago

ThinkTwice: Jointly Optimizing Large Language Models for Reasoning and Self-Refinement

arXiv:2604.01591v2 Announce Type: replace Abstract: We introduce ThinkTwice, a simple two-phase framework that jointly optimizes LLMs to solve reasoning problem

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and Semantically-Rich Vision-Language Models

arXiv:2407.14971v3 Announce Type: replace-cross Abstract: Vision-Language Models (VLMs) rely heavily on pretrained vision encoders to support downstream tasks s

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment

arXiv:2409.19894v5 Announce Type: replace-cross Abstract: Code translation transforms code between programming languages while preserving functionality, which i

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Cobblestone: A Divide-and-Conquer Approach for Automating Formal Verification

arXiv:2410.19940v4 Announce Type: replace-cross Abstract: Formal verification using proof assistants, such as Coq, is an effective way of improving software qua

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap

arXiv:2410.20791v3 Announce Type: replace-cross Abstract: The rapid expansion of foundation models (FMs), such as large language models (LLMs), has given rise t

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Aligned Vector Quantization for Edge-Cloud Collabrative Vision-Language Models

arXiv:2411.05961v2 Announce Type: replace-cross Abstract: Vision Language Models (VLMs) are central to Visual Question Answering (VQA) systems and are typically

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Retrieval Augmented Time Series Forecasting

arXiv:2411.08249v2 Announce Type: replace-cross Abstract: Retrieval-augmented generation (RAG) is a central component of modern LLM systems, particularly in sce

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

ENTER: Event Based Interpretable Reasoning for VideoQA

arXiv:2501.14194v2 Announce Type: replace-cross Abstract: In this paper, we present ENTER, an interpretable Video Question Answering (VideoQA) system based on e

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification

arXiv:2502.17421v3 Announce Type: replace-cross Abstract: As Large Language Models (LLMs) can now process extremely long contexts, efficient inference over thes

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Hedging and Non-Affirmation: Quantifying LLM Alignment on Questions of Human Rights

arXiv:2502.19463v2 Announce Type: replace-cross Abstract: Hedging and non-affirmation are behaviors exhibited by large language models (LLMs) that limit the cle

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

NativQA Framework: Enabling LLMs and VLMs with Native, Local, and Everyday Knowledge

arXiv:2504.05995v3 Announce Type: replace-cross Abstract: The rapid progress of large language models (LLMs) raises concerns about cultural bias, fairness, and

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Phonetic Perturbations Reveal Tokenizer-Rooted Safety Gaps in LLMs

arXiv:2505.14226v5 Announce Type: replace-cross Abstract: Safety-aligned LLMs remain vulnerable to digital phenomena like textese that introduce non-canonical p

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Synthesis of discrete-continuous quantum circuits with multimodal diffusion models

arXiv:2506.01666v3 Announce Type: replace-cross Abstract: Efficiently compiling quantum operations remains a major bottleneck in scaling quantum computing. Toda

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

HeartcareGPT: A Unified Multimodal ECG Suite for Dual Signal-Image Modeling and Understanding

arXiv:2506.05831v4 Announce Type: replace-cross Abstract: Although electrocardiograms (ECG) play a dominant role in cardiovascular diagnosis and treatment, thei

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

A Survey of Continual Reinforcement Learning

arXiv:2506.21872v2 Announce Type: replace-cross Abstract: Reinforcement Learning (RL) is an important machine learning paradigm for solving sequential decision-

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Enhancing Hallucination Detection via Future Context

arXiv:2507.20546v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are widely used to generate plausible text on online platforms, without r

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization

arXiv:2509.17183v2 Announce Type: replace-cross Abstract: Alignment plays a crucial role in Large Language Models (LLMs) in aligning with human preferences on a

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

A State-Update Prompting Strategy for Efficient and Robust Multi-turn Dialogue

arXiv:2509.17766v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) struggle with information forgetting and inefficiency in long-horizon, mu

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Dissecting Transformers: A CLEAR Perspective towards Green AI

arXiv:2510.02810v2 Announce Type: replace-cross Abstract: The rapid adoption of Large Language Models (LLMs) has raised significant environmental concerns. Unli

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Reveal-to-Revise: Explainable Bias-Aware Generative Modeling with Multimodal Attention

arXiv:2510.12957v3 Announce Type: replace-cross Abstract: We present an explainable, bias-aware generative framework that unifies cross-modal attention fusion,

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Unlocking the Potential of Diffusion Language Models through Template Infilling

arXiv:2510.13870v2 Announce Type: replace-cross Abstract: Diffusion Language Models (DLMs) have emerged as a promising alternative to Autoregressive Language Mo

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Knowledge Reasoning Language Model: Unifying Knowledge and Language for Inductive Knowledge Graph Reasoning

arXiv:2510.13909v2 Announce Type: replace-cross Abstract: Inductive Knowledge Graph Reasoning (KGR) aims to discover facts in open-domain KGs containing unknown

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

RLAIF-SPA: Structured AI Feedback for Semantic-Prosodic Alignment in Speech Synthesis

arXiv:2510.14628v2 Announce Type: replace-cross Abstract: Recent advances in Text-To-Speech (TTS) synthesis have achieved near-human speech quality in neutral s

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Fairness Evaluation and Inference Level Mitigation in LLMs

arXiv:2510.18914v3 Announce Type: replace-cross Abstract: Large language models often display undesirable behaviors embedded in their internal representations,

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Routing-Based Continual Learning for Multimodal Large Language Models

arXiv:2511.01831v3 Announce Type: replace-cross Abstract: Multimodal Large Language Models (MLLMs) struggle with continual learning, often suffering from catast

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Developing and Evaluating a Large Language Model-Based Automated Feedback System Grounded in Evidence-Centered Design for Supporting Physics Problem Solving

arXiv:2512.10785v2 Announce Type: replace-cross Abstract: Generative AI offers new opportunities for individualized and adaptive learning, e.g., through large l

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Automatic Replication of LLM Mistakes in Medical Conversations

arXiv:2512.20983v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly evaluated in clinical settings using multi-dimensional r

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

PhyAVBench: A Challenging Audio Physics-Sensitivity Benchmark for Physically Grounded Text-to-Audio-Video Generation

arXiv:2512.23994v2 Announce Type: replace-cross Abstract: Text-to-audio-video (T2AV) generation is central to applications such as filmmaking and world modeling

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Mechanistic Knobs in LLMs: Retrieving and Steering High-Order Semantic Features via Sparse Autoencoders

arXiv:2601.02978v2 Announce Type: replace-cross Abstract: Recent work in Mechanistic Interpretability (MI) has enabled the identification and intervention of in

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

IBISAgent: Reinforcing Pixel-Level Visual Reasoning in MLLMs for Universal Biomedical Object Referring and Segmentation

arXiv:2601.03054v4 Announce Type: replace-cross Abstract: Recent research on medical MLLMs has gradually shifted its focus from image-level understanding to fin

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency

arXiv:2601.05905v2 Announce Type: replace-cross Abstract: As Large Language Models (LLMs) are increasingly deployed in real-world settings, correctness alone is

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Frame of Reference: Addressing the Challenges of Common Ground Representation in Situational Dialogs

arXiv:2601.09365v2 Announce Type: replace-cross Abstract: Common ground plays a critical role in situated spoken dialogs, where interlocutors must establish and

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

WISP: Waste- and Interference-Suppressed Distributed Speculative LLM Serving at the Edge via Dynamic Drafting and SLO-Aware Batching

arXiv:2601.11652v2 Announce Type: replace-cross Abstract: As Large Language Models (LLMs) become increasingly accessible to end users, an ever-growing number of

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Why Can't I Open My Drawer? Mitigating Object-Driven Shortcuts in Zero-Shot Compositional Action Recognition

arXiv:2601.16211v2 Announce Type: replace-cross Abstract: Zero-Shot Compositional Action Recognition (ZS-CAR) requires recognizing novel verb-object combination

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

QUASAR: A Universal Autonomous System for Atomistic Simulation and a Benchmark of Its Capabilities

arXiv:2602.00185v2 Announce Type: replace-cross Abstract: The integration of large language models (LLMs) into materials science offers a transformative opportu

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Do Schwartz Higher-Order Values Help Sentence-Level Human Value Detection? A Study of Hierarchical Gating and Calibration

arXiv:2602.00913v3 Announce Type: replace-cross Abstract: Human value detection from single sentences is a sparse, imbalanced multi-label task. We study whether

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs

arXiv:2602.12705v4 Announce Type: replace-cross Abstract: We present MedXIAOHE, a medical vision-language foundation model designed to advance general-purpose m

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Weight space Detection of Backdoors in LoRA Adapters

arXiv:2602.15195v3 Announce Type: replace-cross Abstract: LoRA adapters let users fine-tune large language models (LLMs) efficiently. However, LoRA adapters are

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Agora: Teaching the Skill of Consensus-Finding with AI Personas Grounded in Human Voice

arXiv:2603.07339v3 Announce Type: replace-cross Abstract: Deliberative democratic theory suggests that civic competence: the capacity to navigate disagreement,

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Not All Latent Spaces Are Flat: Hyperbolic Concept Control

arXiv:2603.14093v3 Announce Type: replace-cross Abstract: As modern text-to-image (T2I) models draw closer to synthesizing highly realistic content, the threat

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Frequency Matters: Fast Model-Agnostic Data Curation for Pruning and Quantization

arXiv:2603.16105v2 Announce Type: replace-cross Abstract: Post-training model compression is essential for enhancing the portability of Large Language Models (L

ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 2w ago

Moral Mazes in the Era of LLMs

arXiv:2603.20231v2 Announce Type: replace-cross Abstract: Navigating complex social situations is an integral part of corporate life, ranging from giving critic

Dev.to AI 🧠 Large Language Models ⚡ AI Lesson 2w ago

I Built a Personal Second Brain with Markdown Files and Claude Code — Here's How

The Inspiration I saw Andrej Karpathy's viral post about using LLMs to build personal knowledge bases — no vector database, no chunking pipeline. Just markdown

Dev.to AI 🧠 Large Language Models ⚡ AI Lesson 2w ago

LLMKube Now Deploys Any Inference Engine, Not Just llama.cpp

LLMKube started as a Kubernetes operator for llama.cpp. You define a Model, define an InferenceService, and the controller handles GPU scheduling, health probes

Dev.to AI 🧠 Large Language Models ⚡ AI Lesson 2w ago

I benchmarked GPT-4o, Claude 3.5, and Gemini 1.5 for security — the results

We all know LLMs can be tricked. Prompt injection, jailbreaks, PII leakage — these aren't theoretical anymore. They're happening in production. But here's the t

Dev.to AI 🧠 Large Language Models ⚡ AI Lesson 2w ago

Big Tech firms are accelerating AI investments and integration, while regulators and companies focus on safety and responsible adoption.

The AI landscape is experiencing unprecedented growth and transformation. This post delves into the key developments shaping the future of artificial intelligen

GLM-4.7-Flash-GGUF Brings Fast Local AI to Consumer Hardware

Hackernoon 🧠 Large Language Models ⚡ AI Lesson 2w ago

GLM-4.7-Flash-GGUF Brings Fast Local AI to Consumer Hardware

GLM-4.7-Flash-GGUF offers fast local text generation with multiple quantization options for PCs, edge devices, and small servers.

TechCrunch AI 🧠 Large Language Models ⚡ AI Lesson 2w ago

I can’t help rooting for tiny open source AI model maker Arcee

Arcee is a tiny 26-person U.S. startup that built a high-performing, massive, open source LLM. And it's gaining popularity with OpenClaw users.