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

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning

arXiv:2604.04229v1 Announce Type: cross Abstract: Learning aligned multimodal embeddings from weakly paired, label-free corpora is challenging: pipelines often

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

Three Phases of Expert Routing: How Load Balance Evolves During Mixture-of-Experts Training

arXiv:2604.04230v1 Announce Type: cross Abstract: We model Mixture-of-Experts (MoE) token routing as a congestion game with a single effective parameter, the co

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

APPA: Adaptive Preference Pluralistic Alignment for Fair Federated RLHF of LLMs

arXiv:2604.04261v1 Announce Type: cross Abstract: Aligning large language models (LLMs) with diverse human preferences requires pluralistic alignment, where a s

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

Commercial Persuasion in AI-Mediated Conversations

arXiv:2604.04263v1 Announce Type: cross Abstract: As Large Language Models (LLMs) become a primary interface between users and the web, companies face growing e

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

Poisoned Identifiers Survive LLM Deobfuscation: A Case Study on Claude Opus 4.6

arXiv:2604.04289v1 Announce Type: cross Abstract: When an LLM deobfuscates JavaScript, can poisoned identifier names in the string table survive into the model'

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

HighFM: Towards a Foundation Model for Learning Representations from High-Frequency Earth Observation Data

arXiv:2604.04306v1 Announce Type: cross Abstract: The increasing frequency and severity of climate related disasters have intensified the need for real time mon

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

Effects of Generative AI Errors on User Reliance Across Task Difficulty

arXiv:2604.04319v1 Announce Type: cross Abstract: The capabilities of artificial intelligence (AI) lie along a jagged frontier, where AI systems surprisingly fa

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

GROUNDEDKG-RAG: Grounded Knowledge Graph Index for Long-document Question Answering

arXiv:2604.04359v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) systems have been widely adopted in contemporary large language models (L

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

Compressible Softmax-Attended Language under Incompressible Attention

arXiv:2604.04384v1 Announce Type: cross Abstract: Across every attention head in five transformer language models (124M--7B parameters, four architecture famili

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

How Alignment Routes: Localizing, Scaling, and Controlling Policy Circuits in Language Models

arXiv:2604.04385v1 Announce Type: cross Abstract: We identify a recurring sparse routing mechanism in alignment-trained language models: a gate attention head r

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

Relative Density Ratio Optimization for Stable and Statistically Consistent Model Alignment

arXiv:2604.04410v1 Announce Type: cross Abstract: Aligning language models with human preferences is essential for ensuring their safety and reliability. Althou

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

Responses Fall Short of Understanding: Revealing the Gap between Internal Representations and Responses in Visual Document Understanding

arXiv:2604.04411v1 Announce Type: cross Abstract: Visual document understanding (VDU) is a challenging task for large vision language models (LVLMs), requiring

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

Justified or Just Convincing? Error Verifiability as a Dimension of LLM Quality

arXiv:2604.04418v1 Announce Type: cross Abstract: As LLMs are deployed in high-stakes settings, users must judge the correctness of individual responses, often

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

Is Prompt Selection Necessary for Task-Free Online Continual Learning?

arXiv:2604.04420v1 Announce Type: cross Abstract: Task-free online continual learning has recently emerged as a realistic paradigm for addressing continual lear

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

Training Transformers in Cosine Coefficient Space

arXiv:2604.04440v1 Announce Type: cross Abstract: We parameterize the weight matrices of a transformer in the two-dimensional discrete cosine transform (DCT) do

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

Conversational Control with Ontologies for Large Language Models: A Lightweight Framework for Constrained Generation

arXiv:2604.04450v1 Announce Type: cross Abstract: Conversational agents based on Large Language Models (LLMs) have recently emerged as powerful tools for human-

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

DP-OPD: Differentially Private On-Policy Distillation for Language Models

arXiv:2604.04461v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly adapted to proprietary and domain-specific corpora that contain

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

Discrete Prototypical Memories for Federated Time Series Foundation Models

arXiv:2604.04475v1 Announce Type: cross Abstract: Leveraging Large Language Models (LLMs) as federated learning (FL)-based time series foundation models offers

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

SLaB: Sparse-Lowrank-Binary Decomposition for Efficient Large Language Models

arXiv:2604.04493v1 Announce Type: cross Abstract: The rapid growth of large language models (LLMs) presents significant deployment challenges due to their massi

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

One Model for All: Multi-Objective Controllable Language Models

arXiv:2604.04497v1 Announce Type: cross Abstract: Aligning large language models (LLMs) with human preferences is critical for enhancing LLMs' safety, helpfulne

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

GAIN: Multiplicative Modulation for Domain Adaptation

arXiv:2604.04516v1 Announce Type: cross Abstract: Adapting LLMs to new domains causes forgetting because standard methods (full fine-tuning, LoRA) inject new di

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

Multilingual Prompt Localization for Agent-as-a-Judge: Language and Backbone Sensitivity in Requirement-Level Evaluation

arXiv:2604.04532v1 Announce Type: cross Abstract: Evaluation language is typically treated as a fixed English default in agentic code benchmarks, yet we show th

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

Mapping the Exploitation Surface: A 10,000-Trial Taxonomy of What Makes LLM Agents Exploit Vulnerabilities

arXiv:2604.04561v1 Announce Type: cross Abstract: LLM agents with tool access can discover and exploit security vulnerabilities. This is known. What is not know

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

Paper Espresso: From Paper Overload to Research Insight

arXiv:2604.04562v1 Announce Type: cross Abstract: The accelerating pace of scientific publishing makes it increasingly difficult for researchers to stay current

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

PassiveQA: A Three-Action Framework for Epistemically Calibrated Question Answering via Supervised Finetuning

arXiv:2604.04565v1 Announce Type: cross Abstract: Large Language Models (LLMs) have achieved strong performance in question answering and retrieval-augmented ge

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

Ruling Out to Rule In: Contrastive Hypothesis Retrieval for Medical Question Answering

arXiv:2604.04593v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) grounds large language models in external medical knowledge, yet standard

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

An AI Teaching Assistant for Motion Picture Engineering

arXiv:2604.04670v1 Announce Type: cross Abstract: The rapid rise of LLMs over the last few years has promoted growing experimentation with LLM-driven AI tutors.

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

MUXQ: Mixed-to-Uniform Precision MatriX Quantization via Low-Rank Outlier Decomposition

arXiv:2604.04701v1 Announce Type: cross Abstract: Large language models (LLMs) have achieved outstanding performance across a wide range of natural language pro

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

BiST: A Gold Standard Bangla-English Bilingual Corpus for Sentence Structure and Tense Classification with Inter-Annotator Agreement

arXiv:2604.04708v1 Announce Type: cross Abstract: High-quality bilingual resources remain a critical bottleneck for advancing multilingual NLP in low-resource s

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

What Makes Good Multilingual Reasoning? Disentangling Reasoning Traces with Measurable Features

arXiv:2604.04720v1 Announce Type: cross Abstract: Large Reasoning Models (LRMs) still exhibit large performance gaps between English and other languages, yet mu

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

Individual and Combined Effects of English as a Second Language and Typos on LLM Performance

arXiv:2604.04723v1 Announce Type: cross Abstract: Large language models (LLMs) are used globally, and because much of their training data is in English, they ty

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

Metaphors We Compute By: A Computational Audit of Cultural Translation vs. Thinking in LLMs

arXiv:2604.04732v1 Announce Type: cross Abstract: Large language models (LLMs) are often described as multilingual because they can understand and respond in ma

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

Discovering Failure Modes in Vision-Language Models using RL

arXiv:2604.04733v1 Announce Type: cross Abstract: Vision-language Models (VLMs), despite achieving strong performance on multimodal benchmarks, often misinterpr

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

Hallucination Basins: A Dynamic Framework for Understanding and Controlling LLM Hallucinations

arXiv:2604.04743v1 Announce Type: cross Abstract: Large language models (LLMs) hallucinate: they produce fluent outputs that are factually incorrect. We present

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

Cog-DRIFT: Exploration on Adaptively Reformulated Instances Enables Learning from Hard Reasoning Problems

arXiv:2604.04767v1 Announce Type: cross Abstract: Reinforcement learning from verifiable rewards (RLVR) has improved the reasoning abilities of LLMs, yet a fund

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

SkillX: Automatically Constructing Skill Knowledge Bases for Agents

arXiv:2604.04804v1 Announce Type: cross Abstract: Learning from experience is critical for building capable large language model (LLM) agents, yet prevailing se

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

LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News Detection

arXiv:2604.04815v1 Announce Type: cross Abstract: The rapid development of Large Language Models (LLMs) has transformed fake news detection and fact-checking ta

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

Plausibility as Commonsense Reasoning: Humans Succeed, Large Language Models Do not

arXiv:2604.04825v1 Announce Type: cross Abstract: Large language models achieve strong performance on many language tasks, yet it remains unclear whether they i

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

InfBaGel: Human-Object-Scene Interaction Generation with Dynamic Perception and Iterative Refinement

arXiv:2604.04843v1 Announce Type: cross Abstract: Human-object-scene interactions (HOSI) generation has broad applications in embodied AI, simulation, and anima

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

Strengthening Human-Centric Chain-of-Thought Reasoning Integrity in LLMs via a Structured Prompt Framework

arXiv:2604.04852v1 Announce Type: cross Abstract: Chain-of-Thought (CoT) prompting has been used to enhance the reasoning capability of LLMs. However, its relia

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

Noise Immunity in In-Context Tabular Learning: An Empirical Robustness Analysis of TabPFN's Attention Mechanisms

arXiv:2604.04868v1 Announce Type: cross Abstract: Tabular foundation models (TFMs) such as TabPFN (Tabular Prior-Data Fitted Network) are designed to generalize

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

Rethinking Exploration in RLVR: From Entropy Regularization to Refinement via Bidirectional Entropy Modulation

arXiv:2604.04894v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) has significantly advanced the reasoning capabilities of

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

Agentic Federated Learning: The Future of Distributed Training Orchestration

arXiv:2604.04895v1 Announce Type: cross Abstract: Although Federated Learning (FL) promises privacy and distributed collaboration, its effectiveness in real-wor

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

Vero: An Open RL Recipe for General Visual Reasoning

arXiv:2604.04917v1 Announce Type: cross Abstract: What does it take to build a visual reasoner that works across charts, science, spatial understanding, and ope

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

Your Pre-trained Diffusion Model Secretly Knows Restoration

arXiv:2604.04924v1 Announce Type: cross Abstract: Pre-trained diffusion models have enabled significant advancements in All-in-One Restoration (AiOR), offering

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

Early Stopping for Large Reasoning Models via Confidence Dynamics

arXiv:2604.04930v1 Announce Type: cross Abstract: Large reasoning models rely on long chain-of-thought generation to solve complex problems, but extended reason

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

Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning

arXiv:2302.00797v4 Announce Type: replace Abstract: Opponent modeling methods typically involve two crucial steps: building a belief distribution over opponents

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

Barriers to Complexity-Theoretic Proofs that "AGI" Using Machine Learning is Impossible

arXiv:2411.06498v2 Announce Type: replace Abstract: A recent paper (van Rooij et al. 2024) claims to have proved that achieving human-like intelligence using le