Core AI
Large Language Models
Deep dives into GPT, Claude, Gemini, Llama and the transformers powering modern AI
Skills in this topic
5 skills — Sign in to track your progress
LLM Foundations
beginner
Explain how transformers generate text
Prompt Craft
beginner
Write zero-shot and few-shot prompts
LLM Engineering
intermediate
Call LLM APIs with function/tool use
Fine-tuning LLMs
advanced
Prepare fine-tuning datasets
Multimodal LLMs
advanced
Use GPT-4V / Claude Vision for image understanding
Showing 5,084 reads from curated sources
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
⚡ AI Lesson
2w ago
VitaTouch: Property-Aware Vision-Tactile-Language Model for Robotic Quality Inspection in Manufacturing
arXiv:2604.03322v1 Announce Type: cross Abstract: Quality inspection in smart manufacturing requires identifying intrinsic material and surface properties beyon
ArXiv cs.AI
🧠 Large Language Models
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2w ago
CoLoRSMamba: Conditional LoRA-Steered Mamba for Supervised Multimodal Violence Detection
arXiv:2604.03329v1 Announce Type: cross Abstract: Violence detection benefits from audio, but real-world soundscapes can be noisy or weakly related to the visib
ArXiv cs.AI
🧠 Large Language Models
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⚡ AI Lesson
2w ago
The Ideation Bottleneck: Decomposing the Quality Gap Between AI-Generated and Human Economics Research
arXiv:2604.03338v1 Announce Type: cross Abstract: Autonomous AI systems can now generate complete economics research papers, but they substantially underperform
ArXiv cs.AI
🧠 Large Language Models
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⚡ AI Lesson
2w ago
Learning Additively Compositional Latent Actions for Embodied AI
arXiv:2604.03340v1 Announce Type: cross Abstract: Latent action learning infers pseudo-action labels from visual transitions, providing an approach to leverage
ArXiv cs.AI
🧠 Large Language Models
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⚡ AI Lesson
2w ago
Towards Intelligent Energy Security: A Unified Spatio-Temporal and Graph Learning Framework for Scalable Electricity Theft Detection in Smart Grids
arXiv:2604.03344v1 Announce Type: cross Abstract: Electricity theft and non-technical losses (NTLs) remain critical challenges in modern smart grids, causing si
ArXiv cs.AI
🧠 Large Language Models
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⚡ AI Lesson
2w ago
CresOWLve: Benchmarking Creative Problem-Solving Over Real-World Knowledge
arXiv:2604.03374v1 Announce Type: cross Abstract: Creative problem-solving requires combining multiple cognitive abilities, including logical reasoning, lateral
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Can LLMs Reason About Attention? Towards Zero-Shot Analysis of Multimodal Classroom Behavior
arXiv:2604.03401v1 Announce Type: cross Abstract: Understanding student engagement usually requires time-consuming manual observation or invasive recording that
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Zero-Shot Quantization via Weight-Space Arithmetic
arXiv:2604.03420v1 Announce Type: cross Abstract: We show that robustness to post-training quantization (PTQ) is a transferable direction in weight space. We ca
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Inference-Path Optimization via Circuit Duplication in Frozen Visual Transformers for Marine Species Classification
arXiv:2604.03428v1 Announce Type: cross Abstract: Automated underwater species classification is constrained by annotation cost and environmental variation that
ArXiv cs.AI
🧠 Large Language Models
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⚡ AI Lesson
2w ago
MetaSAEs: Joint Training with a Decomposability Penalty Produces More Atomic Sparse Autoencoder Latents
arXiv:2604.03436v1 Announce Type: cross Abstract: Sparse autoencoders (SAEs) are increasingly used for safety-relevant applications including alignment detectio
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Measuring LLM Trust Allocation Across Conflicting Software Artifacts
arXiv:2604.03447v1 Announce Type: cross Abstract: LLM-based software engineering assistants fail not only by producing incorrect outputs, but also by allocating
ArXiv cs.AI
🧠 Large Language Models
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⚡ AI Lesson
2w ago
Vocabulary Dropout for Curriculum Diversity in LLM Co-Evolution
arXiv:2604.03472v1 Announce Type: cross Abstract: Co-evolutionary self-play, where one language model generates problems and another solves them, promises auton
ArXiv cs.AI
🧠 Large Language Models
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⚡ AI Lesson
2w ago
Evolutionary Search for Automated Design of Uncertainty Quantification Methods
arXiv:2604.03473v1 Announce Type: cross Abstract: Uncertainty quantification (UQ) methods for large language models are predominantly designed by hand based on
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Large Language Models Align with the Human Brain during Creative Thinking
arXiv:2604.03480v1 Announce Type: cross Abstract: Creative thinking is a fundamental aspect of human cognition, and divergent thinking-the capacity to generate
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
2w ago
Sim2Real-AD: A Modular Sim-to-Real Framework for Deploying VLM-Guided Reinforcement Learning in Real-World Autonomous Driving
arXiv:2604.03497v1 Announce Type: cross Abstract: Deploying reinforcement learning policies trained in simulation to real autonomous vehicles remains a fundamen
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Incentives shape how humans co-create with generative AI
arXiv:2604.03529v1 Announce Type: cross Abstract: Generative AI is quickly becoming an integral part of people's everyday workflows. Early evidence has shown th
ArXiv cs.AI
🧠 Large Language Models
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2w ago
LangFIR: Discovering Sparse Language-Specific Features from Monolingual Data for Language Steering
arXiv:2604.03532v1 Announce Type: cross Abstract: Large language models (LLMs) show strong multilingual capabilities, yet reliably controlling the language of t
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Focus Matters: Phase-Aware Suppression for Hallucination in Vision-Language Models
arXiv:2604.03556v1 Announce Type: cross Abstract: Large Vision-Language Models (LVLMs) have achieved impressive progress in multimodal reasoning, yet they remai
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Unveiling Language Routing Isolation in Multilingual MoE Models for Interpretable Subnetwork Adaptation
arXiv:2604.03592v1 Announce Type: cross Abstract: Mixture-of-Experts (MoE) models exhibit striking performance disparities across languages, yet the internal me
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Neural Global Optimization via Iterative Refinement from Noisy Samples
arXiv:2604.03614v1 Announce Type: cross Abstract: Global optimization of black-box functions from noisy samples is a fundamental challenge in machine learning a
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Toward Executable Repository-Level Code Generation via Environment Alignment
arXiv:2604.03622v1 Announce Type: cross Abstract: Large language models (LLMs) have achieved strong performance on code generation, but existing methods still s
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Persistent Cross-Attempt State Optimization for Repository-Level Code Generation
arXiv:2604.03632v1 Announce Type: cross Abstract: Large language models (LLMs) have achieved substantial progress in repository-level code generation. However,
ArXiv cs.AI
🧠 Large Language Models
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⚡ AI Lesson
2w ago
A Generative Foundation Model for Multimodal Histopathology
arXiv:2604.03635v1 Announce Type: cross Abstract: Accurate diagnosis and treatment of complex diseases require integrating histological, molecular, and clinical
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Delayed Homomorphic Reinforcement Learning for Environments with Delayed Feedback
arXiv:2604.03641v1 Announce Type: cross Abstract: Reinforcement learning in real-world systems is often accompanied by delayed feedback, which breaks the Markov
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Stabilizing Unsupervised Self-Evolution of MLLMs via Continuous Softened Retracing reSampling
arXiv:2604.03647v1 Announce Type: cross Abstract: In the unsupervised self-evolution of Multimodal Large Language Models, the quality of feedback signals during
ArXiv cs.AI
🧠 Large Language Models
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2w ago
AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals in Government Services
arXiv:2604.03672v1 Announce Type: cross Abstract: Government agencies worldwide face growing volumes of citizen appeals, with electronic submissions increasing
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Unlocking Prompt Infilling Capability for Diffusion Language Models
arXiv:2604.03677v1 Announce Type: cross Abstract: Masked diffusion language models (dLMs) generate text through bidirectional denoising, yet this capability rem
ArXiv cs.AI
🧠 Large Language Models
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⚡ AI Lesson
2w ago
LightThinker++: From Reasoning Compression to Memory Management
arXiv:2604.03679v1 Announce Type: cross Abstract: Large language models (LLMs) excel at complex reasoning, yet their efficiency is limited by the surging cognit
ArXiv cs.AI
🧠 Large Language Models
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⚡ AI Lesson
2w ago
Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation
arXiv:2604.03688v1 Announce Type: cross Abstract: Sequential Recommendation (SR) learns user preferences from their historical interaction sequences and provide
ArXiv cs.AI
🧠 Large Language Models
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⚡ AI Lesson
2w ago
CREBench: Evaluating Large Language Models in Cryptographic Binary Reverse Engineering
arXiv:2604.03750v1 Announce Type: cross Abstract: Reverse engineering (RE) is central to software security, particularly for cryptographic programs that handle
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Testing the Limits of Truth Directions in LLMs
arXiv:2604.03754v1 Announce Type: cross Abstract: Large language models (LLMs) have been shown to encode truth of statements in their activation space along a l
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Can Humans Tell? A Dual-Axis Study of Human Perception of LLM-Generated News
arXiv:2604.03755v1 Announce Type: cross Abstract: Can humans tell whether a news article was written by a person or a large language model (LLM)? We investigate
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Automated Attention Pattern Discovery at Scale in Large Language Models
arXiv:2604.03764v1 Announce Type: cross Abstract: Large language models have found success by scaling up capabilities to work in general settings. The same can
ArXiv cs.AI
🧠 Large Language Models
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2w ago
When Does Multimodal AI Help? Diagnostic Complementarity of Vision-Language Models and CNNs for Spectrum Management in Satellite-Terrestrial Networks
arXiv:2604.03774v1 Announce Type: cross Abstract: The adoption of vision-language models (VLMs) for wireless network management is accelerating, yet no systemat
ArXiv cs.AI
🧠 Large Language Models
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2w ago
CountsDiff: A Diffusion Model on the Natural Numbers for Generation and Imputation of Count-Based Data
arXiv:2604.03779v1 Announce Type: cross Abstract: Diffusion models have excelled at generative tasks for both continuous and token-based domains, but their appl
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Automated Conjecture Resolution with Formal Verification
arXiv:2604.03789v1 Announce Type: cross Abstract: Recent advances in large language models have significantly improved their ability to perform mathematical rea
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Representational Collapse in Multi-Agent LLM Committees: Measurement and Diversity-Aware Consensus
arXiv:2604.03809v1 Announce Type: cross Abstract: Multi-agent LLM committees replicate the same model under different role prompts and aggregate outputs by majo
ArXiv cs.AI
🧠 Large Language Models
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2w ago
k-Maximum Inner Product Attention for Graph Transformers and the Expressive Power of GraphGPS The Expressive Power of GraphGPS
arXiv:2604.03815v1 Announce Type: cross Abstract: Graph transformers have shown promise in overcoming limitations of traditional graph neural networks, such as
ArXiv cs.AI
🧠 Large Language Models
📄 Paper
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2w ago
When Models Know More Than They Say: Probing Analogical Reasoning in LLMs
arXiv:2604.03877v1 Announce Type: cross Abstract: Analogical reasoning is a core cognitive faculty essential for narrative understanding. While LLMs perform wel
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Enhancing behavioral nudges with large language model-based iterative personalization: A field experiment on electricity and hot-water conservation
arXiv:2604.03881v1 Announce Type: cross Abstract: Nudging is widely used to promote behavioral change, but its effectiveness is often limited when recipients mu
ArXiv cs.AI
🧠 Large Language Models
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2w ago
I-CALM: Incentivizing Confidence-Aware Abstention for LLM Hallucination Mitigation
arXiv:2604.03904v1 Announce Type: cross Abstract: Large language models (LLMs) frequently produce confident but incorrect answers, partly because common binary
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Automating Cloud Security and Forensics Through a Secure-by-Design Generative AI Framework
arXiv:2604.03912v1 Announce Type: cross Abstract: As cloud environments become increasingly complex, cybersecurity and forensic investigations must evolve to me
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Interpreting Video Representations with Spatio-Temporal Sparse Autoencoders
arXiv:2604.03919v1 Announce Type: cross Abstract: We present the first systematic study of Sparse Autoencoders (SAEs) on video representations. Standard SAEs de
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Uncertainty as a Planning Signal: Multi-Turn Decision Making for Goal-Oriented Conversation
arXiv:2604.03924v1 Announce Type: cross Abstract: Goal-oriented conversational systems require making sequential decisions under uncertainty about the user's in
ArXiv cs.AI
🧠 Large Language Models
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2w ago
AdaptFuse: Training-Free Sequential Preference Learning via Externalized Bayesian Inference
arXiv:2604.03925v1 Announce Type: cross Abstract: Large language models struggle to accumulate evidence across multiple rounds of user interaction, failing to u
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Diagonal-Tiled Mixed-Precision Attention for Efficient Low-Bit MXFP Inference
arXiv:2604.03950v1 Announce Type: cross Abstract: Transformer-based large language models (LLMs) have demonstrated remarkable performance across a wide range of
ArXiv cs.AI
🧠 Large Language Models
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2w ago
VLA-Forget: Vision-Language-Action Unlearning for Embodied Foundation Models
arXiv:2604.03956v1 Announce Type: cross Abstract: Vision-language-action (VLA) models are emerging as embodied foundation models for robotic manipulation, but t
ArXiv cs.AI
🧠 Large Language Models
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2w ago
Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics
arXiv:2604.03980v1 Announce Type: cross Abstract: Parameter-efficient prompt learning has become the de facto standard for adapting Vision-Language Models (VLMs
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