Core AI
Large Language Models
Deep dives into GPT, Claude, Gemini, Llama and the transformers powering modern AI
Skills in this topic
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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
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Articles (12694)Blog Posts (5648)Tutorials (2402)Research Papers (8232)News (874)
ArXiv cs.AI
🧠 Large Language Models
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⚡ AI Lesson
5d ago
Estimating Grammatical Gender Directions in Contextual Embeddings under Controlled and Natural Contexts
arXiv:2606.30152v1 Announce Type: cross Abstract: Contextual language models conflate grammatical gender and social semantic bias in gendered languages such as
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Few-Shot Domain Incremental Learning via Continual Vision-Language Consolidation
arXiv:2606.30190v1 Announce Type: cross Abstract: Existing domain-incremental learning (DIL) strategies call for massive amounts of data to adapt to new domains
ArXiv cs.AI
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5d ago
Forewarned is Forearmed: When Non-Sequential Embedding Turns Into an Anomaly Detector
arXiv:2606.30196v1 Announce Type: cross Abstract: This paper offers an in-depth analysis of non-sequential multimodal sentence-level embeddings, with a particul
ArXiv cs.AI
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5d ago
KnowsTFM: Knowledge-Informed Fine-Tuning of Small Tabular Foundation Models
arXiv:2606.30258v1 Announce Type: cross Abstract: Tabular foundation models have advanced deep learning for tabular data by delivering strong default performanc
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Research Entity Extraction and Topic Detection from UKRI Grant Proposals
arXiv:2606.30304v1 Announce Type: cross Abstract: This paper presents preliminary findings from a UKRI-funded Metascience project comparing three LLM-based appr
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Always-OnAgents:A Survey of Persistent Memory, State, and Governance in LLMAgents
arXiv:2606.30306v1 Announce Type: cross Abstract: Always-on agents are systems whose future behavior depends on durable state accumulated across earlier interac
ArXiv cs.AI
🧠 Large Language Models
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5d ago
MCP Server Architecture Patterns for LLM-Integrated Applications
arXiv:2606.30317v1 Announce Type: cross Abstract: The Model Context Protocol (MCP), introduced by Anthropic in November 2024, defines a standardized interface f
ArXiv cs.AI
🧠 Large Language Models
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⚡ AI Lesson
5d ago
DRIFT: Difficulty Routing Self-DIstillation with Rhythm-Gated Exploration and Success BuFfer Training
arXiv:2606.30345v1 Announce Type: cross Abstract: Enabling large language models to achieve stable self-improvement without external expert supervision remains
ArXiv cs.AI
🧠 Large Language Models
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5d ago
A Stochastic--Geometric Theory of Scaling Laws in Grokking
arXiv:2606.30388v1 Announce Type: cross Abstract: Delayed generalization (\ie~grokking) refers to the phenomenon in which a neural network fits its training dat
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Can LLMs Rank? A Tale of Triads and Triage
arXiv:2606.30412v1 Announce Type: cross Abstract: From housing allocation for households experiencing homelessness to triage in emergency departments, LLMs are
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Beyond Point Estimates for Glaucoma Visual Field Forecasting with Diffusion Models
arXiv:2606.30417v1 Announce Type: cross Abstract: Forecasting visual fields (VFs) is critical for personalized monitoring and treatment planning in glaucoma. Th
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Transformer Architectures as Complete Bayes Processes: A Formal Proof in the Measure-Theoretic Kernel Framework
arXiv:2606.30440v1 Announce Type: cross Abstract: We present a complete formal proof that transformer architectures, when their internal update mechanisms satis
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Translating Natural Language to Strategic Temporal Specifications via LLMs
arXiv:2606.30441v1 Announce Type: cross Abstract: A rigorous formalization of system requirements is a fundamental prerequisite for the verification of Multi-Ag
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Collective cooperation without individual fidelity in LLM agents
arXiv:2606.30454v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used as agents in simulations of social systems, yet it remains
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Field Order Should Not Matter: Permutation-Invariant Embedding Model Fine-Tuning for Structured Metadata Retrieval
arXiv:2606.30473v1 Announce Type: cross Abstract: We study retrieval over catalogs of structured metadata, where each record is a small schema whose fields answ
ArXiv cs.AI
🧠 Large Language Models
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5d ago
On the Faithfulness of Post-Hoc Concept Bottleneck Models
arXiv:2606.30498v1 Announce Type: cross Abstract: Human decision-making interprets the world through high-level concepts, such as recognizing a bird by its bell
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Informational Frustration in Neural Manifolds: Shannon Bottlenecks and the Limits of Learnability
arXiv:2606.30512v1 Announce Type: cross Abstract: Why overparameterised deep networks generalise so remarkably well remains one of the most stubborn open questi
ArXiv cs.AI
🧠 Large Language Models
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5d ago
TRACE: Temporal Relationship-Aware Conversational Entrainment Detection in Dyadic Speech
arXiv:2606.30543v1 Announce Type: cross Abstract: With the proliferation of speech AI agents, understanding emotional entrainment in conversational interaction
ArXiv cs.AI
🧠 Large Language Models
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5d ago
TraceLab: Characterizing Coding Agent Workloads for LLM Serving
arXiv:2606.30560v2 Announce Type: cross Abstract: Coding agents are rapidly becoming a major application of agentic LLMs, but serving them efficiently remains c
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Words Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability Detection
arXiv:2606.30587v1 Announce Type: cross Abstract: Researchers and practitioners increasingly apply Large Language Models (LLMs) for automated vulnerability dete
ArXiv cs.AI
🧠 Large Language Models
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5d ago
C$^{2}$R: Cross-sample Consistency Regularization Mitigates Feature Splitting and Absorption in Sparse Autoencoders
arXiv:2606.30609v1 Announce Type: cross Abstract: Sparse Autoencoders (SAEs) are widely used to interpret large language models by decomposing activations into
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Optimization Dynamics Imprint Semantic Specificity in Contrastive Embedding Norms
arXiv:2606.30625v1 Announce Type: cross Abstract: Contrastive embedding models trained with scale-invariant losses are typically paired with distance metrics li
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Pessimism's Paradox: Conservative Offline Training Amplifies Reward Hacking During Online Adaptation in Reasoning Models
arXiv:2606.30627v1 Announce Type: cross Abstract: Conservative offline training is widely advocated as a safe foundation for subsequent online adaptation: if a
ArXiv cs.AI
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5d ago
LeVo 2: Stable and Melodious Song Generation via Hierarchical Representation Modeling and Progressive Post-Training
arXiv:2606.30642v1 Announce Type: cross Abstract: Full-length song generation must preserve coherence and musicality, render detailed vocal and accompaniment ac
ArXiv cs.AI
🧠 Large Language Models
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5d ago
CLMASP: Coupling Large Language Models with Answer Set Programming for Robotic Task Planning
arXiv:2406.03367v2 Announce Type: replace Abstract: Large Language Models (LLMs) possess extensive foundational knowledge and moderate reasoning abilities, maki
ArXiv cs.AI
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5d ago
OptiMUS-0.3: Using Large Language Models to Model and Solve Optimization Problems at Scale
arXiv:2407.19633v4 Announce Type: replace Abstract: Optimization problems are pervasive in sectors from manufacturing and distribution to healthcare. However, m
ArXiv cs.AI
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5d ago
MARS: A neurosymbolic approach for interpretable drug discovery
arXiv:2410.05289v4 Announce Type: replace Abstract: Background: Neurosymbolic (NeSy) artificial intelligence describes the combination of logic or rule-based te
ArXiv cs.AI
🧠 Large Language Models
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5d ago
StarDojo: Benchmarking Open-Ended Behaviors of Agentic Multimodal LLMs in Production-Living Simulations with Stardew Valley
arXiv:2507.07445v3 Announce Type: replace Abstract: Autonomous agents navigating human society must master both production activities and social interactions, y
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning
arXiv:2508.02178v3 Announce Type: replace Abstract: Large reasoning models (LRMs) often exhibit overthinking, producing verbose Chain-of-Thought (CoT) traces th
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Learning How to Use Tools, Not Just When: Pattern-Aware Tool-Integrated Reasoning
arXiv:2509.23292v4 Announce Type: replace Abstract: Tool-integrated reasoning (TIR) has become a key approach for improving large reasoning models (LRMs) on com
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Echoes of Human Malice in Agents: Benchmarking LLMs for Multi-Turn Online Harassment Attacks
arXiv:2510.14207v3 Announce Type: replace Abstract: Large Language Model (LLM) agents are powering a growing share of interactive web applications, yet remain v
ArXiv cs.AI
🧠 Large Language Models
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5d ago
CaveAgent: Transforming LLMs into Stateful Runtime Operators
arXiv:2601.01569v4 Announce Type: replace Abstract: LLM-based agents are increasingly capable of complex task execution, yet current agentic systems remain cons
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Knowing Bias, Doing Better: Mitigating Social Bias in LLMs via Know-Bias Neuron Enhancement
arXiv:2601.21864v2 Announce Type: replace Abstract: Large language models (LLMs) exhibit social biases that reinforce harmful stereotypes, limiting their safe d
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization
arXiv:2602.11351v2 Announce Type: replace Abstract: Proactive large language model (LLM) agents aim to actively plan, query, and interact over multiple turns, e
ArXiv cs.AI
🧠 Large Language Models
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5d ago
StackingNet: Collective Inference Across Independent AI Foundation Models
arXiv:2602.13792v2 Announce Type: replace Abstract: Artificial intelligence built on large foundation models has transformed language understanding, computer vi
ArXiv cs.AI
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5d ago
ProSpec RL: Plan Ahead, then Execute
arXiv:2407.21359v2 Announce Type: replace-cross Abstract: Imagining potential outcomes of actions before execution helps agents make more informed decisions, a
ArXiv cs.AI
🧠 Large Language Models
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5d ago
XRAG: eXamining the Core -- Benchmarking Foundational Components in Advanced Retrieval-Augmented Generation
arXiv:2412.15529v4 Announce Type: replace-cross Abstract: Retrieval-augmented generation (RAG) synergizes the retrieval of pertinent data with the generative ca
ArXiv cs.AI
🧠 Large Language Models
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5d ago
CASE-Bench: Context-Aware SafEty Benchmark for Large Language Models
arXiv:2501.14940v4 Announce Type: replace-cross Abstract: Aligning large language models (LLMs) with human values is essential for their safe deployment and wid
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering
arXiv:2502.11491v3 Announce Type: replace-cross Abstract: Large language models (LLMs) have shown remarkable capabilities in natural language processing. Howeve
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Distributionally Robust Reinforcement Learning with Human Feedback
arXiv:2503.00539v2 Announce Type: replace-cross Abstract: Reinforcement learning from human feedback (RLHF) has evolved to be one of the main methods for fine-t
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks
arXiv:2504.17421v2 Announce Type: replace-cross Abstract: Large language models (LMs) offer broad generalization capabilities but require vast amounts of data a
ArXiv cs.AI
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5d ago
Scaling Textual Gradients via Sampling-Based Momentum
arXiv:2506.00400v4 Announce Type: replace-cross Abstract: LLM-based prompt optimization, which uses LLM-provided ``textual gradients'' (feedback) to refine prom
ArXiv cs.AI
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5d ago
Modeling Earth-Scale Human-Like Societies with One Billion Agents
arXiv:2506.12078v2 Announce Type: replace-cross Abstract: Understanding the dynamic evolution of complex social phenomena requires both high-fidelity modeling o
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Code Reasoning for Software Engineering Tasks: A Survey and A Call to Action
arXiv:2506.13932v3 Announce Type: replace-cross Abstract: The rise of large language models (LLMs) has led to dramatic improvements across a wide range of natur
ArXiv cs.AI
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5d ago
Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions
arXiv:2507.05257v4 Announce Type: replace-cross Abstract: Recent benchmarks for Large Language Model (LLM) agents primarily focus on evaluating reasoning, plann
ArXiv cs.AI
🧠 Large Language Models
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5d ago
LLM Serving Optimization with Variable Prefill and Decode Lengths
arXiv:2508.06133v4 Announce Type: replace-cross Abstract: We study offline scheduling for large language model (LLM) serving under a fixed KV-cache memory budge
ArXiv cs.AI
🧠 Large Language Models
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5d ago
Post-training for Efficient Communication via Convention Formation
arXiv:2508.06482v2 Announce Type: replace-cross Abstract: Humans communicate with increasing efficiency in multi-turn interactions, by adapting their language a
ArXiv cs.AI
🧠 Large Language Models
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5d ago
TAR: Temporal Anchor-Constrained Reasoning for Video Temporal Grounding
arXiv:2508.07683v2 Announce Type: replace-cross Abstract: Video Temporal Grounding (VTG) aims to localize specific video segments corresponding to natural langu
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