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All ⚡ AI Lessons (5357) ArXiv cs.AIOpenAI NewsHugging Face BlogForbes InnovationDev.to AIHackernoon
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Models
arXiv:2603.25716v1 Announce Type: cross Abstract: Video world models have shown immense potential in simulating the physical world, yet existing memory mechanis
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Natural-Language Agent Harnesses
arXiv:2603.25723v1 Announce Type: cross Abstract: Agent performance increasingly depends on \emph{harness engineering}, yet harness design is usually buried in
ArXiv cs.AI 👁️ Computer Vision 📄 Paper ⚡ AI Lesson 1w ago
PixelSmile: Toward Fine-Grained Facial Expression Editing
arXiv:2603.25728v1 Announce Type: cross Abstract: Fine-grained facial expression editing has long been limited by intrinsic semantic overlap. To address this, w
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
PackForcing: Short Video Training Suffices for Long Video Sampling and Long Context Inference
arXiv:2603.25730v1 Announce Type: cross Abstract: Autoregressive video diffusion models have demonstrated remarkable progress, yet they remain bottlenecked by i
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving
arXiv:2603.25740v1 Announce Type: cross Abstract: Human driving behavior is inherently personal, which is shaped by long-term habits and influenced by short-ter
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
Vega: Learning to Drive with Natural Language Instructions
arXiv:2603.25741v1 Announce Type: cross Abstract: Vision-language-action models have reshaped autonomous driving to incorporate languages into the decision-maki
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Working Paper: Active Causal Structure Learning with Latent Variables: Towards Learning to Detour in Autonomous Robots
arXiv:2410.20894v3 Announce Type: replace Abstract: Artificial General Intelligence (AGI) Agents and Robots must be able to cope with everchanging environments
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Semi-Strongly solved: a New Definition Leading Computer to Perfect Gameplay
arXiv:2411.01029v2 Announce Type: replace Abstract: Strong solving of perfect-information games certifies optimal play from every reachable position, but the re
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Research on environment perception and behavior prediction of intelligent UAV based on semantic communication
arXiv:2501.04480v2 Announce Type: replace Abstract: The convergence of drone delivery systems, virtual worlds, and blockchain has transformed logistics and supp
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Concepts Learned Visually by Infants Can Contribute to Visual Learning and Understanding in AI Models
arXiv:2503.03361v3 Announce Type: replace Abstract: Early in development, infants learn to extract surprisingly complex aspects of visual scenes. This early lea
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
TrustGeoGen: Formal-Verified Data Engine for Trustworthy Multi-modal Geometric Problem Solving
arXiv:2504.15780v3 Announce Type: replace Abstract: Geometric problem solving (GPS) requires precise multimodal understanding and rigorous, step-by-step logical
ArXiv cs.AI 📄 Paper ⚡ AI Lesson 1w ago
Ludax: A GPU-Accelerated Domain Specific Language for Board Games
arXiv:2506.22609v2 Announce Type: replace Abstract: Games have long been used as benchmarks and testing environments for research in artificial intelligence. A
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Interactive Query Answering on Knowledge Graphs with Soft Entity Constraints
arXiv:2508.13663v4 Announce Type: replace Abstract: Methods for query answering over incomplete knowledge graphs retrieve entities that are \emph{likely} to be
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Do Language Models Follow Occam's Razor? An Evaluation of Parsimony in Inductive and Abductive Reasoning
arXiv:2509.03345v2 Announce Type: replace Abstract: Non-deductive reasoning, encompassing inductive and abductive reasoning, is essential in addressing complex
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning
arXiv:2509.23768v2 Announce Type: replace Abstract: The chemical reaction recommendation is to select proper reaction condition parameters for chemical reaction
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Planned Diffusion
arXiv:2510.18087v2 Announce Type: replace Abstract: Most large language models are autoregressive: they generate tokens one at a time. Discrete diffusion langua
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Analysing Environmental Efficiency in AI for X-Ray Diagnosis
arXiv:2511.07436v2 Announce Type: replace Abstract: The integration of AI tools into medical applications has aimed to improve the efficiency of diagnosis. The
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
XGrammar-2: Efficient Dynamic Structured Generation Engine for Agentic LLMs
arXiv:2601.04426v2 Announce Type: replace Abstract: Modern LLM agents increasingly rely on dynamic structured generation, such as tool calling and response prot
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback
arXiv:2603.08561v4 Announce Type: replace Abstract: Standard reinforcement learning (RL) for large language model (LLM) agents typically optimizes extrinsic rew
ArXiv cs.AI 🧠 Large Language Models 📄 Paper ⚡ AI Lesson 1w ago
Consequentialist Objectives and Catastrophe
arXiv:2603.15017v2 Announce Type: replace Abstract: Because human preferences are too complex to codify, AIs operate with misspecified objectives. Optimizing su