#causal confusion
12 related articles
·3 min
How to Fill Out EMNLP's ARR Commitment Form: A Complete Guide to Abstract Updates and Metareview Responses
A detailed guide on filling out the EMNLP ARR commitment form: updating abstracts, writing Response to Metareview, syncing TL;DR, and key practical tips.
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·3 min
Reproducing GPT-2: How a Hidden Bug Affected Weight Training
An in-depth analysis of a hidden bug discovered while reproducing GPT-2 from scratch, revealing how implementation errors silently degrade weight quality and sharing practical debugging methodologies.
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·4 min
More Imitation Learning Data Leading to Worse Results? A Deep Dive into Compounding Errors and Data Quality Traps
Through a real game AI navigation case, this article deeply analyzes why more data can worsen imitation learning, covering compounding errors, distribution shift, data quality issues, and DAgger solutions.
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·4 min
More Imitation Learning Data Makes Things Worse? A Deep Dive into Compounding Errors and Data Quality Traps
Through a real game AI navigation case, we deeply analyze why more data can worsen imitation learning, covering compounding errors, distribution shift, data quality issues, and DAgger solutions.
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·4 min
AI Agent Memory Systems: Genuine Technical Progress or RAG in Disguise?
In-depth analysis of AI agent memory systems: examining whether current improvements represent real progress or just RAG repackaged, and what architectural changes are truly needed.
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·3 min
Claude Code vs Codex: Hands-On Comparison and Installation Guide for AI Programming Tools
In-depth comparison of Claude Code and Codex AI programming tools covering accuracy, installation, and network setup tips to help developers choose the best solution.
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·2 min
JEPA World Model Deep Dive: Promise and Controversy
JEPA is LeCun's world model architecture that predicts in abstract embedding space rather than pixels. This article analyzes JEPA's core ideas, differences from generative world models, and key controversies including representation collapse, decodability, and lack of empirical results.
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·4 min
LingBot-World 2.0 Meets SGLang: A Deep Dive into the Evolution of Real-Time Interactive World Models
SGLang-Diffusion now officially supports LingBot-World 2.0, delivering leaps in resolution and temporal consistency. With live sessions, chunked streaming, and camera control, world models achieve low-latency controllable interaction.
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·7 min
Training Machine Learning Models from Scratch: A Complete Beginner's Guide
A complete walkthrough of training machine learning models from scratch—covering problem definition, data preprocessing, algorithm selection, hyperparameter tuning, and evaluation, with tool recommendations for beginners.
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·6 min
Is AI Dream Interpretation Really Accurate? Unpacking the Technical Limits and the Truth Behind Psychological Suggestion
AI dream interpretation and personality analysis are trending on social media, but can AI really understand you? This article unpacks the technical limits and hidden risks—from the Barnum Effect to LLMs.
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·3 min
Guide to Identifying AI-Generated Videos: How to Tell AI Videos from Real Footage
Professional VFX artists and AI creators test methods to identify AI-generated videos, covering sharpening anomalies, unnatural bokeh, lighting inconsistencies, and more.
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Tutorials·3 min
Writing Web Novels with DeepSeek: A Complete Prompt Tutorial from Outline to Publication
A complete guide to writing web novels with DeepSeek's Deep Think mode using a five-step method: outline, causal review, characters, chapters, and body text, plus tips for passing platform review.
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