Yannic Kilcher

TiDAR: Think in Diffusion, Talk in Autoregression (Paper Analysis)

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Titans: Learning to Memorize at Test Time (Paper Analysis)

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[Paper Analysis] The Free Transformer (and some Variational Autoencoder stuff)

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[Video Response] What Cloudflare's code mode misses about MCP and tool calling

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[Paper Analysis] On the Theoretical Limitations of Embedding-Based Retrieval (Warning: Rant)

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AGI is not coming!

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Context Rot: How Increasing Input Tokens Impacts LLM Performance (Paper Analysis)

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Energy-Based Transformers are Scalable Learners and Thinkers (Paper Review)

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On the Biology of a Large Language Model (Part 2)

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On the Biology of a Large Language Model (Part 1)

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[GRPO Explained] DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

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Byte Latent Transformer: Patches Scale Better Than Tokens (Paper Explained)

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Safety Alignment Should be Made More Than Just a Few Tokens Deep (Paper Explained)

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TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters (Paper Explained)

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GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

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Were RNNs All We Needed? (Paper Explained)

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Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters (Paper)

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Privacy Backdoors: Stealing Data with Corrupted Pretrained Models (Paper Explained)

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Scalable MatMul-free Language Modeling (Paper Explained)

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Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools (Paper Explained)

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xLSTM: Extended Long Short-Term Memory

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[ML News] OpenAI is in hot waters (GPT-4o, Ilya Leaving, Scarlett Johansson legal action)

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ORPO: Monolithic Preference Optimization without Reference Model (Paper Explained)

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