<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Taewoon Kim</title><description>AI researcher and engineer.</description><link>https://taewoon.kim/</link><item><title>My Neuro-Symbolic Meta-Policies paper was accepted at ISWC 2026</title><link>https://taewoon.kim/2026/07/28/roomkg-meta-policies-iswc-2026/</link><guid isPermaLink="true">https://taewoon.kim/2026/07/28/roomkg-meta-policies-iswc-2026/</guid><description>Why I want agents to choose their memory rules, not hide them</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>neuro-symbolic AI</category><category>knowledge graph</category><category>reinforcement learning</category><author>Taewoon Kim</author></item><item><title>My Co-Learning paper was accepted at RO-MAN 2026</title><link>https://taewoon.kim/2026/06/19/co-learning-ro-man-2026/</link><guid isPermaLink="true">https://taewoon.kim/2026/06/19/co-learning-ro-man-2026/</guid><description>Why I want a robot to remember how a team worked before</description><pubDate>Fri, 19 Jun 2026 00:00:00 GMT</pubDate><category>human-robot interaction</category><category>knowledge graph</category><category>episodic memory</category><author>Taewoon Kim</author></item><item><title>My KG Memory Transfer paper was accepted at RLC 2026</title><link>https://taewoon.kim/2026/05/22/kg-memory-transfer-rlc-2026/</link><guid isPermaLink="true">https://taewoon.kim/2026/05/22/kg-memory-transfer-rlc-2026/</guid><description>Why I care about learning which symbolic facts should persist</description><pubDate>Fri, 22 May 2026 00:00:00 GMT</pubDate><category>reinforcement learning</category><category>knowledge graph</category><category>neuro-symbolic AI</category><author>Taewoon Kim</author></item><item><title>Building embedded Python bindings for ArcadeDB</title><link>https://taewoon.kim/2026/01/28/building-arcadedb-embedded-python-bindings/</link><guid isPermaLink="true">https://taewoon.kim/2026/01/28/building-arcadedb-embedded-python-bindings/</guid><description>Why I wanted a lightweight, local-first way to use ArcadeDB from Python</description><pubDate>Wed, 28 Jan 2026 00:00:00 GMT</pubDate><category>ArcadeDB</category><category>Python</category><category>open source</category><category>databases</category><category>graphs</category><category>embeddings</category><category>JVM</category><category>humemai</category><author>Taewoon Kim</author></item><item><title>What Is a Knowledge Graph? A Practical Guide Across RDF and Property Graphs</title><link>https://taewoon.kim/2025/10/06/knowledge-graph/</link><guid isPermaLink="true">https://taewoon.kim/2025/10/06/knowledge-graph/</guid><description>Formal basics, real systems, and why industry favors property graphs while RDF remains important</description><pubDate>Mon, 06 Oct 2025 00:00:00 GMT</pubDate><category>knowledge-graphs</category><category>rdf</category><category>property-graphs</category><category>semantic-web</category><category>neo4j</category><category>jena</category><category>neptune</category><category>graphdb</category><category>data-engineering</category><author>Taewoon Kim</author></item><item><title>From REINFORCE to PPO: The Complete On-Policy RL Journey</title><link>https://taewoon.kim/2025/08/07/on-policy-rl/</link><guid isPermaLink="true">https://taewoon.kim/2025/08/07/on-policy-rl/</guid><description>Understanding the evolution from basic policy gradients to modern LLM fine-tuning algorithms</description><pubDate>Thu, 07 Aug 2025 00:00:00 GMT</pubDate><category>reinforcement-learning</category><category>policy-gradients</category><category>ppo</category><category>grpo</category><category>llm-training</category><category>deep-learning</category><category>pytorch</category><category>tutorial</category><author>Taewoon Kim</author></item><item><title>From VAEs to Diffusion Models: A Step-by-Step Journey</title><link>https://taewoon.kim/2025/05/28/vae-diffusion/</link><guid isPermaLink="true">https://taewoon.kim/2025/05/28/vae-diffusion/</guid><description>Understanding the evolution of generative models through practical implementations</description><pubDate>Wed, 28 May 2025 00:00:00 GMT</pubDate><category>vae</category><category>diffusion-models</category><category>generative-ai</category><category>deep-learning</category><category>pytorch</category><category>tutorial</category><author>Taewoon Kim</author></item><item><title>Discrete vs. Continuous: A Tale of Two Approaches to Language Modeling</title><link>https://taewoon.kim/2025/03/09/discrete-vs-continuous/</link><guid isPermaLink="true">https://taewoon.kim/2025/03/09/discrete-vs-continuous/</guid><description>Balancing n-gram models and neural networks for next-token prediction</description><pubDate>Sun, 09 Mar 2025 00:00:00 GMT</pubDate><category>language-modeling</category><category>discrete-search</category><category>neural-networks</category><category>chain-of-thought</category><category>n-gram</category><author>Taewoon Kim</author></item><item><title>RL vs SL: Understanding Their Roles in Large Language Models</title><link>https://taewoon.kim/2025/02/06/sl-vs-rl-gradients/</link><guid isPermaLink="true">https://taewoon.kim/2025/02/06/sl-vs-rl-gradients/</guid><description>Bridging Reinforcement Learning and Supervised Learning in LLMs</description><pubDate>Thu, 06 Feb 2025 00:00:00 GMT</pubDate><category>reinforcement-learning</category><category>supervised-learning</category><category>llm</category><category>machine-learning</category><category>RL</category><category>SL</category><author>Taewoon Kim</author></item><item><title>Understanding Maximum Likelihood Estimation</title><link>https://taewoon.kim/2025/02/05/mle/</link><guid isPermaLink="true">https://taewoon.kim/2025/02/05/mle/</guid><description>A Deep Dive into MLE, Loss Functions, and Beyond</description><pubDate>Wed, 05 Feb 2025 00:00:00 GMT</pubDate><category>statistics</category><category>machine-learning</category><category>estimation</category><category>likelihood</category><author>Taewoon Kim</author></item><item><title>Sequential Decision-Making with Transformers</title><link>https://taewoon.kim/2024/12/15/sequential/</link><guid isPermaLink="true">https://taewoon.kim/2024/12/15/sequential/</guid><description>Offline RL, Behavior Cloning, and The Magic of Sequence Modeling</description><pubDate>Sun, 15 Dec 2024 00:00:00 GMT</pubDate><category>transformers</category><category>offline-rl</category><category>sequence-modeling</category><category>decision-transformer</category><author>Taewoon Kim</author></item><item><title>From 1+1 in Assembly to LLMs: The Evolution of Computing Abstraction</title><link>https://taewoon.kim/2024/11/12/1+1/</link><guid isPermaLink="true">https://taewoon.kim/2024/11/12/1+1/</guid><description>Tracing the Layers from Machine Code to Natural Language Interfaces</description><pubDate>Tue, 12 Nov 2024 00:00:00 GMT</pubDate><category>computing</category><category>programming languages</category><category>abstraction layers</category><category>assembly</category><category>C</category><category>Java</category><category>Python</category><category>LLMs</category><author>Taewoon Kim</author></item><item><title>The Problems with p-values</title><link>https://taewoon.kim/2024/10/16/p-value-bayesian/</link><guid isPermaLink="true">https://taewoon.kim/2024/10/16/p-value-bayesian/</guid><description>Why Frequentist Significance Testing Falls Short</description><pubDate>Wed, 16 Oct 2024 00:00:00 GMT</pubDate><category>statistics</category><category>p-values</category><category>data science</category><category>frequentist vs bayesian</category><category>statistical significance</category><category>hypothesis testing</category><author>Taewoon Kim</author></item><item><title>Can the Transformer be viewed as a special case of a Graph Neural Network (GNN)?</title><link>https://taewoon.kim/2024/10/15/transformer-vs-gnn/</link><guid isPermaLink="true">https://taewoon.kim/2024/10/15/transformer-vs-gnn/</guid><description>A natural language text can be seen as a knowledge graph</description><pubDate>Tue, 15 Oct 2024 00:00:00 GMT</pubDate><category>GNN</category><category>transformer</category><category>knowledge graph</category><category>NLP</category><category>natural language</category><author>Taewoon Kim</author></item><item><title>Is supervised learning a special type of reinforcement learning?</title><link>https://taewoon.kim/2024/09/22/rl-sl/</link><guid isPermaLink="true">https://taewoon.kim/2024/09/22/rl-sl/</guid><description>The reason why reinforcement learning is such a hard problem</description><pubDate>Sun, 22 Sep 2024 00:00:00 GMT</pubDate><category>reinforcement learning</category><category>supervised learning</category><category>contextual bandits</category><author>Taewoon Kim</author></item><item><title>Playing around with Hugging Face Llama 3.1 locally</title><link>https://taewoon.kim/2024/08/29/llama/</link><guid isPermaLink="true">https://taewoon.kim/2024/08/29/llama/</guid><description>4bit quantization is amazing</description><pubDate>Thu, 29 Aug 2024 00:00:00 GMT</pubDate><category>llm</category><category>llama</category><category>hugging face</category><author>Taewoon Kim</author></item><item><title>Training a GCN-based edge classifier</title><link>https://taewoon.kim/2024/08/21/gnn-edge-classifier/</link><guid isPermaLink="true">https://taewoon.kim/2024/08/21/gnn-edge-classifier/</guid><description>Exploring the challenges and strategies for effective edge classification with graph neural networks (GNNs)</description><pubDate>Wed, 21 Aug 2024 00:00:00 GMT</pubDate><category>knowledge graph</category><category>machine learning</category><category>deep learning</category><category>gnn</category><author>Taewoon Kim</author></item><item><title>A machine with human-like memory systems</title><link>https://taewoon.kim/2023/12/21/human-memory/</link><guid isPermaLink="true">https://taewoon.kim/2023/12/21/human-memory/</guid><description>Can machines think like us?</description><pubDate>Thu, 21 Dec 2023 00:00:00 GMT</pubDate><category>reinforcement learning</category><category>AI</category><category>human memory</category><category>knowledge graph</category><category>machine learning</category><category>deep learning</category><category>PhD</category><category>LLM</category><category>symbolic AI</category><category>GOFAI</category><category>humemai</category><author>Taewoon Kim</author></item><item><title>Using ChatGPT is just so great</title><link>https://taewoon.kim/2023/12/14/chatgpt/</link><guid isPermaLink="true">https://taewoon.kim/2023/12/14/chatgpt/</guid><description>This really can do a lot of things, although it&apos;s still biased.</description><pubDate>Thu, 14 Dec 2023 00:00:00 GMT</pubDate><category>ChatGPT</category><category>AI</category><category>GPT4</category><category>DALL-E</category><author>Taewoon Kim</author></item><item><title>My new website</title><link>https://taewoon.kim/2023/12/12/new-website/</link><guid isPermaLink="true">https://taewoon.kim/2023/12/12/new-website/</guid><description>My boring old website had to be gone.</description><pubDate>Tue, 12 Dec 2023 00:00:00 GMT</pubDate><category>website</category><author>Taewoon Kim</author></item><item><title>Bloom: A 176b-parameter open-access multilingual language model</title><link>https://taewoon.kim/2022/11/09/bloom/</link><guid isPermaLink="true">https://taewoon.kim/2022/11/09/bloom/</guid><description>Unlocking the power of open-source language models</description><pubDate>Wed, 09 Nov 2022 00:00:00 GMT</pubDate><category>llm</category><category>prompt</category><category>gpt</category><category>bloom</category><author>Taewoon Kim</author></item><item><title>Room classifier</title><link>https://taewoon.kim/2022/02/28/room/</link><guid isPermaLink="true">https://taewoon.kim/2022/02/28/room/</guid><description>A simple room classifier made using EfficientNet and PyTorch Lightning</description><pubDate>Mon, 28 Feb 2022 00:00:00 GMT</pubDate><category>room</category><category>classifier</category><author>Taewoon Kim</author></item><item><title>Promptsource: An integrated development environment and repository for natural language prompts</title><link>https://taewoon.kim/2022/02/02/promptsource/</link><guid isPermaLink="true">https://taewoon.kim/2022/02/02/promptsource/</guid><description>Revolutionizing NLP with a collaborative hub for crafting and sharing prompts</description><pubDate>Wed, 02 Feb 2022 00:00:00 GMT</pubDate><category>llm</category><category>prompt</category><category>gpt</category><category>promptsource</category><author>Taewoon Kim</author></item><item><title>IGLU: interactive grounded language understanding in a collaborative environment</title><link>https://taewoon.kim/2021/12/16/iglu/</link><guid isPermaLink="true">https://taewoon.kim/2021/12/16/iglu/</guid><description>We won the NeurIPS 2021 competition</description><pubDate>Thu, 16 Dec 2021 00:00:00 GMT</pubDate><category>IGLU</category><category>reinforcement learning</category><category>NeurIPS</category><category>competition</category><author>Taewoon Kim</author></item><item><title>Multitask prompted training enables zero-shot task generalization</title><link>https://taewoon.kim/2021/10/15/multi-task/</link><guid isPermaLink="true">https://taewoon.kim/2021/10/15/multi-task/</guid><description>Achieving superior zero-shot generalization through explicit multitask prompting</description><pubDate>Fri, 15 Oct 2021 00:00:00 GMT</pubDate><category>llm</category><category>prompt</category><category>gpt</category><author>Taewoon Kim</author></item><item><title>EmoBERTa: Speaker-aware emotion recognition in conversation with RoBERTa</title><link>https://taewoon.kim/2021/08/26/emoberta/</link><guid isPermaLink="true">https://taewoon.kim/2021/08/26/emoberta/</guid><description>Achieving state-of-the-rrt emotion recognition in conversations with a simple RoBERTa-based approach</description><pubDate>Thu, 26 Aug 2021 00:00:00 GMT</pubDate><category>llm</category><category>bert</category><category>roberta</category><category>emotion</category><category>erc</category><author>Taewoon Kim</author></item><item><title>Generalizing MLPs with dropouts, batch normalization, and skip connections</title><link>https://taewoon.kim/2021/08/18/age-gender/</link><guid isPermaLink="true">https://taewoon.kim/2021/08/18/age-gender/</guid><description>A simple age-gender classification model using Arcface embeddings and MLPs</description><pubDate>Wed, 18 Aug 2021 00:00:00 GMT</pubDate><category>mlp</category><category>age</category><category>gender</category><author>Taewoon Kim</author></item></channel></rss>