khoomeik Goto Github PK

Currently:

• 🙈 Developing multimodal code-generation for extracting web data at scale @ Reworkd AI (YC S23)
• 🔬 Understanding how vision-language models build syntactic representations
• ⤴ Scaling up neural satisfiability solvers
• 📈 Exploring how scaling laws scale with data complexity
• 👾 Fine-tuning LLM agents to play games with online RL
• ↩️ Replacing backprop in autoregressive language models

Previously:

• 🎓 Graduated from Carnegie Mellon '23 with Honors in Computer Science
  • 🔍 My thesis on vision-language semantics is cited by Google Brain, Meta AI, Stanford, etc.
• 📄 Published papers at ACL, ICLR, EMNLP, & EACL conferences and NeurIPS & ICCV workshops
• 🧑‍💻 Exited a content research micro-SaaS with some cool clustering, fact checking, & generation features
• 🤖 Fine-tuned language models at Microsoft AI over summer '22
• 🛠️ Worked on information retrieval, question answering, & summarization at various startups '20-21
• 🧠 Developed brain-computer interfaces with NSF funding and placed 1st nationally at NeuroTechX '20
• 🏆 Won 10+ hackathons including 1st @ Facebook '19, 2nd @ UCLA '19, 3rd @ MIT '20

Warning: has not learnt the Bitter Lesson. Prone to getting nerd-sniped by linguistically & cognitively motivated AI research directions.