Mongolian is the only language in the world written from top to bottom, making it critical for studying universal reading behaviour. Yaqian Bao Yaqian (borogjoon) Bao presents "Perceptual Span in Mongolian Text Reading" at Words In The World Words in the World International Conference #WOW2023

Applications open for student researchers (formerly interns)! deepmind.google/about/careers/… There will likely be projects with me+colleagues (including Kevin Miller!) on comp neuro, and ML directions on memory+retrieval. Locations in NYC/London. Reach out if any questions!

First up from the Reading Lab: PhD student Yaqian Bao presents Multilingual Eye movement Corpus #MECO data from Mongolian Victor Kuperman Noam Siegelman in “Comparative Analysis of Saccadic Main Sequences in Horizontal and Vertical Reading”

Here's my conversation with Edward Gibson (Ted Gibson, Language Lab MIT), a linguist and psychologist at MIT, heading the MIT Language Lab. We talk all about the human language: syntax, grammar, structure, theories of language, evolution of language, how it reflects culture, and of course LLMs,

Delighted to share our perspective piece “Language is primarily a tool for communication rather than thought” now out in Nature: nature.com/articles/s4158… (with long-term collaborators (and friends) steven t. piantadosi and Ted Gibson, Language Lab MIT) 1/n

Travel awards available from Women in Cognitive Science for junior women researchers to attend and network at Psychonomics in November. Deadline 9/15/24. womenincogsci.org/awards

🎉 Thrilled to share that I had the honor of presenting our research Victor Kuperman Reading Lab at the 22nd European Conference on Eye Movement and was awarded the Keith Rayner Award!!!!🙌 Thank you to everyone who supported me on this journey. #ECEM2024 #KeithRaynerAward

🚨Calling psych PhD students and postdocs! 🚨Want to highlight a paper that had a big impact, doesn't get enough attention, or drew you to the field? Apply to write a Journal Club article with us! nature.com/articles/s4415… 1/3

Everyone should be using this website to understand the inside of an LLM. I'm surprised more people don't know about it. Benjamin Bycroft made this beautiful interactive visualization to show exactly how the inner workings of each of the weights of an LLM work. Here's a link: