Guangyuan Jiang retweeted
If you've noticed a distinct dialect emerging in frontier AI models and struggled to understand what they're talking about, you're not crazy!
We turned to psycholinguistics to investigate what makes the writing style so weird, and why this might be happening
🚨New preprint! 🧵
Guangyuan Jiang retweeted
Lio Wong will join Brown as an assistant professor next year! If you’re thinking about a PhD in computational models of cognition and language, Lio’s a fantastic researcher and person. Read more at their website:
web.mit.edu/zyzzyva/www/acad…
(or, apparently, on letterboxd)
![lio wong
I am an incoming assistant professor at Brown University in the CoPsy↗︎ department. I am recruiting graduate students, postdocs, and a lab manager for the 2027 academic year. I am currently a postdoc at Stanford with the Cognitive Tools Lab↗︎ , and work closely with the Computational Cognitive Science↗︎ and LINGO↗︎ labs at MIT.
My research asks how human minds pull off the computational feat of using language. People seem to learn language from very little data, all things considered. Our brains run on less energy than a laptop. How do we learn and use language so efficiently? How do we figure out what's useful for understanding someone else at any given time? How can we learn totally new things from language? Many of these questions intersect with broader questions about how people decide what they believe, or what is useful to think about, in any given situation. [more on Lio’s website]](https://pbs.twimg.com/media/HUEgjL-WMAAa439.jpg?name=orig)
ALT lio wong I am an incoming assistant professor at Brown University in the CoPsy↗︎ department. I am recruiting graduate students, postdocs, and a lab manager for the 2027 academic year. I am currently a postdoc at Stanford with the Cognitive Tools Lab↗︎ , and work closely with the Computational Cognitive Science↗︎ and LINGO↗︎ labs at MIT. My research asks how human minds pull off the computational feat of using language. People seem to learn language from very little data, all things considered. Our brains run on less energy than a laptop. How do we learn and use language so efficiently? How do we figure out what's useful for understanding someone else at any given time? How can we learn totally new things from language? Many of these questions intersect with broader questions about how people decide what they believe, or what is useful to think about, in any given situation. [more on Lio’s website]
ALT A screenshot of the lio_lab Letterboxd page, with a review for the movie Arrival
Guangyuan Jiang retweeted
Human thought is thought to be systematic.
Do reasoning models have systematicity of thought?
With @LakeBrenden , we study this question in our new preprint now on arxiv.
Guangyuan Jiang retweeted
Excited about new work from my CCN keynote (38m): youtu.be/v3J-vJfxhOE?si=aNHp…
We often choose between Bayesian and neural net models of behavior. But what if there's a spectrum, and combining makes better predictions? Introducing BBT w @akjagadish @jiang_gy
arxiv.org/abs/2608.22154
Guangyuan Jiang retweeted
What makes some sentences more memorable than others? Our new paper gathers memorability norms for 2500 sentences using a recognition paradigm, building on past work in visual and word memorability.
@GretaTuckute @bj_mdn @ev_fedorenko
Guangyuan Jiang retweeted
I'll be joining the University of Hong Kong (at Asia's World City) as an Assistant Professor of Psychology this October, where I’ll be starting my own lab on machine-augmented cognition.
The lab aims to bridge AI and Cognitive Science to develop new theories and tools that can predict, explain, and ultimately shape the behavior of both humans and AI systems.
I'll be recruiting at all levels (PhDs, postdocs, interns, visiting students). Please feel free to DM if you're interested in joining.
Guangyuan Jiang retweeted
I'm joining Princeton as an Associate Professor of Computer Science and Psychology this fall! Princeton is ambitiously investing in AI and Natural & Artificial Minds, and I'm excited for my lab to contribute. Recruiting postdocs and Ph.D. students in CS and Psychology — join us!
ALT Nassau Hall. Photo credit to Debbie and John O'Boyle
Guangyuan Jiang retweeted
🔆 I'm hiring! 🔆
There are two open positions:
1. Summer research position (best for master's or graduate student); focus on computational social cognition.
2. Postdoc (currently interviewing!); focus on computational social cognition and AI safety.
sites.google.com/corp/site/s…
Guangyuan Jiang retweeted
I'm proud of our group's presentations at #CogSci2024 – come check them out!
1: Today 10:30am–noon in J.F. Stall: "Finding structure in logographic writing with library learning" led by @jiang_gy. This work won the Sayan Gul award for best undergraduate student paper!
Guangyuan Jiang retweeted
What if we equipped LLMs with cutting-edge code refactoring tools? 🤖🛠
Presenting LILO: Library Induction with Language Observations
📝 arxiv.org/abs/2310.19791
💻 github.com/gabegrand/lilo
+ Lio Wong, @mattlbowers, @theo_olausson, Muxin Liu, Josh Tenenbaum & @jacobandreas️
🧵⬇️
Guangyuan Jiang retweeted
Today in Nature, we show how a standard neural net, optimized for compositional skills, can mimic human systematic generalization (SG) in a head-to-head comparison. This is the capstone of a 5 year effort with Marco Baroni to make progress on SG. (1/8) nature.com/articles/s41586-0…
Guangyuan Jiang retweeted
Bridging the data gap between children and large language models
By @mcxfrank
Free access until October 20th: authors.elsevier.com/a/1hgpQ…
Guangyuan Jiang retweeted
Cognitive scientists! You don’t want to miss our #CogSci2023 Workshop: “How does the mind discover useful abstractions?” cogsci-abstractions-workshop… Co-organized w/ the peerless @wkvong + Lio Wong + @marcelomattar!
Guangyuan Jiang retweeted
How can we leverage a theory of linguistic meaning to build machines that think in more human-like ways?
New paper with Lio Wong, @alexanderklew, @noahdgoodman, @vmansinghka, @jacobandreas, and Josh Tenenbaum.
arxiv.org/abs/2306.12672
Guangyuan Jiang retweeted
Personal update: I'll be starting in July 2024 as an Assistant Professor @UWCheritonCS and a Faculty Member @VectorInst! Looking forward to working with all the amazing folks!
Prospective students: if you are interested in NLP and/or comp. linguistics, please consider applying!
Guangyuan Jiang retweeted
The core differences between GPT4 and 3.5 is the ability to perform complex tasks. In this post, we present a complete roadmap towards LLMs complex reasoning abilities, covering the full development stages: pretraining, SFT, RL, CoT prompting, and eval. yaofu.notion.site/Towards-Co…
Guangyuan Jiang retweeted
Can a large language model be used as a "cognitive model" - meaning, a scientific artifact that helps us reason about the emergence of complex behavior and abstract representations in the human mind? My answer is YES.
Why and under what conditions? 🧵
ALT Figure showing a computational artifact being used as a model of a human system, with potential interventions of interest listed
Guangyuan Jiang retweeted
This semester I've been teaching a seminar titled "Computational Linguistics and Cognitive Science". We've been reading a mix of cognitively-inspired evaluations of language models and papers using LMs as cognitive models. It's been fun docs.google.com/document/d/1…
Guangyuan Jiang retweeted
Job alert!🚨🧠🛠️ We @cogtoolslab @Stanford @StanfordPsych are recruiting a full-time lab manager to join our team Summer/Fall 2023. More information available here: cogtoolslab.github.io/prospe…. Please share widely! 🙏
Guangyuan Jiang retweeted
Have a look at our website😜, work about revealing counterintuitive discoveries and insights between LfI(Learning from Intuition) and LfD(Learning from Dynamics).
lishiqianhugh.github.io/LfID…