Guangyuan Jiang

Computational Cognitive Science & Language 🤖 PhD Student at MIT BCS 🤯 Thinking, Language, and Abstraction 👋 Prev @PKU1898

[Simon Schug @ssmonsays]

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.

[Brenden Lake @LakeBrenden]

Excited about new work from my CCN keynote (38m): https://t.co/men7qMp7Om

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

https://t.co/9JkcvOO2mX

[Thomas Hikaru Clark | @COLM @thomashikaru]

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

[Zhu Jian-Qiao @JQ_Zhu]

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.

[Brenden Lake @LakeBrenden]

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!

[Sydney Levine @sydneymlevine]

🔆 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.

https://t.co/Fe3PfbTkns

[Roger Levy @roger_p_levy]

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 @jiang_gy]

@WenhuChen happy to share a battery of multimodal few-shot reasoning tasks we designed: https://t.co/d705nfMbAZ. We studied the multimodal in-context learning problem from a word learning perspective.

[Gabe Grand @ COLM 2026 @gabe_grand]

What if we equipped LLMs with cutting-edge code refactoring tools? 🤖🛠

Presenting LILO: Library Induction with Language Observations
📝 https://t.co/y0LiAMxoMq
💻 https://t.co/oBoVWrcLvi

+ Lio Wong, @mattlbowers, @theo_olausson, Muxin Liu, Josh Tenenbaum & @jacobandreas️
🧵⬇️

[Brenden Lake @LakeBrenden]

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) https://t.co/DJMJLEoshT

[Trends in Cognitive Sciences @TrendsCognSci]

Bridging the data gap between children and large language models

By @mcxfrank

Free access until October 20th: https://t.co/PZGSCcaVFq

[Judy Fan @judyefan]

Cognitive scientists! You don’t want to miss our #CogSci2023 Workshop: “How does the mind discover useful abstractions?” https://t.co/fBWH2L3jUr Co-organized w/ the peerless @wkvong + Lio Wong + @marcelomattar!

[Gabe Grand @ COLM 2026 @gabe_grand]

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.

https://t.co/0aFsD2Ihr9

[Freda Shi @fredahshi]

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!

[Yao Fu @Francis_YAO_]

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. https://t.co/1rzx02LNlx

[Michael C. Frank @mcxfrank]

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? 🧵

[Tal Linzen @tallinzen]

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 https://t.co/5VtSiclA1P

[Judy Fan @judyefan]

Job alert!🚨🧠🛠️ We @cogtoolslab @Stanford @StanfordPsych are recruiting a full-time lab manager to join our team Summer/Fall 2023. More information available here: https://t.co/Fewky1FJ3N. Please share widely! 🙏

[Kewen Wu @wwkkkww19]

Have a look at our website😜, work about revealing counterintuitive discoveries and insights between LfI(Learning from Intuition) and LfD(Learning from Dynamics).
https://t.co/Rd9yelkKRj

[Guangyuan Jiang @jiang_gy]

@kaiwynd @IllinoisCS @YunzhuLiYZ Congrats!