Jack Wang

Research Scientist @AdobeResearch. AI for human learning, productivity, and creativity. Prev. Ph.D. student @RiceECE. ex-intern @GoogleAI @NVIDIA @MSFTResearch

[Koustava Goswami @koustavagoswami]

🚀 PhD Internship (will be hosting one person): Diffusion LLMs (DLLM)

Looking for PhD students with:
• hands-on DLLM research
• First author published paper on DLLM (NeurIPS/ICLR/ICML/ACL/EMNLP)

Send Google Scholar + a brief introduction → DM
RT appreciated 🙏 #NLP #ML

[Jack Wang @_zichaowang]

@sunjiao123sun_ maybe a useless analogy but I sometimes think of a model as a bag of potato chips (or some other kind of commodity)... and there are shelves full of these w/ different flavor, shape, price, manufacturer etc. to choose in a supermarket. hard to pick at times!

[Vishakh Padmakumar @vishakh_pk]

Maybe don't use an LLM for _everything_?

Last summer, I got to fiddle again with content diversity @AdobeResearch @Adobe and we showed that agentic pipelines that mix LLM-prompt steps with principled techniques can yield better, more personalized summaries

[Siyan Sylvia Li @ COLM 🌉 @Sylvia_Sparkle]

🎉 Excited to announce that the 4th HCI+NLP workshop will be co-located with @EMNLP in Suzhou, China! 🌍📍 Join us to explore the intersection of human-computer interaction and NLP. 🧵 1/

[Jack Wang @_zichaowang]

@rose_e_wang @stanfordnlp Congrats!!

[Wanrong Zhu @ZhuWanrong]

📢 Adobe Research Document Intelligence Lab is hiring PhD research interns! 🚀 If you're passionate about vision-language challenges, MLLM, and cutting-edge multimodal research, we'd love to hear from you! Drop me an email and apply here: https://t.co/wAjTWJUVTg

[Ani Nenkova @ani_nenkova]

Building pdf-centric datasets?

Check out the Atlas tool, which offers streamlined functionality for collecting highlights, free-form drawings, reading behaviour analytics and surveys!

Paper: https://t.co/f5K6OQ8kmw

Demo: https://t.co/gasRzXHeKV

Repo: https://t.co/OdpgIhrGnU

[Jack Wang @_zichaowang]

@sunjiao123sun_ Congrats!!

[Jack Wang @_zichaowang]

@rose_e_wang @shashank_nlp

[Jack Wang @_zichaowang]

@KhaledSaab11 Cool, and glad to see it works well! My prev labmates did something similar for education where the conversation training data is collected by using LLMs to simulate a teacher and a student @shashank_nlp

paper: https://t.co/jWJO5ChFy3
code: https://t.co/fhmeb3SynU

[Jack Wang @_zichaowang]

@barrowjoseph this is also on my reading list next week :)

[Jack Wang @_zichaowang]

@skychwang Congrats!!

[Jack Wang @_zichaowang]

@lupantech Congrats!!

[CLS @ChengleiSi]

My biggest takeaway at #UIST2023 so far is that HCI people make really beautiful slides and demos!

[Sicheng Zhu @sichengzhuml]

Meet AutoDAN🚀, an interpretable adversarial attack to jailbreak LLMs. It generates attack prompts from scratch without manual input. These prompts are interpretable, strategic, and even transfer better to GPTs
Paper: https://t.co/sylcBjBFQA
Website: https://t.co/U7ksKzP7kW
…🧵

[Jack Wang @_zichaowang]

🥳 Congrats to the team and glad to (very briefly) be part of this journey during my internship there!

[Google AI @GoogleAI]

Our new English speaking practice experience provides real-time feedback on your grammar, clarity, & more. It's coming to Google Search on Android devices in Argentina, Colombia, India, Indonesia, Mexico, and Venezuela over the next few days. Learn more: https://t.co/INNNnoUwJV

[Jack Wang @_zichaowang]

@yuntiandeng @UWCheritonCS @VectorInst @allen_ai @YejinChoinka @srush_nlp @pmphlt Congrats!