As AC/author, I see an increasing trend of reviews criticizing results/approaches are not surprised. A scientific paper is not Sci-Fi. We value novel but reasonable approaches; rigor and comprehensive experiments to support the claims. Why do we expect a surprise in a paper?
If you're seeking an advisor in NLP, consider exploring options with recently appointed faculty. While established senior folks are well-known, junior folks shine as rising stars. In fact, many successful PhDs are the first few students of their advisor. Don't miss the chance!
Honored to be awarded Sloan Fellowship for our work on fairness, robustness, inclusion in Human Language Technology at #UCLANLP. The award belongs to my students and collaborators. Thank the NLP/ML/AI community and @UCLAengineering to support our work bit.ly/3pokCS7
ACL/ICML highlights threats of LMs like ChatGPT generating paper content. However, I'm more concerned about reviews. Example: ChatGPT generates confident but nonsensical reviews better than any R2. Now, it's AC's job to spot real reviews, but I lack confidence in doing so
The problem is much more beyond data bias. ML systems can be poorly calibrated (bit.ly/3hOI34M) and bias in the data might be amplified (bit.ly/37OEHd9, bit.ly/2V52al8) i.e., simply diversifying the data source might not solve the problem.
ML systems are biased when data is biased.
This face upsampling system makes everyone look white because the network was pretrained on FlickFaceHQ, which mainly contains white people pics.
Train the *exact* same system on a dataset from Senegal, and everyone will look African.
📢Please join me in congratulating Harold Li @LiLiunian for passing his Ph.D. defense today🎉 Harold has accomplished remarkable work and has been a pioneer in vision-language foundation models. 🧵 1/
PM me to grab☕️ at #NeurIPS2023. I am seeking PhD/postdocs to join @uclanlp in Fall24 in areas:
- Trustworthy NLP👼: Align LLM with human values and ensure they safe uses
- Multimodal🙈: Align vision and language
- LLM Reasoning🤔: LLMs in commonsense, logical, math reasoning
I am honored to be nominated by SIGDAT (the org that oversees EMNLP) to run for VP-elect with other awesome candidates who share the goal of improving our community. Please check your email to vote by 3/24.🗳️ See details: bit.ly/3ItRc0S
I’m at #ACL2023 this week. @uclanlp members 🐻 and my collaborators at @AmazonScience will present the following papers at the conferences on the topics around trustworthy NLP, vision-language, and language+reasoning. See details at web.cs.ucla.edu/~kwchang/blog/… 🧵👇
