Happy to have my first Nature paper. Thank you @CAIS for the collaboration nature.com/articles/s4158…
AI Researcher @CapitalOne AIF. Ex @TechAtBloomberg @BigScienceW @SFResearch @hkust. Working on multilingual and LLM #NLProc.
Joined December 2011
- 💡Have you ever wondered whether vision–language models can be easily tricked by adding landmarks or flags to an image? In the spirit of the holidays🎄, we show that VLMs can indeed be easily confused like "Confused Tourists" ✈️: their performance drops significantly when suchCraving holiday-themed paper? Say less🎄 Turns out, Vision Language Models are Confused Tourists ✈️😵💫 We show that adversarially induced cultural scenes significantly impair VLM cultural comprehension and trigger potential bias #NLProc #multimodal #robustness /thread 🧵(1/8)
- Extremely proud to share that our paper: 𝐓𝟏: 𝐀 𝐓𝐨𝐨𝐥-𝐎𝐫𝐢𝐞𝐧𝐭𝐞𝐝 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐃𝐚𝐭𝐚𝐬𝐞𝐭 𝐟𝐨𝐫 𝐌𝐮𝐥𝐭𝐢-𝐓𝐮𝐫𝐧 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠 has been accepted into @NeurIPSConf 2025! We introduce T1, a tool-augmented, multi-domain,
- Scaling Law! @NeurIPSConfNeurIPS has a record-breaking number of 25,000 submissions this year already. It's crazy but not entirely unexpected. Here is the scaling over the years, with a conservative projection. How do we even run a conference and review at this massive scale?
- this is really true! You always need somebody who is good at framing and marketing research + people who have solid ideas and know how to write solid papers 😀 Thank you for sharing your secrets of success @YiTayMLSharing a pretty interesting story about how two research projects can end up with a very different outcome despite almost similar type of “work” being done, just because of research motivation and taste. Here, I was on the side that got rekt so I thought I would share my lessons





