I’m looking for a summer research intern at Microsoft Semantic Machines to work on agent-related topics. If you are a current PhD student with a track record in this area and still looking for internship, apply here and let me know (DM): x.com/ben_vandurme/s…

[New Preprint] Check out our new research on knowledge distillation in the context of humor generation:

'Small but Funny: A Feedback-Driven Approach to Humor Distillation'

Link: arxiv.org/abs/2402.18113

🧵1/N

My course 'Recent Advances on Foundation Models' at Waterloo is public. Check out cs.uwaterloo.ca/~wenhuche/teac….

In the course, we cover lots of interesting topics including transformers, LLM, pre-training, quantization, sparse attention, instruction tuning, RLHF, prompting, Vision…

📣 Announcing the FigLang 2024 shared tasks!

🌎 Multlingual euphemism detection: codabench.org/competitions/1…

🖼️ Multimodal visual entailment: codabench.org/competitions/1…

📅 Check out the timelines here: sites.google.com/view/figlang20…

Looking forward to your submissions!

Exciting new shared task on visual NLI that focuses on explainability of figurative images FigLangWorkshop

Our training data consisting of 6377 samples paired with natural language explanations are now available. Go check it out
codabench.org/competitions/1…

#NLProc #NAACL2024

Consider submitting your work related to personalization of Generative AI to our workshop to be held in Malta! 😀

We're organizing a workshop on personalization of Gen-AI at Malta.
Submit and attend to immerse in the first principled town-square for conversations surrounding your favorite topics.
Website: genpersonalization.github.io
Submission: softconf.com/eacl2024/PERSO…

📢 Check out the accepted EMNLP'23 papers from our UBC NLP group!
Congratulations to all the authors and stay tuned for the camera-ready preprints! 🎉
#EMNLP2023 #ubcnlp #NLProc

Our MemeCap was accepted to #EMNLP2023 Main! See you all in Singapore 😀

Check out our new paper! It was pleasant working with Bodhisattwa Majumder and Niket on interesting topic :)

We were all waiting for Learning on Graphs Conference 2023🤩
And it even recognized our work as spotlight!!
We had a closer look at virtual nodes, which are used a lot but only for graph classification and without theoretical investigation.
w/ #EunJeongHwang Shib Sankar Dasgupta #TengfeiMa
⬇️

🌟 An Analysis of Virtual Nodes in Graph Neural Networks for Link Prediction, Authors: EunJeong Hwang, Veronika Thost, Shib Sankar Dasgupta, Tengfei Ma