Leonard Salewski

Working with Transformers before it was cool 😎.
Post-training at @Aleph__Alpha | Ex intern at @Nvidia and @Bosch_AI

[Leonard Salewski @L_Salewski]

📢 #scholarGPT now can perform complex filtering operations like selecting a specific year 📅, making research even more efficient! 💪 Build with self-query from @langchain
Sign up on the waitlist to be the first to try it out https://t.co/iRS47YelE4! 🚀✨ #ChatGPT #Research🧑‍💻

[Leonard Salewski @L_Salewski]

@giffmana @andrew_n_carr We at @Aleph__Alpha also use a fork of torchtitan (lovingly called torchtitanic 🚢) for our pre- and partially for post-training.

[Aleph Alpha @Aleph__Alpha]

The velocity of a team depends on tooling. Our model factory pioneers Model Training as Code, letting us scale our hill-climbing efforts while maintaining acceleration. Read about it below, and stay tuned for more: https://t.co/ml09T1yLNn

[Leonard Salewski @L_Salewski]

A big thank you as well to @uni_tue and the International Max Planck Research School for Intelligent Systems (IMPRS-IS) @MPI_IS for providing an inspiring environment to learn and grow.

[Leonard Salewski @L_Salewski]

I am very happy to announce that I successfully defended my PhD thesis with the title "Advancing Multimodal Explainability: From Visual Reasoning to In-Context Impersonation".

[Leonard Salewski @L_Salewski]

I’m incredibly grateful to my supervisors @zeynepakata and Hendrik Lensch for their invaluable guidance and support throughout this journey.

I am also very thankful for all of the support from my two amazing groups, @ExplainableML and @CG_Tuebingen.

[Explainable Machine Learning @ExplainableML]

🎓PhD Spotlight: Leonard Salewski

Celebrate @L_Salewski, who will defend his PhD on 24th June! 📸🎉

Leonard has been a PhD student in the EML and @CG_Tuebingen groups at @uni_tue since May 2020. He is part of the IMPRS-IS program (@MPI_IS), jointly supervised by @zeynepakata and Hendrik Lensch.

His research centers on explainable and multimodal AI, and can be summarized in three key contributions:

💡 Natural Language Explanations: Developing models, datasets, and benchmarks for generation and evaluation of natural language explanations.
🗣️ Multimodal Learning: Specialized in vision-language and audio-language models.
🧠 LLM Impersonation: Investigating LLM's in-context impersonation ability with its impact on performance and bias in downstream tasks.

During his PhD, Leonard broadened his expertise through an internship at @nvidia, working on yet another multimodal challenge—enabling vision-language models to understand and describe actions in popular computer games. 🎮🤖

Join us in celebrating Leonard’s achievements and wishing him the best for his defense and future endeavors! 🥳🎓

👇 Check out his amazing works in this thread🔥

[Ekta Prashnani @ekta_prashnani]

We are hiring a Ph.D. intern (in-person at an NVIDIA, USA, office; California preferred) to work on multi-modal foundation models + agents / digital avatars. Ideal candidate is one with a track record of leading impactful research & the ability to obtain work permit in the US.

[Leonard Salewski @L_Salewski]

I’m happy to share that from today I’m starting a new position as a Research Intern at @nvidia.

I will be working with @ekta_prashnani, Joohwan Kim and Iuri Frosio.

[Leonard Salewski @L_Salewski]

🔊 Do you want to know how ZerAuCap generates audio captions without training on paired data?
Come to our #NeurIPS2023 ML for Audio talk at 11:10am in Room 228 - 230 or visit us at our poster from 1:30pm to 3:00pm!

[Leonard Salewski @L_Salewski]

🎉Excited to share that our project "Zero-shot audio captioning with audio-language model guidance and audio context keywords" is now live on @arxiv and has been accepted as an Oral in the ML for Audio Workshop @ #NeurIPS2023 🤩

(Paper link below 👇)

[Leonard Salewski @L_Salewski]

Are you interested in #LLM's and their ability to impersonate? Visit us during the upcoming poster session 2 at #1426, where Stephan Alaniz and I will present our #NeurIPS2023 Spotlight.

Paper: https://t.co/cz5K9xoZ2Y

[Leonard Salewski @L_Salewski]

Thrilled to share that my research on In-Context Impersonation in Large Language Models has been accepted as a spotlight paper at #NeurIPS2023 🎉🚀!
Joint work with Stephan Alaniz, Isabel Rio-Torto, @cpilab and @zeynepakata.
Check out the paper here: https://t.co/cz5K9xoZ2Y

[Leonard Salewski @L_Salewski]

🎷🎺 Excited to be at #NeurIPS2023!
Hit me up if you want to chat about my Spotlight paper on LLM impersonation, my ML-for-Audio workshop oral paper on zero-shot audio captioning or RAG for scientific #Chatbots.

[Leonard Salewski @L_Salewski]

Amazing collaboration with Stephan Alaniz, Isabel Rio-Torto, Eric Schulz (@cpilab) and Zeynep Akata (@zeynepakata)!

[Leonard Salewski @L_Salewski]

Do you want to know how we earned a #NeurIPS2023 Spotlight for our "In-Context Impersonation Reveals Large Language Models' Strengths and Biases" paper 🧐?

Buckle up and join for a ride on the rebuttal roller coaster 🎢🧵

[Leonard Salewski @L_Salewski]

✅ These findings earned us an "Excellent rebuttal" statement by the most skeptical reviewer and finally a Spotlight at #NeurIPS2023!
Read the revised paper on arXiv (https://t.co/Dk92FLtfN4) and visit our poster in #NewOrleans on December 12th in poster session 2.

[Leonard Salewski @L_Salewski]

This was joint work with Stefan Fauth, A. Sophia Koepke and Zeynep Akata (@zeynepakata). You can find the paper here https://t.co/Rs5FdneumY and we will present our work in #NewOrleans on December 16th at 11:10 am in Room 228 - 230.

[Leonard Salewski @L_Salewski]

🎉Excited to share that our project "Zero-shot audio captioning with audio-language model guidance and audio context keywords" is now live on @arxiv and has been accepted as an Oral in the ML for Audio Workshop @ #NeurIPS2023 🤩

(Paper link below 👇)