Hi, I am Sebastian and I am a Ph.D. candidate in Computer Science. I am working on methods that allow humans and machine learning models to collaborate in semantically meaningful ways. I recently defended my Ph.D. - if you are interested in seeing what I was working on, here are my slides.
I am supported by a Siebel Scholarship and an Adobe Research Fellowship and have previsously interned at the Bruno Kessler Foundation, at IBM Research, and at Adobe Research. For more information about me, you can have a look at my CV (last updated Oct '19). For an up-to-date list of publications, check out my google scholar.
Feel free to contact me with requests for discussions, questions about my research or whatever you feel the need of talking to me about. My email-address is my_last_name (at) seas.harvard.edu or you can follow me on twitter @SebGehr.
- exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models
- Encoder-Agnostic Adaptation for Conditional Language Generation
- Generating Abstractive Summaries with Finetuned Language Models
- Visual Interactions with Deep Models through Collaborative Semantic Inference
- Evaluating an Automated Mediator for Joint Narratives in a Conflict Situation
- GLTR: Statistical Detection and Visualization of Generated Text