Franklin Wang Email & Phone Number

California, United States

Projects:Nearest Neighbor Normalization Improves Multimodal Retrieval (in collaboration with Stanford NLP)- Discovered general debiasing method for multimodal retrieval tasks, consistently improving performance of all tested contrastive models (eg. CLIP, BLIP, BEiT-3, SigLIP) on text/image retrieval benchmarks without any training- Improved gender.

San Francisco Bay Area

- Implement DPO into Anyscale training library and accelerate training with asynchronous preprocessing of reference model probabilities with Ray- Conduct case study on preference tuning for summarization: generated synthetic preference data with Q&A-based summarization metric to finetune Mistral-7B with multi-iteration online DPO, beating GPT-4o.

- Researched graph neural net approaches to modeling the dynamics of small molecules, leading to >300 times speedup compared to simulations- Created custom data loading caching system to significantly reduce redundant graph neural net calculations

- Contrastively train Bi-LSTM model using TensorFlow to improve sentence embeddings for empathy detection in call center transcripts- Experiment with multimodal (audio + text) models for emotion prediction

- Taught and develop the curriculum for 40 Python programming class sessions that have reached a total of over 300 students so far- Organized the Code2K 2021 Spring and Summer events, which reached over 200 students around the world (eg. Kazakhstan, Canada) and had 18 total workshop sessions ranging from machine learning to Discord bots- Developed the.

- Created and taught the curriculum which made complex topics in deep learning like gradient descent and linear algebra more accessible to high school students

- Used C++ and C# for mesh decimation, sensor tracking & registration, navigation visualization, and sensor accuracy evaluation- Worked frequently with quaternions, rotation matrices, and vectors

Computer Science And Mathematics Double Major

Education record