1 citations · 3 across the 7 of their papers we have counts for
7 papers
Propose, Solve, Verify: Self-Play Through Formal Verification
Alex Wilf, Pranjal Aggarwal, Bryan Parno +4
Training models through self-play alone (without any human data) has been a longstanding goal in AI, but its effectiveness for training large language models remains unclear, parti…
From Reproduction to Replication: Evaluating Research Agents with Progressive Code Masking
Gyeongwon James Kim, Alex Wilf, Louis-Philippe Morency +1
Recent progress in autonomous code generation has fueled excitement around AI agents capable of accelerating scientific discovery by running experiments. However, there is currentl…
Think Twice: Perspective-Taking Improves Large Language Models' Theory-of-Mind Capabilities
Alex Wilf, Sihyun Shawn Lee, Paul Pu Liang +1
Human interactions are deeply rooted in the interplay of thoughts, beliefs, and desires made possible by Theory of Mind (ToM): our cognitive ability to understand the mental states…
Comparative Knowledge Distillation
Alex Wilf, Alex Tianyi Xu, Paul Pu Liang +3
In the era of large scale pretrained models, Knowledge Distillation (KD) serves an important role in transferring the wisdom of computationally heavy teacher models to lightweight,…
Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications
Paul Pu Liang, Chun Kai Ling, Yun Cheng +6
In many machine learning systems that jointly learn from multiple modalities, a core research question is to understand the nature of multimodal interactions: how modalities combin…
Difference-Masking: Choosing What to Mask in Continued Pretraining
Alex Wilf, Syeda Nahida Akter, Leena Mathur +5
The self-supervised objective of masking-and-predicting has led to promising performance gains on a variety of downstream tasks. However, while most approaches randomly mask tokens…
Face-to-Face Contrastive Learning for Social Intelligence Question-Answering
Alex Wilf, Martin Q. Ma, Paul Pu Liang +2
Creating artificial social intelligence - algorithms that can understand the nuances of multi-person interactions - is an exciting and emerging challenge in processing facial expre…