معرفی
Alane Suhr is an Assistant Professor at UC Berkeley's Electrical Engineering and Computer Sciences (EECS) department and a member of the Berkeley Artificial Intelligence Research Lab (BAIR). Her research focuses on natural language processing (NLP), machine learning, and computer vision, emphasizing systems that interact with humans through language. She designs models and datasets for language grounding (e.g., NLVR) and develops algorithms for learning through interaction.
Education:
- PhD in Computer Science, Cornell University (2022), advised by Yoav Artzi
- Bachelor's in Computer Science and Engineering, Ohio State University (2016), with a Linguistics minor
Research Interests:
- Interactive systems for collaborative language use (e.g., CerealBar)
- Language grounding in multimodal contexts
- Embodied agents and reinforcement learning
- Generalization in NLP and the role of language in learning
Key Contributions:
- Developed the NLVR dataset for visual reasoning with natural language
- Pioneered work on SWE-Gym for training software engineering agents
- Contributed to research on language models' sensitivity and commonsense reasoning
Awards:
- ACM Doctoral Dissertation Award (2022)
- Outstanding Paper Awards at ACL 2023 and EMNLP 2021
Professional Activities:
- Organized workshops at ICML, NeurIPS, and ACL on topics like agents, generalization, and theory of mind
- Active in academic outreach and conference speaking (e.g., ICML, NeurIPS, CVPR)
Labs/Teams:
- Berkeley Artificial Intelligence Research (BAIR) Lab
- SWE-Gym research group
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