Bingsen Chen
Scholar

Bingsen Chen

Google Scholar ID: f2GotT4AAAAJ
New York University, New York University Shanghai
Natural Language ProcessingDeep Learning
Citations & Impact
All-time
Citations
20
 
H-index
1
 
i10-index
1
 
Publications
2
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Paper on multi-answer QA accepted to ACL 2025 Findings; presenting work ProPer at NAACL 2024 in collaboration with Xiaocheng Yang and Professor Wilson Tam.
Research Experience
  • Joining AWS Bedrock as an Applied Science intern this summer, working on explanability of agents.
Education
  • PhD student - NYU Courant and NYU Shanghai, advised by Professor Chen Zhao. B.S. in Data Science (AI track) from NYU Shanghai, advised by Professor Wilson Tam and Professor Mathieu Lauriere.
Background
  • Research interests: Natural Language Processing and Deep Learning. Recently thinking about how to best empower reasoning models with the retrieval ability, so that they can reliably solve complex real-world tasks involving knowledge-intensive reasoning; whether we can automate the error characterization process of LLM's highly complex reasoning chains; fascinated by novel and smart decoding strategies and embedding learning methods.
Miscellany
  • Contact: Email, Twitter, LinkedIn, GitHub, Google Scholar
Co-authors
0 total
Co-authors: 0 (list not available)