Junlin Wang
Scholar

Junlin Wang

Google Scholar ID: s1Qw2pAAAAAJ
Duke University
Computer ScienceNLP
Citations & Impact
All-time
Citations
544
 
H-index
8
 
i10-index
6
 
Publications
15
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • Mixture-of-Agents Enhances Large Language Model Capabilities (arXiv, 2024)
  • Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies (EMNLP, 2024)
  • ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods (EMNLP, 2024)
  • Raccoon: Prompt Extraction Benchmark of LLM-Integrated Applications (ACL Findings, 2024)
  • LLM-Resistant Math Word Problem Generation via Adversarial Attacks (EMNLP Findings, 2024)
  • NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge (NAACL Findings, 2024)
  • Maestro: A Gamified Platform for Teaching AI Robustness (EAAI, 2023)
Research Experience
  • Worked closely with Sameer Singh on Machine Learning Interpretations and Natural Language Processing projects before joining Duke. Also worked as a research intern at several companies.
Education
  • PhD in Computer Science at Duke University, advised by Bhuwan Dhingra; also advised by Sam Wiseman from 2022-2023.
Background
  • Research Interests: LLM reasoning, agents, and alignment. Has interned at multiple companies including Together AI, AWS, Intel, Tencent, and the Applied AI lab at Comcast.