Hello! I am a ML Ph.D. student at Georgia Tech where I work on Natural Language Processing (NLP) and am advised by Prof. Alan Ritter. Previously, I interned at the Center for Human-Compatible Artificial Intelligence (CHAI) at UC Berkeley working in Prof. Stuart Russell’s group.

Feel free to reach out at emendes3[at]gatech[dot]edu.

Recent Work

• Language Models can Self-Improve at State-Value Estimation for Better Search
  Ethan Mendes, Alan Ritter
  [paper] [data / code]

• Granular Privacy Control for Geolocation with Vision Language Models
  Ethan Mendes, Yang Chen, James Hays, Sauvik Das, Wei Xu, Alan Ritter
  EMNLP 2024 (Oral)
  [paper] [data / code]

• ChatHF: Collecting Rich Human Feedback from Real-time Conversations
  Andrew Li, Zhenduo Wang, Ethan Mendes, Duong Minh Le, Wei Xu, Alan Ritter
  EMNLP 2024 (Demo)
  [paper]

• Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game
  Sam Toyer, Olivia Watkins, Ethan Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, Trevor Darrell, Alan Ritter, Stuart Russell
  ICLR 2024 (Spotlight)
  Previously presented:
  Instruction Tuning and Instruction Following Workshop at NeurIPS 2023 (Oral and Honorable Mention)
  R0-FoMo: Robustness of Few-shot and Zero-shot Learning in Foundation Models Workshop at NeurIPS 2023 (Spotlight)
  [paper] [data] [code] [project page]

• Can Language Models be Instructed to Protect Personal Information?
  Yang Chen*, Ethan Mendes*, Sauvik Das, Wei Xu, Alan Ritter
  [paper] [data] [project page]

• Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments
  Ethan Mendes, Yang Chen, Wei Xu, Alan Ritter
  ACL 2023
  [paper] [data]

• Defending Against Imperceptible Audio Adversarial Examples Using Proportional Additive Gaussian Noise
  Ethan Mendes, Kyle Hogan
  [paper]