Seeing in Words: Learning to Classify through Language Bottlenecks. - Khalid Saifullah; Yuxin Wen; Jonas Geiping; Micah Goldblum; Tom Goldstein (Tiny Papers @ ICLR, 2023)

Reinforcement Learning finetuned Vision-Code Transformer for UI-to-Code Generation. - Davit Soselia; Khalid Saifullah; Tianyi Zhou 001 (CoRR, 2023)

Bring Your Own Data! Self-Supervised Evaluation for Large Language Models. - Neel Jain; Khalid Saifullah; Yuxin Wen; John Kirchenbauer; Manli Shu; Aniruddha Saha; Micah Goldblum; Jonas Geiping; Tom Goldstein (CoRR, 2023)

On the Reliability of Watermarks for Large Language Models. - John Kirchenbauer; Jonas Geiping; Yuxin Wen; Manli Shu; Khalid Saifullah; Kezhi Kong; Kasun Fernando; Aniruddha Saha; Micah Goldblum; Tom Goldstein (ICLR, 2024)

Coercing LLMs to do and reveal (almost) anything. - Jonas Geiping; Alex Stein; Manli Shu; Khalid Saifullah; Yuxin Wen; Tom Goldstein (CoRR, 2024)

CinePile: A Long Video Question Answering Dataset and Benchmark. - Ruchit Rawal; Khalid Saifullah; Ronen Basri; David Jacobs 001; Gowthami Somepalli; Tom Goldstein (CoRR, 2024)

LiveBench: A Challenging, Contamination-Free LLM Benchmark. - Colin White; Samuel Dooley; Manley Roberts; Arka Pal; Benjamin Feuer; Siddhartha Jain 001; Ravid Shwartz-Ziv; Neel Jain; Khalid Saifullah; Siddartha Naidu; Chinmay Hegde; Yann LeCun; et al. (CoRR, 2024)

Cyberbullying Text Identification based on Deep Learning and Transformer-based Language Models. - Khalid Saifullah; Mohammad Ibrahim Khan; Suhaima Jamal; Iqbal H. Sarker (EAI Endorsed Trans. Ind. Networks Intell. Syst., 2024)

LiveBench: A Challenging, Contamination-Limited LLM Benchmark. - Colin White; Samuel Dooley; Manley Roberts; Arka Pal; Benjamin Feuer; Siddhartha Jain 001; Ravid Shwartz-Ziv; Neel Jain; Khalid Saifullah; Sreemanti Dey; Shubh-Agrawal; Sandeep Singh Sandha; et al. (ICLR, 2025)