Khalid Saifullah

According to our database, Khalid Saifullah authored at least 8 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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-Free LLM Benchmark.

Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Siddartha Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum

CoRR, 2024

CinePile: A Long Video Question Answering Dataset and Benchmark.

Ruchit Rawal, Khalid Saifullah, Ronen Basri, David Jacobs, Gowthami Somepalli, Tom Goldstein

CoRR, 2024

Coercing LLMs to do and reveal (almost) anything.

Jonas Geiping, Alex Stein, Manli Shu, Khalid Saifullah, Yuxin Wen, Tom Goldstein

CoRR, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Reinforcement Learning finetuned Vision-Code Transformer for UI-to-Code Generation.

Davit Soselia, Khalid Saifullah, Tianyi Zhou

CoRR, 2023

Seeing in Words: Learning to Classify through Language Bottlenecks.

Khalid Saifullah, Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023