PaRaDe: Passage Ranking using Demonstrations with LLMs. - Andrew Drozdov; Honglei Zhuang; Zhuyun Dai; Zhen Qin 001; Razieh Rahimi; Xuanhui Wang; Dana Alon; Mohit Iyyer; Andrew McCallum; Donald Metzler; Kai Hui 001 (EMNLP (Findings), 2023)

LayerNAS: Neural Architecture Search in Polynomial Complexity. - Yicheng Fan; Dana Alon; Jingyue Shen; Daiyi Peng; Keshav Kumar; Yun Long; Xin Wang 016; Fotis Iliopoulos; Da-Cheng Juan; Erik Vee (CoRR, 2023)

PaRaDe: Passage Ranking using Demonstrations with Large Language Models. - Andrew Drozdov; Honglei Zhuang; Zhuyun Dai; Zhen Qin 001; Razieh Rahimi; Xuanhui Wang; Dana Alon; Mohit Iyyer; Andrew McCallum; Donald Metzler; Kai Hui 001 (CoRR, 2023)

OpenMSD: Towards Multilingual Scientific Documents Similarity Measurement. - Yang Gao; Ji Ma 004; Ivan Korotkov; Keith B. Hall; Dana Alon; Donald Metzler (LREC/COLING, 2024)

Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data. - Tim Baumgärtner; Yang Gao; Dana Alon; Donald Metzler (CoRR, 2024)

Impact of Preference Noise on the Alignment Performance of Generative Language Models. - Yang Gao; Dana Alon; Donald Metzler (CoRR, 2024)

A Watermark for Black-Box Language Models. - Dara Bahri; John Wieting; Dana Alon; Donald Metzler (CoRR, 2024)

DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback. - Jiao Sun; Deqing Fu; Yushi Hu; Su Wang 001; Royi Rassin; Da-Cheng Juan; Dana Alon; Charles Herrmann; Sjoerd van Steenkiste; Ranjay Krishna; Cyrus Rashtchian (NAACL (Long Papers), 2025)

Can Pre-training Indicators Reliably Predict Fine-tuning Outcomes of LLMs? - Hansi Zeng; Kai Hui 001; Honglei Zhuang; Zhen Qin 001; Zhenrui Yue; Hamed Zamani; Dana Alon (CoRR, 2025)