EEL: Efficiently Encoding Lattices for Reranking. - Prasann Singhal; Jiacheng Xu 001; Xi Ye; Greg Durrett (ACL (1), 2023)

Assessing Out-of-Domain Language Model Performance from Few Examples. - Prasann Singhal; Jarad Forristal; Xi Ye; Greg Durrett (EACL, 2023)

A Long Way to Go: Investigating Length Correlations in RLHF. - Prasann Singhal; Tanya Goyal; Jiacheng Xu 001; Greg Durrett (CoRR, 2023)

D2PO: Discriminator-Guided DPO with Response Evaluation Models. - Prasann Singhal; Nathan Lambert 001; Scott Niekum; Tanya Goyal; Greg Durrett (CoRR, 2024)

To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning. - Zayne Rea Sprague; Fangcong Yin; Juan Diego Rodriguez; Dongwei Jiang; Manya Wadhwa; Prasann Singhal; Xinyu Zhao; Xi Ye; Kyle Mahowald; Greg Durrett (ICLR, 2025)

Assessing Robustness to Spurious Correlations in Post-Training Language Models. - Julia Shuieh; Prasann Singhal; Apaar Shanker; John Heyer; George Pu; Samuel Denton (CoRR, 2025)

ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models. - Liyan Tang; Grace Kim; Xinyu Zhao; Thom Lake; Wenxuan Ding 003; Fangcong Yin; Prasann Singhal; Manya Wadhwa; Zeyu Leo Liu; Zayne Sprague; Ramya Namuduri; Bodun Hu; et al. (CoRR, 2025)

Adaptive Margin RLHF via Preference over Preferences. - Yaswanth Chittepu; Prasann Singhal; Greg Durrett; Scott Niekum (CoRR, 2025)