GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving. - Yun Chen 014; Frieda Rong; Shivam Duggal; Shenlong Wang; Xinchen Yan; Sivabalan Manivasagam; Shangjie Xue; Ersin Yumer; Raquel Urtasun (CVPR, 2021)

GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition. - Yun Chen 014; Frieda Rong; Shivam Duggal; Shenlong Wang; Xinchen Yan; Sivabalan Manivasagam; Shangjie Xue; Ersin Yumer; Raquel Urtasun (CoRR, 2021)

Characterizing Learning Progress of Problem-Solvers Using Puzzle-Solving Log Data. - Haoyu Liu; Fan-Yun Sun; Frieda Rong; Kumiko Nakajima; Nicholas Haber; Shima Salehi (EDM, 2023)

Evaluating Human-Language Model Interaction. - Mina Lee 002; Megha Srivastava; Amelia Hardy; John Thickstun; Esin Durmus; Ashwin Paranjape; Ines Gerard-Ursin; Xiang Lisa Li; Faisal Ladhak; Frieda Rong; Rose E. Wang; Minae Kwon; et al. (Trans. Mach. Learn. Res., 2023)

Holistic Evaluation of Language Models. - Percy Liang; Rishi Bommasani; Tony Lee; Dimitris Tsipras; Dilara Soylu; Michihiro Yasunaga; Yian Zhang; Deepak Narayanan; Yuhuai Wu; Ananya Kumar; Benjamin Newman; Binhang Yuan; et al. (Trans. Mach. Learn. Res., 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Value Internalization: Learning and Generalizing from Social Reward. - Frieda Rong; Max Kleiman-Weiner (RLJ, 2024)