Claudia Shi - RankMe

18 papers A* 4A 3Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders. CoRR Carolina Zheng, Nicolas Beltran-Velez, Sweta Karlekar, Claudia Shi, Achille Nazaret, Asif Mallik, Amir Feder, David M. Blei
2025	J	`jnl`	OpenApps: Simulating Environment Variations to Measure UI-Agent Reliability. CoRR Karen Ullrich, Jingtong Su, Claudia Shi, Arjun Subramonian, Amir Bar, Ivan Evtimov, Nikolaos Tsilivis, Randall Balestriero, Julia Kempe, Mark Ibrahim
2024	A*	`conf`	Hypothesis Testing the Circuit Hypothesis in LLMs. NeurIPS Claudia Shi, Nicolas Beltran-Velez, Achille Nazaret, Carolina Zheng, Adrià Garriga-Alonso, Andrew Jesson, Maggie Makar, David M. Blei
2024	J	`jnl`	Hypothesis Testing the Circuit Hypothesis in LLMs. CoRR Claudia Shi, Nicolas Beltran-Velez, Achille Nazaret, Carolina Zheng, Adrià Garriga-Alonso, Andrew Jesson, Maggie Makar, David M. Blei
2024	A	`conf`	On the Misspecification of Linear Assumptions in Synthetic Controls. AISTATS Achille O. R. Nazaret, Claudia Shi, David M. Blei
2023	—	`conf`	An Invariant Learning Characterization of Controlled Text Generation. ACL (1) Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei
2023	J	`jnl`	An Invariant Learning Characterization of Controlled Text Generation. CoRR Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei
2023	A*	`conf`	Causal-structure Driven Augmentations for Text OOD Generalization. NeurIPS Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David M. Blei
2023	J	`jnl`	Causal-structure Driven Augmentations for Text OOD Generalization. CoRR Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David M. Blei
2023	A*	`conf`	Evaluating the Moral Beliefs Encoded in LLMs. NeurIPS Nino Scherrer, Claudia Shi, Amir Feder, David M. Blei
2023	J	`jnl`	Evaluating the Moral Beliefs Encoded in LLMs. CoRR Nino Scherrer, Claudia Shi, Amir Feder, David M. Blei
2023	J	`jnl`	Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. CoRR Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, Tony Tong Wang, Samuel Marks, Charbel-Raphaël Ségerie, Micah Carroll, Andi Peng, Phillip J. K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell
2023	J	`jnl`	Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. Trans. Mach. Learn. Res. Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, Tony Tong Wang, Samuel Marks, Charbel-Raphaël Ségerie, Micah Carroll, Andi Peng, Phillip J. K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell
2022	A	`conf`	On the Assumptions of Synthetic Control Methods. AISTATS Claudia Shi, Dhanya Sridhar, Vishal Misra, David M. Blei
2021	A	`conf`	Invariant representation learning for treatment effect estimation. UAI Claudia Shi, Victor Veitch, David M. Blei
2020	J	`jnl`	Invariant Representation Learning for Treatment Effect Estimation. CoRR Claudia Shi, Victor Veitch, David M. Blei
2019	A*	`conf`	Adapting Neural Networks for the Estimation of Treatment Effects. NeurIPS Claudia Shi, David M. Blei, Victor Veitch
2019	J	`jnl`	Adapting Neural Networks for the Estimation of Treatment Effects. CoRR Claudia Shi, David M. Blei, Victor Veitch