Alexander Lyzhov

12 papers A* 1A 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	All Required, In Order: Phase-Level Evaluation for AI-Human Dialogue in Healthcare and Beyond. CoRR Shubham Kulkarni, Alexander Lyzhov, Shiva Chaitanya, Preetam Joshi
2026	J	`jnl`	INSURE-Dial: A Phase-Aware Conversational Dataset & Benchmark for Compliance Verification and Phase Detection. CoRR Shubham Kulkarni, Alexander Lyzhov, Preetam Joshi, Shiva Chaitanya
2026	—	`conf`	INSURE-Dial: A Phase-Aware Conversational Dataset Benchmark for Compliance Verification and Phase Detection. EACL (Volume 1: Long Papers) Shubham Kulkarni, Alexander Lyzhov, Preetam Joshi, Shiva Chaitanya
2025	J	`jnl`	HalluciNot: Hallucination Detection Through Context and Common Knowledge Verification. CoRR Bibek Paudel, Alexander Lyzhov, Preetam Joshi, Puneet Anand
2024	J	`jnl`	Steering Without Side Effects: Improving Post-Deployment Control of Language Models. CoRR Asa Cooper Stickland, Alexander Lyzhov, Jacob Pfau, Salsabila Mahdi, Samuel R. Bowman
2023	J	`jnl`	Inverse Scaling: When Bigger Isn't Better. CoRR Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez
2023	J	`jnl`	Inverse Scaling: When Bigger Isn't Better. Trans. Mach. Learn. Res. Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez
2021	J	`jnl`	Normative Disagreement as a Challenge for Cooperative AI. CoRR Julian Stastny, Maxime Riché, Alexander Lyzhov, Johannes Treutlein, Allan Dafoe, Jesse Clifton
2020	A	`conf`	Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation. UAI Alexander Lyzhov, Yuliya Molchanova, Arsenii Ashukha, Dmitry Molchanov, Dmitry P. Vetrov
2020	J	`jnl`	Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation. CoRR Dmitry Molchanov, Alexander Lyzhov, Yuliya Molchanova, Arsenii Ashukha, Dmitry P. Vetrov
2020	A*	`conf`	Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning. ICLR Arsenii Ashukha, Alexander Lyzhov, Dmitry Molchanov, Dmitry P. Vetrov
2020	J	`jnl`	Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning. CoRR Arsenii Ashukha, Alexander Lyzhov, Dmitry Molchanov, Dmitry P. Vetrov