Lisa Alazraki

According to our database, Lisa Alazraki authored at least 16 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks.

William F. Shen, Xinchi Qiu, Chenxi Whitehouse, Lisa Alazraki, Shashwat Goel, Francesco Barbieri, Timon Willi, Akhil Mathur, Ilias Leontiadis

CoRR, February, 2026

Scaling Small Agents Through Strategy Auctions.

Lisa Alazraki, William F. Shen, Yoram Bachrach, Akhil Mathur

CoRR, February, 2026

Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection.

Joe Stacey, Lisa Alazraki, Aran Ubhi, Beyza Ermis, Aaron Mueller, Marek Rei

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

AgentCoMa: A Compositional Benchmark Mixing Commonsense and Mathematical Reasoning in Real-World Scenarios.

Lisa Alazraki, Lihu Chen, Ana Brassard, Joe Stacey, Hossein A. Rahmani, Marek Rei

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Culturally Grounded Physical Commonsense Reasoning in Italian and English: A Submission to the MRL 2025 Shared Task.

Marco De Santis, Lisa Alazraki

CoRR, October, 2025

How to Improve the Robustness of Closed-Source Models on NLI.

Joe Stacey, Lisa Alazraki, Aran Ubhi, Beyza Ermis, Aaron Mueller, Marek Rei

CoRR, May, 2025

Enhancing LLM Robustness to Perturbed Instructions: An Empirical Study.

Aryan Agrawal, Lisa Alazraki, Shahin Honarvar, Marek Rei

CoRR, April, 2025

How can representation dimension dominate structurally pruned LLMs?

Mingxue Xu, Lisa Alazraki, Danilo P. Mandic

CoRR, March, 2025

LLMs can implicitly learn from mistakes in-context.

Lisa Alazraki, Maximilian Mozes, Jon Ander Campos, Yi Chern Tan, Marek Rei, Max Bartolo

CoRR, February, 2025

Reverse Engineering Human Preferences with Reinforcement Learning.

Lisa Alazraki, Yi Chern Tan, Jon Ander Campos, Maximilian Mozes, Marek Rei, Max Bartolo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Meta-Reasoning Improves Tool Use in Large Language Models.

Lisa Alazraki, Marek Rei

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

No Need for Explanations: LLMs can implicitly learn from mistakes in-context.

Lisa Alazraki, Maximilian Mozes, Jon Ander Campos, Yi Chern Tan, Marek Rei, Max Bartolo

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2023

From Words and Exercises to Wellness: Farsi Chatbot for Self-Attachment Technique.

Sina Elahimanesh, Shayan Salehi, Sara Zahedi Movahed, Lisa Alazraki, Ruoyu Hu, Abbas Edalat

CoRR, 2023

How (not) to ensemble LVLMs for VQA.

Lisa Alazraki, Lluís Castrejón, Mostafa Dehghani, Fantine Huot, Jasper R. R. Uijlings, Thomas Mensink

Proceedings of the Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, 2023

2022

A Multilingual Virtual Guide for Self-Attachment Technique.

Alicia Jiayun Law, Ruoyu Hu, Lisa Alazraki, Anandha Gopalan, Neophytos Polydorou, Abbas Edalat

Proceedings of the 4th IEEE International Conference on Cognitive Machine Intelligence, 2022

2021

An Empathetic AI Coach for Self-Attachment Therapy.

Lisa Alazraki, Ali Ghachem, Neophytos Polydorou, Foaad Khosmood, Abbas Edalat

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021