Fazl Barez
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
4
Active years
2023–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Make Mechanistic Interpretability Auditable: A Call to Develop Guidelines via Continuous Collaborative Reviewing. | Michael Lan, Narmeen Fatimah Oozeer, Chaithanya Bandi, Philip Quirke, Austin Meek, Fazl Barez, Amir Abdullah |
| 2025 | EMNLP | Same Question, Different Words: A Latent Adversarial Framework for Prompt Robustness. | Tingchen Fu, Fazl Barez |
| 2025 | EMNLP | Precise In-Parameter Concept Erasure in Large Language Models. | Yoav Gur-Arieh, Clara Suslik, Yihuai Hong, Fazl Barez, Mor Geva |
| 2025 | EMNLP | Beyond Linear Steering: Unified Multi-Attribute Control for Language Models. | Narmeen Oozeer, Luke Marks, Fazl Barez, Amir Abdullah |
| 2025 | EMNLP | Trust Me, I'm Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer. | Adi Simhi, Itay Itzhak, Fazl Barez, Gabriel Stanovsky, Yonatan Belinkov |
| 2025 | ICLR | Towards Interpreting Visual Information Processing in Vision-Language Models. | Clement Neo, Luke Ong, Philip Torr, Mor Geva, David Krueger, Fazl Barez |
| 2025 | ICML | PoisonBench: Assessing Language Model Vulnerability to Poisoned Preference Data. | Tingchen Fu, Mrinank Sharma, Philip Torr, Shay B. Cohen, David Krueger, Fazl Barez |
| 2024 | ACL | Large Language Models Relearn Removed Concepts. | Michelle Lo, Fazl Barez, Shay B. Cohen |
| 2024 | EMNLP | Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models. | Michael Lan, Philip Torr, Fazl Barez |
| 2024 | EMNLP | Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions. | Clement Neo, Shay B. Cohen, Fazl Barez |
| 2024 | ICLR | Understanding Addition in Transformers. | Philip Quirke, Fazl Barez |
| 2024 | ICML | Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI. | Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schrder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Rttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster |
| 2024 | ICML | Value-Evolutionary-Based Reinforcement Learning. | Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Fazl Barez |
| 2023 | ACL | The Larger they are, the Harder they Fail: Language Models do not Recognize Identifier Swaps in Python. | Antonio Valerio Miceli Barone, Fazl Barez, Shay B. Cohen, Ioannis Konstas |
| 2023 | ACL | Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark. | Jason Hoelscher-Obermaier, Julia Persson, Esben Kran, Ioannis Konstas, Fazl Barez |