Farhan Ahmed

According to our database, Farhan Ahmed authored at least 25 papers between 2022 and 2026.

Collaborative distances:

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

2026

A Systematic Approach for Large Language Models Debugging.

Basel Shbita, Anna Lisa Gentile, Bing Zhang, Sungeun An, Shailja Thakur, Shubhi Asthana, Yi Zhou, Saptha Surendran, Farhan Ahmed, Rohan Kulkarni, Yuya Jeremy Ong, Chad DeLuca, Hima Patel

CoRR, April, 2026

LogitScope: A Framework for Analyzing LLM Uncertainty Through Information Metrics.

Farhan Ahmed, Yuya Jeremy Ong, Chad DeLuca

CoRR, March, 2026

LLMON: An LLM-native Markup Language to Leverage Structure and Semantics at the LLM Interface.

Michael Hind, Basel Shbita, Bo Wu, Farhan Ahmed, Chad DeLuca, Nathan Fulton, David D. Cox, Dan Gutfreund

CoRR, March, 2026

TSR: Trajectory-Search Rollouts for Multi-Turn RL of LLM Agents.

Aladin Djuhera, Swanand Ravindra Kadhe, Farhan Ahmed, Heiko Ludwig, Holger Boche

CoRR, February, 2026

NC-Bench: An LLM Benchmark for Evaluating Conversational Competence.

Robert J. Moore, Sungeun An, Farhan Ahmed, Jay Pankaj Gala

CoRR, January, 2026

Creating and Evaluating Personas Using Generative AI: A Scoping Review of 81 Articles.

Danial Amin, Joni Salminen, Farhan Ahmed, Sonja M. H. Tervola, Sankalp Sethi, Bernard J. Jansen

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

MermaidSeqBench: An Evaluation Benchmark for LLM-to-Mermaid Sequence Diagram Generation.

Basel Shbita, Farhan Ahmed, Chad DeLuca

CoRR, November, 2025

When Data is the Algorithm: A Systematic Study and Curation of Preference Optimization Datasets.

Aladin Djuhera, Farhan Ahmed, Swanand Ravindra Kadhe, Syed Zawad, Heiko Ludwig, Holger Boche

CoRR, November, 2025

Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance.

Aladin Djuhera, Swanand Ravindra Kadhe, Syed Zawad, Farhan Ahmed, Heiko Ludwig, Holger Boche

CoRR, June, 2025

SafeCOMM: What about Safety Alignment in Fine-Tuned Telecom Large Language Models?

Aladin Djuhera, Swanand Ravindra Kadhe, Farhan Ahmed, Syed Zawad, Holger Boche, Walid Saad

CoRR, June, 2025

How Is Generative AI Used for Persona Development?: A Systematic Review of 52 Research Articles.

Danial Amin, Joni Salminen, Farhan Ahmed, Sonja M. H. Tervola, Sankalp Sethi, Bernard J. Jansen

CoRR, April, 2025

SafeMERGE: Preserving Safety Alignment in Fine-Tuned Large Language Models via Selective Layer-Wise Model Merging.

Aladin Djuhera, Swanand Ravindra Kadhe, Farhan Ahmed, Syed Zawad, Holger Boche

CoRR, March, 2025

GneissWeb: Preparing High Quality Data for LLMs at Scale.

Hajar Emami-Gohari, Swanand Ravindra Kadhe, Syed Yousaf Shah, Constantin Adam, Abdulhamid Adebayo, Praneet Adusumilli, Farhan Ahmed, Nathalie Baracaldo Angel, Santosh Borse, Yuan Chi Chang, Xuan-Hong Dang, Nirmit Desai, Revital Eres, Ran Iwamoto, Alexei Karve, Yan Koyfman, Wei-Han Lee, Changchang Liu, Boris Lublinsky, Takuya Ohko, Pablo Pesce, Maroun Touma, Shiqiang Wang, Shalisha Witherspoon, Herbert Woisetschlaeger, David Wood, Kun-Lung Wu, Issei Yoshida, Syed Zawad, Petros Zerfos, Yi Zhou, Bishwaranjan Bhattacharjee

CoRR, February, 2025

Interviewing AI-Generated Personas: Talking To Your Data to Generate Qualitative Text from Users.

Jinan Y. Azem, Farhan Ahmed, Joni Salminen, Bernard J. Jansen

Proceedings of the 3rd International Conference on Foundation and Large Language Models, 2025

2024

Robust language-based mental health assessments in time and space through social media.

Siddharth Mangalik, Johannes C. Eichstaedt, Salvatore Giorgi, Jihu Mun, Farhan Ahmed, Gilvir Gill, Adithya V. Ganesan, Shashanka Subrahmanya, Nikita Soni, Sean A. P. Clouston, H. Andrew Schwartz

npj Digit. Medicine, 2024

Taking off the Rose-Tinted Glasses: A Critical Look at Adversarial ML Through the Lens of Evasion Attacks.

Kevin Eykholt, Farhan Ahmed, Pratik Vaishnavi, Amir Rahmati

CoRR, 2024

Turning Generative Models Degenerate: The Power of Data Poisoning Attacks.

Shuli Jiang, Swanand Ravindra Kadhe, Yi Zhou, Farhan Ahmed, Ling Cai, Nathalie Baracaldo

CoRR, 2024

Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs.

Swanand Ravindra Kadhe, Farhan Ahmed, Dennis Wei, Nathalie Baracaldo, Inkit Padhi

CoRR, 2024

2023

Human-Centered Metrics for Dialog System Evaluation.

Salvatore Giorgi, Shreya Havaldar, Farhan Ahmed, Zuhaib Akhtar, Shalaka Vaidya, Gary Pan, Lyle H. Ungar, H. Andrew Schwartz, João Sedoc

CoRR, 2023

Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models.

Nathalie Baracaldo, Farhan Ahmed, Kevin Eykholt, Yi Zhou, Shriti Priya, Taesung Lee, Swanand Kadhe, Mike Tan, Sridevi Polavaram, Sterling Suggs, Yuyang Gao, David Slater

Proceedings of the 2023 IEEE Security and Privacy Workshops (SPW), 2023

2022

Ares: A System-Oriented Wargame Framework for Adversarial ML.

Farhan Ahmed, Pratik Vaishnavi, Kevin Eykholt, Amir Rahmati

Proceedings of the 43rd IEEE Security and Privacy, 2022

SearchOL: An Information Gathering Tool.

Farhan Ahmed, Pallavi Khatri, Geetanjali Surange, Animesh Kumar Agrawal

Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Correcting Sociodemographic Selection Biases for Population Prediction from Social Media.

Salvatore Giorgi, Veronica E. Lynn, Keshav Gupta, Farhan Ahmed, Sandra Matz, Lyle H. Ungar, H. Andrew Schwartz

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Developing a Classification CNN Model to Classify Different Types of Fish.

Farhan Ahmed, Bijoy Basak, Simonta Chakraborty, Tumpa Karmokar, Ahmed Wasif Reza, Omar Tawhid Imam, Mohammad Shamsul Arefin

ICO, 2022

Sustainable and Profitable IT Infrastructure of Bangladesh Using Green IT.

Farhan Ahmed, Bijoy Basak, Simonta Chakraborty, Tumpa Karmokar, Ahmed Wasif Reza, Mohammad Shamsul Arefin

ICO, 2022