Ahmad Beirami

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 102

Top Venues

Publications

Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment. CoRR (2024)
Nevan Wichers, Carson Denison, Ahmad Beirami
Gradient-Based Language Model Red Teaming. EACL (1) (2024)
Aradhana Sinha, Ananth Balashankar, Ahmad Beirami, Thi Avrahami, Jilin Chen, Alex Beutel
Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks. Trans. Mach. Learn. Res. 2024 (2024)
Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan Ö. Arik, Tomas Pfister
Mitigating Object Hallucination via Data Augmented Contrastive Tuning. CoRR (2024)
Joy Qiping Yang, Salman Salamatian, Ziteng Sun, Ananda Theertha Suresh, Ahmad Beirami
Asymptotics of Language Model Alignment. CoRR (2024)
Adam Fisch, Jacob Eisenstein, Vicky Zayats, Alekh Agarwal, Ahmad Beirami, Chirag Nagpal, Petet Shaw, Jonathan Berant
Robust Preference Optimization through Reward Model Distillation. CoRR (2024)
Ziteng Sun, Jae Hun Ro, Ahmad Beirami, Ananda Theertha Suresh
Optimal Block-Level Draft Verification for Accelerating Speculative Decoding. CoRR (2024)
Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, Xiao Ma, Subhrajit Roy, Ahmad Beirami, Prateek Mittal, Peter Henderson
Safety Alignment Should Be Made More Than Just a Few Tokens Deep. CoRR (2024)
Ahmad Beirami, Alekh Agarwal, Jonathan Berant, Alexander D'Amour, Jacob Eisenstein, Chirag Nagpal, Ananda Theertha Suresh
Theoretical guarantees on the best-of-n alignment policy. CoRR (2024)
Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests. ICLR (2024)
James Atwood, Preethi Lahoti, Ananth Balashankar, Flavien Prost, Ahmad Beirami
Inducing Group Fairness in LLM-Based Decisions. CoRR (2024)
Bhagyashree Puranik, Ahmad Beirami, Yao Qin, Upamanyu Madhow
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective. AISTATS (2024)
Nevan Wichers, Carson Denison, Ahmad Beirami
Gradient-Based Language Model Red Teaming. CoRR (2024)
Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests. CoRR (2023)
Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, Jilin Chen
Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. EMNLP (2023)
Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip H. S. Torr
A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models. CoRR (2023)
Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith
On Tilted Losses in Machine Learning: Theory and Applications. J. Mach. Learn. Res. 24 (2023)
Ananth Balashankar, Xiao Ma, Aradhana Sinha, Ahmad Beirami, Yao Qin, Jilin Chen, Alex Beutel
Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning. CoRR (2023)
James Atwood, Tina Tian, Ben Packer, Meghana Deodhar, Jilin Chen, Alex Beutel, Flavien Prost, Ahmad Beirami
Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification. CoRR (2023)
Jindong Gu, Ahmad Beirami, Xuezhi Wang, Alex Beutel, Philip H. S. Torr, Yao Qin
Towards Robust Prompts on Vision-Language Models. CoRR (2023)
Pritam Sarkar, Ahmad Beirami, Ali Etemad
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts. NeurIPS (2023)
Jacob Eisenstein, Chirag Nagpal, Alekh Agarwal, Ahmad Beirami, Alex D'Amour, Dj Dvijotham, Adam Fisch, Katherine A. Heller, Stephen Pfohl, Deepak Ramachandran, Peter Shaw, Jonathan Berant
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking. CoRR (2023)
Tianjian Huang, Shaunak Ashish Halbe, Chinnadhurai Sankar, Pooyan Amini, Satwik Kottur, Alborz Geramifard, Meisam Razaviyayn, Ahmad Beirami
Robustness through Data Augmentation Loss Consistency. Trans. Mach. Learn. Res. 2023 (2023)
Bhagyashree Puranik, Ahmad Beirami, Yao Qin, Upamanyu Madhow
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective. CoRR (2023)
Pritam Sarkar, Ahmad Beirami, Ali Etemad
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts. CoRR (2023)
Lucas Monteiro Paes, Ananda Theertha Suresh, Alex Beutel, Flávio P. Calmon, Ahmad Beirami
Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing. CoRR (2023)
Alexandru Tifrea, Preethi Lahoti, Ben Packer, Yoni Halpern, Ahmad Beirami, Flavien Prost
FRAPPÉ: A Post-Processing Framework for Group Fairness Regularization. CoRR (2023)
Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix X. Yu
SpecTr: Fast Speculative Decoding via Optimal Transport. NeurIPS (2023)
Xiao Ma, Swaroop Mishra, Ahmad Beirami, Alex Beutel, Jilin Chen
Let's Do a Thought Experiment: Using Counterfactuals to Improve Moral Reasoning. CoRR (2023)
Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix X. Yu
SpecTr: Fast Speculative Decoding via Optimal Transport. CoRR (2023)
Sidharth Mudgal, Jong Lee, Harish Ganapathy, YaGuang Li, Tao Wang, Yanping Huang, Zhifeng Chen, Heng-Tze Cheng, Michael Collins, Trevor Strohman, Jilin Chen, Alex Beutel, Ahmad Beirami
Controlled Decoding from Language Models. CoRR (2023)
Aradhana Sinha, Ananth Balashankar, Ahmad Beirami, Thi Avrahami, Jilin Chen, Alex Beutel
Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks. CoRR (2023)
Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, Jilin Chen
Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. CoRR (2023)
Rita H. Wouhaybi, Ravikumar Balakrishnan, Navid Naderializadeh, Ahmad Beirami, Marco Di Felice, Shadi Noghabi, Anirudh Badam, Shugong Xu
Guest Editorial: An End-to-End Machine Learning Perspective on Industrial IoT. IEEE Internet Things Mag. 5 (1) (2022)
Kun Qian, Satwik Kottur, Ahmad Beirami, Shahin Shayandeh, Paul A. Crook, Alborz Geramifard, Zhou Yu, Chinnadhurai Sankar
Database Search Results Disambiguation for Task-Oriented Dialog Systems. NAACL-HLT (2022)
Andrew Lowy, Sina Baharlouei, Rakesh Pavan, Meisam Razaviyayn, Ahmad Beirami
A Stochastic Optimization Framework for Fair Risk Minimization. Trans. Mach. Learn. Res. 2022 (2022)
Hyundong Cho, Chinnadhurai Sankar, Christopher Lin, Kaushik Ram Sadagopan, Shahin Shayandeh, Asli Celikyilmaz, Jonathan May, Ahmad Beirami
Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics. EMNLP (Findings) (2022)
Ninareh Mehrabi, Ahmad Beirami, Fred Morstatter, Aram Galstyan
Robust Conversational Agents against Imperceptible Toxicity Triggers. NAACL-HLT (2022)
Ninareh Mehrabi, Ahmad Beirami, Fred Morstatter, Aram Galstyan
Robust Conversational Agents against Imperceptible Toxicity Triggers. CoRR (2022)
Hyundong Cho, Chinnadhurai Sankar, Christopher Lin, Kaushik Ram Sadagopan, Shahin Shayandeh, Asli Celikyilmaz, Jonathan May, Ahmad Beirami
CheckDST: Measuring Real-World Generalization of Dialogue State Tracking Performance. CoRR (2021)
Kun Qian, Ahmad Beirami, Satwik Kottur, Shahin Shayandeh, Paul A. Crook, Alborz Geramifard, Zhou Yu, Chinnadhurai Sankar
Database Search Results Disambiguation for Task-Oriented Dialog Systems. CoRR (2021)
Hung Le, Chinnadhurai Sankar, Seungwhan Moon, Ahmad Beirami, Alborz Geramifard, Satwik Kottur
DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue. CoRR (2021)
Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith
Tilted Empirical Risk Minimization. ICLR (2021)
Kun Qian, Ahmad Beirami, Zhouhan Lin, Ankita De, Alborz Geramifard, Zhou Yu, Chinnadhurai Sankar
Annotation Inconsistency and Entity Bias in MultiWOZ. SIGDIAL (2021)
Andrew Lowy, Rakesh Pavan, Sina Baharlouei, Meisam Razaviyayn, Ahmad Beirami
FERMI: Fair Empirical Risk Minimization via Exponential Rényi Mutual Information. CoRR (2021)
Tian Li, Shengyuan Hu, Ahmad Beirami, Virginia Smith
Ditto: Fair and Robust Federated Learning Through Personalization. ICML (2021)
Tianjian Huang, Shaunak Halbe, Chinnadhurai Sankar, Pooyan Amini, Satwik Kottur, Alborz Geramifard, Meisam Razaviyayn, Ahmad Beirami
DAIR: Data Augmented Invariant Regularization. CoRR (2021)
Nasser Aldaghri, Hessam Mahdavifar, Ahmad Beirami
FeO2: Federated Learning with Opt-Out Differential Privacy. CoRR (2021)
Kun Qian, Ahmad Beirami, Zhouhan Lin, Ankita De, Alborz Geramifard, Zhou Yu, Chinnadhurai Sankar
Annotation Inconsistency and Entity Bias in MultiWOZ. CoRR (2021)
Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith
On Tilted Losses in Machine Learning: Theory and Applications. CoRR (2021)
Satwik Kottur, Paul A. Crook, Seungwhan Moon, Ahmad Beirami, Eunjoon Cho, Rajen Subba, Alborz Geramifard
An Analysis of State-of-the-Art Models for Situated Interactive MultiModal Conversations (SIMMC). SIGDIAL (2021)
Hung Le, Chinnadhurai Sankar, Seungwhan Moon, Ahmad Beirami, Alborz Geramifard, Satwik Kottur
DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue. ACL/IJCNLP (1) (2021)
Nasser Aldaghri, Hessam Mahdavifar, Ahmad Beirami
Coded Machine Unlearning. IEEE Access 9 (2021)
Matthew S. Nokleby, Ahmad Beirami
Information-Theoretic Bayes Risk Lower Bounds for Realizable Models. CoRR (2021)
R. Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D'Haro, Abhinav Rastogi, Yun-Nung Chen, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, Dilek Hakkani-Tür, Jinchao Li, Qi Zhu, Lingxiao Luo, Lars Liden, Kaili Huang, Shahin Shayandeh, Runze Liang, Baolin Peng, Zheng Zhang, Swadheen Shukla, Minlie Huang, Jianfeng Gao, Shikib Mehri, Yulan Feng, Carla Gordon, Seyed Hossein Alavi, David R. Traum, Maxine Eskénazi, Ahmad Beirami, Eunjoon Cho, Paul A. Crook, Ankita De, Alborz Geramifard, Satwik Kottur, Seungwhan Moon, Shivani Poddar, Rajen Subba
Overview of the Ninth Dialog System Technology Challenge: DSTC9. CoRR (2020)
Seungwhan Moon, Satwik Kottur, Paul A. Crook, Ankita De, Shivani Poddar, Theodore Levin, David Whitney, Daniel Difranco, Ahmad Beirami, Eunjoon Cho, Rajen Subba, Alborz Geramifard
Situated and Interactive Multimodal Conversations. CoRR (2020)
Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith
Tilted Empirical Risk Minimization. CoRR (2020)
Tian Li, Maziar Sanjabi, Ahmad Beirami, Virginia Smith
Fair Resource Allocation in Federated Learning. ICLR (2020)
Zhenpeng Zhou, Ahmad Beirami, Paul A. Crook, Pararth Shah, Rajen Subba, Alborz Geramifard
Resource Constrained Dialog Policy Learning via Differentiable Inductive Logic Programming. CoRR (2020)
Tian Li, Shengyuan Hu, Ahmad Beirami, Virginia Smith
Federated Multi-Task Learning for Competing Constraints. CoRR (2020)
Nasser Aldaghri, Hessam Mahdavifar, Ahmad Beirami
Coded Machine Unlearning. CoRR (2020)
Salman Salamatian, Wasim Huleihel, Ahmad Beirami, Asaf Cohen, Muriel Médard
Centralized vs Decentralized Targeted Brute-Force Attacks: Guessing With Side-Information. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Seungwhan Moon, Satwik Kottur, Paul A. Crook, Ankita De, Shivani Poddar, Theodore Levin, David Whitney, Daniel Difranco, Ahmad Beirami, Eunjoon Cho, Rajen Subba, Alborz Geramifard
Situated and Interactive Multimodal Conversations. COLING (2020)
Sina Baharlouei, Maher Nouiehed, Ahmad Beirami, Meisam Razaviyayn
Rényi Fair Inference. ICLR (2020)
Sofia Maria Nikolakaki, Ogheneovo Dibie, Ahmad Beirami, Nicholas Peterson, Navid Aghdaie, Kazi A. Zaman
Competitive Balance in Team Sports Games. CoG (2020)
Zhenpeng Zhou, Ahmad Beirami, Paul A. Crook, Pararth Shah, Rajen Subba, Alborz Geramifard
Resource Constrained Dialog Policy Learning Via Differentiable Inductive Logic Programming. COLING (2020)
Sofia Maria Nikolakaki, Ogheneovo Dibie, Ahmad Beirami, Nicholas Peterson, Navid Aghdaie, Kazi A. Zaman
Competitive Balance in Team Sports Games. CoRR (2020)
Salman Salamatian, Wasim Huleihel, Ahmad Beirami, Asaf Cohen, Muriel Médard
Centralized vs Decentralized Targeted Brute-Force Attacks: Guessing with Side-Information. CoRR (2020)
Yunqi Zhao, Igor Borovikov, Fernando de Mesentier Silva, Ahmad Beirami, Jason Rupert, Caedmon Somers, Jesse Harder, John Kolen, Jervis Pinto, Reza Pourabolghasem, James Pestrak, Harold Chaput, Mohsen Sardari, Long Lin, Sundeep Narravula, Navid Aghdaie, Kazi A. Zaman
Winning Is Not Everything: Enhancing Game Development With Intelligent Agents. IEEE Trans. Games 12 (2) (2020)
Ahmad Beirami, Faramarz Fekri
Network Traffic Compression With Side Information. IEEE Access 8 (2020)
Hangjin Liu, You Joe Zhou, Ahmad Beirami, Dror Baron
Bayesian Nonlinear Function Estimation with Approximate Message Passing. CoRR (2019)
Salman Salamatian, Wasim Huleihel, Ahmad Beirami, Asaf Cohen, Muriel Médard
Why Botnets Work: Distributed Brute-Force Attacks Need No Synchronization. IEEE Trans. Inf. Forensics Secur. 14 (9) (2019)
Hangjin Liu, You Joe Zhou, Ahmad Beirami, Dror Baron
Nonlinear Function Estimation with Empirical Bayes and Approximate Message Passing. Allerton (2019)
Yiwei Zhao, Han Liu, Igor Borovikov, Ahmad Beirami, Maziar Sanjabi, Kazi A. Zaman
Multi-theme generative adversarial terrain amplification. ACM Trans. Graph. 38 (6) (2019)
Yunqi Zhao, Igor Borovikov, Jason Rupert, Caedmon Somers, Ahmad Beirami
On Multi-Agent Learning in Team Sports Games. CoRR (2019)
Salman Salamatian, Litian Liu, Ahmad Beirami, Muriel Médard
Mismatched Guesswork. CoRR (2019)
Ahmad Beirami, Faramarz Fekri
Universal Compression with Side Information from a Correlated Source. CoRR (2019)
Yunqi Zhao, Igor Borovikov, Ahmad Beirami, Jason Rupert, Caedmon Somers, Jesse Harder, Fernando de Mesentier Silva, John Kolen, Jervis Pinto, Reza Pourabolghasem, Harold Chaput, James Pestrak, Mohsen Sardari, Long Lin, Navid Aghdaie, Kazi A. Zaman
Winning Isn't Everything: Training Human-Like Agents for Playtesting and Game AI. CoRR (2019)
Ahmad Beirami, A. Robert Calderbank, Mark M. Christiansen, Ken R. Duffy, Muriel Médard
A Characterization of Guesswork on Swiftly Tilting Curves. IEEE Trans. Inf. Theory 65 (5) (2019)
Salman Salamatian, Litian Liu, Ahmad Beirami, Muriel Médard
Mismatched Guesswork and One-to-One Codes. ITW (2019)
Igor Borovikov, Ahmad Beirami
From Demonstrations and Knowledge Engineering to a DNN Agent in a Modern Open-World Video Game. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (2019)
Igor Borovikov, Jesse Harder, Michael Sadovsky, Ahmad Beirami
Towards Interactive Training of Non-Player Characters in Video Games. CoRR (2019)
Salman Salamatian, Wasim Huleihel, Ahmad Beirami, Asaf Cohen, Muriel Médard
Why Botnets Work: Distributed Brute-Force Attacks Need No Synchronization. CoRR (2018)
Shahin Shahrampour, Ahmad Beirami, Vahid Tarokh
On Data-Dependent Random Features for Improved Generalization in Supervised Learning. AAAI (2018)
Shahin Shahrampour, Ahmad Beirami, Vahid Tarokh
Supervised Learning Using Data-dependent Random Features with Application to Seizure Detection. CDC (2018)
Parinaz Farajiparvar, Ahmad Beirami, Matthew S. Nokleby
Information Bottleneck Methods for Distributed Learning. CoRR (2018)
Ahmad Beirami, A. Robert Calderbank, Mark M. Christiansen, Ken Duffy, Muriel Médard
A Characterization of Guesswork on Swiftly Tilting Curves. CoRR (2018)
Hessam Mahdavifar, Ahmad Beirami, Behrouz Touri, Jeff S. Shamma
Global Games With Noisy Information Sharing. IEEE Trans. Signal Inf. Process. over Networks 4 (3) (2018)
Parinaz Farajiparvar, Ahmad Beirami, Matthew S. Nokleby
Information Bottleneck Methods for Distributed Learning. Allerton (2018)
Arman Rezaee, Ahmad Beirami, Ali Makhdoumi, Muriel Médard, Ken Duffy
Guesswork subject to a total entropy budget. Allerton (2017)
Ahmad Beirami, Meisam Razaviyayn, Shahin Shahrampour, Vahid Tarokh
On Optimal Generalizability in Parametric Learning. NIPS (2017)
Salman Salamatian, Ahmad Beirami, Asaf Cohen, Muriel Médard
Centralized vs decentralized multi-agent guesswork. ISIT (2017)
Ahmad Beirami, Meisam Razaviyayn, Shahin Shahrampour, Vahid Tarokh
On Optimal Generalizability in Parametric Learning. CoRR (2017)
Salman Salamatian, Ahmad Beirami, Asaf Cohen, Muriel Médard
Centralized vs Decentralized Multi-Agent Guesswork. CoRR (2017)
Arman Rezaee, Ahmad Beirami, Ali Makhdoumi, Muriel Médard, Ken Duffy
Guesswork Subject to a Total Entropy Budget. CoRR (2017)
Shahin Shahrampour, Ahmad Beirami, Vahid Tarokh
On Data-Dependent Random Features for Improved Generalization in Supervised Learning. CoRR (2017)
Junan Zhu, Ahmad Beirami, Dror Baron
Performance trade-offs in multi-processor approximate message passing. ISIT (2016)
Ahmad Beirami, Mohsen Sardari, Faramarz Fekri
Packet-Level Network Compression: Realization and Scaling of the Network-Wide Benefits. IEEE/ACM Trans. Netw. 24 (3) (2016)
Matthew S. Nokleby, Ahmad Beirami, A. Robert Calderbank
Rate-distortion bounds on Bayes risk in supervised learning. ISIT (2016)
Matthew S. Nokleby, Ahmad Beirami, A. Robert Calderbank
Rate-Distortion Bounds on Bayes Risk in Supervised Learning. CoRR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ahmad Beirami