On the finite-length performance of universal coding for k-ary memoryless sources. - Ahmad Beirami; Faramarz Fekri (Allerton, 2010)

Consensus problem under diffusion-based molecular communication. - Arash Einolghozati; Mohsen Sardari; Ahmad Beirami; Faramarz Fekri (CISS, 2011)

The Redundancy of Two-Part Codes for Finite-Length Parametric Sources. - Ahmad Beirami; Faramarz Fekri (DCC, 2011)

Results on the redundancy of universal compression for finite-length sequences. - Ahmad Beirami; Faramarz Fekri (ISIT, 2011)

Capacity of discrete molecular diffusion channels. - Arash Einolghozati; Mohsen Sardari; Ahmad Beirami; Faramarz Fekri (ISIT, 2011)

On the network-wide gain of memory-assisted source coding. - Mohsen Sardari; Ahmad Beirami; Faramarz Fekri (ITW, 2011)

Exact modeling of the performance of random linear network coding in finite-buffer networks. - Nima Torabkhani; Badri N. Vellambi; Ahmad Beirami; Faramarz Fekri (ITW, 2011)

Network Compression: Memory-assisted universal coding of sources with correlated parameters. - Ahmad Beirami; Faramarz Fekri (Allerton Conference, 2012)

Memory-Assisted Universal Source Coding. - Ahmad Beirami; Faramarz Fekri (DCC, 2012)

Data gathering in networks of bacteria colonies: Collective sensing and relaying using molecular communication. - Arash Einolghozati; Mohsen Sardari; Ahmad Beirami; Faramarz Fekri (INFOCOM Workshops, 2012)

Memory-assisted universal compression of network flows. - Mohsen Sardari; Ahmad Beirami; Faramarz Fekri (INFOCOM, 2012)

On lossless universal compression of distributed identical sources. - Ahmad Beirami; Faramarz Fekri (ISIT, 2012)

Results on the fundamental gain of memory-assisted universal source coding. - Ahmad Beirami; Mohsen Sardari; Faramarz Fekri (ISIT, 2012)

Memory placement in network compression: Line and grid topologies. - Mohsen Sardari; Ahmad Beirami; Faramarz Fekri (ISITA, 2012)

A Performance Metric for Discrete-Time Chaos-Based Truly Random Number Generators - Ahmad Beirami; Hamid Nejati; Yehia Massoud (CoRR, 2012)

Chaotic-Map Truly Random Number Generators: Evaluation of Bit-Generation and Post-Processing - Ahmad Beirami; Hamid Nejati (CoRR, 2012)

Results on the optimal memory-assisted universal compression performance for mixture sources. - Ahmad Beirami; Mohsen Sardari; Faramarz Fekri (Allerton, 2013)

Content-aware network data compression using joint memorization and clustering. - Mohsen Sardari; Ahmad Beirami; Jun Zou 005; Faramarz Fekri (INFOCOM, 2013)

Wireless network compression: Code design and trade offs. - Mohsen Sardari; Ahmad Beirami; Faramarz Fekri (ITA, 2013)

A continuous-time sigma-delta ADC with tunable pass-band for multi-standard applications. - Mahmood Barangi; Ahmad Beirami; Hamid Nejati; Warsame H. Ali (MWSCAS, 2013)

Variability analysis of tent map-based chaotic-map truly random number generators. - Hamid Nejati; Ahmad Beirami; Aria Ghasemian Sahebi; Warsame H. Ali (MWSCAS, 2013)

A Framework for Investigating the Performance of Chaotic-Map Truly Random Number Generators. - Ahmad Beirami; Hamid Nejati (IEEE Trans. Circuits Syst. II Express Briefs, 2013)

A novel correlation model for universal compression of parametric sources. - Ahmad Beirami; Faramarz Fekri (Allerton, 2014)

Fundamental performance limits of chaotic-map random number generators. - Ahmad Beirami; Hamid Nejati; Sergio Callegari (Allerton, 2014)

A memory-assisted lossless compression algorithm for medical images. - Zhinoos Razavi Hesabi; Mohsen Sardari; Ahmad Beirami; Faramarz Fekri; Mohamed A. Deriche; Antonio Navarro 002 (ICASSP, 2014)

Mismatched side information in wireless network compression via overhearing helpers. - Mohsen Sardari; Ahmad Beirami; Faramarz Fekri (ISIT, 2014)

Fundamental limits of universal lossless one-to-one compression of parametric sources. - Ahmad Beirami; Faramarz Fekri (ITW, 2014)

On optimality of data clustering for packet-level memory-assisted compression of network traffic. - Ahmad Beirami; Liling Huang; Mohsen Sardari; Faramarz Fekri (SPAWC, 2014)

Packet-level clustering for memory-assisted compression of network packets. - Liling Huang; Ahmad Beirami; Mohsen Sardari; Faramarz Fekri; Bo Liu 001; Lin Gui 001 (WCSP, 2014)

Universal Compression of a Mixture of Parametric Sources with Side Information. - Ahmad Beirami; Liling Huang; Mohsen Sardari; Faramarz Fekri (CoRR, 2014)

A geometric perspective on guesswork. - Ahmad Beirami; A. Robert Calderbank; Mark M. Christiansen; Ken R. Duffy; Ali Makhdoumi; Muriel Médard (Allerton, 2015)

Threshold policy for global games with noisy information sharing. - Hessam Mahdavifar; Ahmad Beirami; Behrouz Touri; Jeff S. Shamma (CDC, 2015)

Quantifying computational security subject to source constraints, guesswork and inscrutability. - Ahmad Beirami; A. Robert Calderbank; Ken R. Duffy; Muriel Médard (ISIT, 2015)

Mismatched estimation in large linear systems. - Yanting Ma; Dror Baron; Ahmad Beirami (ISIT, 2015)

Diffusion channel with Poisson reception process: capacity results and applications. - Hessam Mahdavifar; Ahmad Beirami (ISIT, 2015)

A rate-distortion framework for supervised learning. - Matthew S. Nokleby; Ahmad Beirami; A. Robert Calderbank (MLSP, 2015)

Network compression via network memory: fundamental performance limits. - Ahmad Beirami (2015)

Rate-distortion bounds on Bayes risk in supervised learning. - Matthew S. Nokleby; Ahmad Beirami; A. Robert Calderbank (ISIT, 2016)

Performance trade-offs in multi-processor approximate message passing. - Junan Zhu; Ahmad Beirami; Dror Baron (ISIT, 2016)

Packet-Level Network Compression: Realization and Scaling of the Network-Wide Benefits. - Ahmad Beirami; Mohsen Sardari; Faramarz Fekri (IEEE/ACM Trans. Netw., 2016)

Wireless Network Compression Via Memory-Enabled Overhearing Helpers. - Ahmad Beirami; Mohsen Sardari; Faramarz Fekri (IEEE Trans. Wirel. Commun., 2016)

Guesswork subject to a total entropy budget. - Arman Rezaee; Ahmad Beirami; Ali Makhdoumi; Muriel Médard; Ken Duffy (Allerton, 2017)

Centralized vs decentralized multi-agent guesswork. - Salman Salamatian; Ahmad Beirami; Asaf Cohen 001; Muriel Médard (ISIT, 2017)

On Optimal Generalizability in Parametric Learning. - Ahmad Beirami; Meisam Razaviyayn; Shahin Shahrampour; Vahid Tarokh (NIPS, 2017)

On Data-Dependent Random Features for Improved Generalization in Supervised Learning. - Shahin Shahrampour; Ahmad Beirami; Vahid Tarokh (AAAI, 2018)

Information Bottleneck Methods for Distributed Learning. - Parinaz Farajiparvar; Ahmad Beirami; Matthew S. Nokleby (Allerton, 2018)

Supervised Learning Using Data-dependent Random Features with Application to Seizure Detection. - Shahin Shahrampour; Ahmad Beirami; Vahid Tarokh (CDC, 2018)

Global Games With Noisy Information Sharing. - Hessam Mahdavifar; Ahmad Beirami; Behrouz Touri; Jeff S. Shamma (IEEE Trans. Signal Inf. Process. over Networks, 2018)

From Demonstrations and Knowledge Engineering to a DNN Agent in a Modern Open-World Video Game. - Igor Borovikov; Ahmad Beirami (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2019)

Nonlinear Function Estimation with Empirical Bayes and Approximate Message Passing. - Hangjin Liu; You Joe Zhou; Ahmad Beirami; Dror Baron (Allerton, 2019)

Mismatched Guesswork and One-to-One Codes. - Salman Salamatian; Litian Liu; Ahmad Beirami; Muriel Médard (ITW, 2019)

Universal Compression with Side Information from a Correlated Source. - Ahmad Beirami; Faramarz Fekri (CoRR, 2019)

Winning Isn't Everything: Training Human-Like Agents for Playtesting and Game AI. - 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; et al. (CoRR, 2019)

Towards Interactive Training of Non-Player Characters in Video Games. - Igor Borovikov; Jesse Harder; Michael G. Sadovsky; Ahmad Beirami (CoRR, 2019)

On Multi-Agent Learning in Team Sports Games. - Yunqi Zhao; Igor Borovikov; Jason Rupert; Caedmon Somers; Ahmad Beirami (CoRR, 2019)

Mismatched Guesswork. - Salman Salamatian; Litian Liu; Ahmad Beirami; Muriel Médard (CoRR, 2019)

Bayesian Nonlinear Function Estimation with Approximate Message Passing. - Hangjin Liu; You Joe Zhou; Ahmad Beirami; Dror Baron (CoRR, 2019)

Why Botnets Work: Distributed Brute-Force Attacks Need No Synchronization. - Salman Salamatian; Wasim Huleihel; Ahmad Beirami; Asaf Cohen 001; Muriel Médard (IEEE Trans. Inf. Forensics Secur., 2019)

A Characterization of Guesswork on Swiftly Tilting Curves. - Ahmad Beirami; A. Robert Calderbank; Mark M. Christiansen; Ken R. Duffy; Muriel Médard (IEEE Trans. Inf. Theory, 2019)

Multi-theme generative adversarial terrain amplification. - Yiwei Zhao; Han Liu; Igor Borovikov; Ahmad Beirami; Maziar Sanjabi; Kazi A. Zaman (ACM Trans. Graph., 2019)

Competitive Balance in Team Sports Games. - Sofia Maria Nikolakaki; Ogheneovo Dibie; Ahmad Beirami; Nicholas Peterson; Navid Aghdaie; Kazi A. Zaman (CoG, 2020)

Situated and Interactive Multimodal Conversations. - 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 (COLING, 2020)

Resource Constrained Dialog Policy Learning Via Differentiable Inductive Logic Programming. - Zhenpeng Zhou; Ahmad Beirami; Paul A. Crook; Pararth Shah; Rajen Subba; Alborz Geramifard (COLING, 2020)

Rényi Fair Inference. - Sina Baharlouei; Maher Nouiehed; Ahmad Beirami; Meisam Razaviyayn (ICLR, 2020)

Fair Resource Allocation in Federated Learning. - Tian Li 005; Maziar Sanjabi; Ahmad Beirami; Virginia Smith (ICLR, 2020)

Network Traffic Compression With Side Information. - Ahmad Beirami; Faramarz Fekri (IEEE Access, 2020)

Federated Multi-Task Learning for Competing Constraints. - Tian Li 005; Shengyuan Hu 001; Ahmad Beirami; Virginia Smith (CoRR, 2020)

Winning Is Not Everything: Enhancing Game Development With Intelligent Agents. - 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; et al. (IEEE Trans. Games, 2020)

Centralized vs Decentralized Targeted Brute-Force Attacks: Guessing With Side-Information. - Salman Salamatian; Wasim Huleihel; Ahmad Beirami; Asaf Cohen 001; Muriel Médard (IEEE Trans. Inf. Forensics Secur., 2020)

DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue. - Hung Le 003; Chinnadhurai Sankar; Seungwhan Moon; Ahmad Beirami; Alborz Geramifard; Satwik Kottur (ACL/IJCNLP (1), 2021)

Tilted Empirical Risk Minimization. - Tian Li 005; Ahmad Beirami; Maziar Sanjabi; Virginia Smith (ICLR, 2021)

Ditto: Fair and Robust Federated Learning Through Personalization. - Tian Li 005; Shengyuan Hu 001; Ahmad Beirami; Virginia Smith (ICML, 2021)

An Analysis of State-of-the-Art Models for Situated Interactive MultiModal Conversations (SIMMC). - Satwik Kottur; Paul A. Crook; Seungwhan Moon; Ahmad Beirami; Eunjoon Cho; Rajen Subba; Alborz Geramifard (SIGDIAL, 2021)

Annotation Inconsistency and Entity Bias in MultiWOZ. - Kun Qian 016; Ahmad Beirami; Zhouhan Lin; Ankita De; Alborz Geramifard; Zhou Yu 005; Chinnadhurai Sankar (SIGDIAL, 2021)

Coded Machine Unlearning. - Nasser Aldaghri; Hessam Mahdavifar; Ahmad Beirami (IEEE Access, 2021)

FERMI: Fair Empirical Risk Minimization via Exponential Rényi Mutual Information. - Andrew Lowy; Rakesh Pavan; Sina Baharlouei; Meisam Razaviyayn; Ahmad Beirami (CoRR, 2021)

DAIR: Data Augmented Invariant Regularization. - Tianjian Huang; Shaunak Ashish Halbe; Chinnadhurai Sankar; Pooyan Amini; Satwik Kottur; Alborz Geramifard; Meisam Razaviyayn; Ahmad Beirami (CoRR, 2021)

FeO2: Federated Learning with Opt-Out Differential Privacy. - Nasser Aldaghri; Hessam Mahdavifar; Ahmad Beirami (CoRR, 2021)

Information-Theoretic Bayes Risk Lower Bounds for Realizable Models. - Matthew S. Nokleby; Ahmad Beirami (CoRR, 2021)

CheckDST: Measuring Real-World Generalization of Dialogue State Tracking Performance. - Hyundong Cho; Chinnadhurai Sankar; Christopher Lin; Kaushik Ram Sadagopan; Shahin Shayandeh; Asli Celikyilmaz; Jonathan May; Ahmad Beirami (CoRR, 2021)

Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics. - Hyundong Cho; Chinnadhurai Sankar; Christopher Lin; Kaushik Ram Sadagopan; Shahin Shayandeh; Asli Celikyilmaz; Jonathan May; Ahmad Beirami (EMNLP (Findings), 2022)

Robust Conversational Agents against Imperceptible Toxicity Triggers. - Ninareh Mehrabi; Ahmad Beirami; Fred Morstatter; Aram Galstyan (NAACL-HLT, 2022)

Database Search Results Disambiguation for Task-Oriented Dialog Systems. - Kun Qian 016; Satwik Kottur; Ahmad Beirami; Shahin Shayandeh; Paul A. Crook; Alborz Geramifard; Zhou Yu 005; Chinnadhurai Sankar (NAACL-HLT, 2022)

Guest Editorial: An End-to-End Machine Learning Perspective on Industrial IoT. - Rita H. Wouhaybi; Ravikumar Balakrishnan; Navid Naderializadeh; Ahmad Beirami; Marco Di Felice; Shadi A. Noghabi; Anirudh Badam; Shugong Xu (IEEE Internet Things Mag., 2022)

A Stochastic Optimization Framework for Fair Risk Minimization. - Andrew Lowy; Sina Baharlouei; Rakesh Pavan; Meisam Razaviyayn; Ahmad Beirami (Trans. Mach. Learn. Res., 2022)

Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. - Preethi Lahoti; Nicholas Blumm; Xiao Ma 010; Raghavendra Kotikalapudi; Sahitya Potluri; Qijun Tan; Hansa Srinivasan; Ben Packer; Ahmad Beirami; Alex Beutel; Jilin Chen (EMNLP, 2023)

Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts. - Pritam Sarkar; Ahmad Beirami; Ali Etemad (NeurIPS, 2023)

SpecTr: Fast Speculative Decoding via Optimal Transport. - Ziteng Sun; Ananda Theertha Suresh; Jae Hun Ro; Ahmad Beirami; Himanshu Jain; Felix X. Yu (NeurIPS, 2023)

Towards Robust Prompts on Vision-Language Models. - Jindong Gu; Ahmad Beirami; Xuezhi Wang 002; Alex Beutel; Philip H. S. Torr; Yao Qin 001 (CoRR, 2023)

Let's Do a Thought Experiment: Using Counterfactuals to Improve Moral Reasoning. - Xiao Ma 010; Swaroop Mishra; Ahmad Beirami; Alex Beutel; Jilin Chen (CoRR, 2023)

Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification. - James Atwood; Tina Tian; Ben Packer; Meghana Deodhar; Jilin Chen; Alex Beutel; Flavien Prost; Ahmad Beirami (CoRR, 2023)

A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models. - Jindong Gu; Zhen Han 003; Shuo Chen 014; Ahmad Beirami; Bailan He; Gengyuan Zhang; Ruotong Liao; Yao Qin 001; Volker Tresp; Philip H. S. Torr (CoRR, 2023)

Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning. - Ananth Balashankar; Xiao Ma 010; Aradhana Sinha; Ahmad Beirami; Yao Qin 001; Jilin Chen; Alex Beutel (CoRR, 2023)

FRAPPÉ: A Post-Processing Framework for Group Fairness Regularization. - Alexandru Tifrea; Preethi Lahoti; Ben Packer; Yoni Halpern; Ahmad Beirami; Flavien Prost (CoRR, 2023)

Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking. - Jacob Eisenstein; Chirag Nagpal; Alekh Agarwal; Ahmad Beirami; Alex D'Amour; Dj Dvijotham; Adam Fisch; Katherine A. Heller; Stephen Pfohl; Deepak Ramachandran; Peter Shaw 004; Jonathan Berant (CoRR, 2023)

On Tilted Losses in Machine Learning: Theory and Applications. - Tian Li 005; Ahmad Beirami; Maziar Sanjabi; Virginia Smith (J. Mach. Learn. Res., 2023)

Robustness through Data Augmentation Loss Consistency. - Tianjian Huang; Shaunak Ashish Halbe; Chinnadhurai Sankar; Pooyan Amini; Satwik Kottur; Alborz Geramifard; Meisam Razaviyayn; Ahmad Beirami (Trans. Mach. Learn. Res., 2023)

Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective. - Bhagyashree Puranik; Ahmad Beirami; Yao Qin 001; Upamanyu Madhow (AISTATS, 2024)

Gradient-Based Language Model Red Teaming. - Nevan Wichers; Carson Denison; Ahmad Beirami (EACL (1), 2024)

Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment. - Zhaofeng Wu; Ananth Balashankar; Yoon Kim; Jacob Eisenstein; Ahmad Beirami (EMNLP, 2024)

Enhancing Group Fairness in Online Settings Using Oblique Decision Forests. - Somnath Basu Roy Chowdhury; Nicholas Monath; Ahmad Beirami; Rahul Kidambi; Kumar Avinava Dubey; Amr Ahmed 001; Snigdha Chaturvedi (ICLR, 2024)

Controlled Decoding from Language Models. - 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; et al. (ICML, 2024)

FRAPPÉ: A Group Fairness Framework for Post-Processing Everything. - Alexandru Tifrea; Preethi Lahoti; Ben Packer; Yoni Halpern; Ahmad Beirami; Flavien Prost (ICML, 2024)

Asymptotics of Language Model Alignment. - Joy Qiping Yang; Salman Salamatian; Ziteng Sun; Ananda Theertha Suresh; Ahmad Beirami (ISIT, 2024)

Theoretical guarantees on the best-of-n alignment policy. - Ahmad Beirami; Alekh Agarwal; Jonathan Berant; Alexander D'Amour; Jacob Eisenstein; Chirag Nagpal; Ananda Theertha Suresh (CoRR, 2024)

Optimal Block-Level Draft Verification for Accelerating Speculative Decoding. - Ziteng Sun; Jae Hun Ro; Ahmad Beirami; Ananda Theertha Suresh (CoRR, 2024)

Mitigating Object Hallucination via Data Augmented Contrastive Tuning. - Pritam Sarkar; Sayna Ebrahimi; Ali Etemad; Ahmad Beirami; Sercan Ö. Arik; Tomas Pfister (CoRR, 2024)

Robust Preference Optimization through Reward Model Distillation. - Adam Fisch; Jacob Eisenstein; Vicky Zayats; Alekh Agarwal; Ahmad Beirami; Chirag Nagpal; Petet Shaw; Jonathan Berant (CoRR, 2024)

Inducing Group Fairness in LLM-Based Decisions. - James Atwood; Preethi Lahoti; Ananth Balashankar; Flavien Prost; Ahmad Beirami (CoRR, 2024)

Generalization Error of the Tilted Empirical Risk. - Gholamali Aminian; Amir R. Asadi; Tian Li; Ahmad Beirami; Gesine Reinert; Samuel N. Cohen (CoRR, 2024)

InfAlign: Inference-aware language model alignment. - Ananth Balashankar; Ziteng Sun; Jonathan Berant; Jacob Eisenstein; Michael Collins 001; Adrian Hutter; Jong Lee; Chirag Nagpal; Flavien Prost; Aradhana Sinha; Ananda Theertha Suresh; Ahmad Beirami (CoRR, 2024)

Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing. - Lucas Monteiro Paes; Ananda Theertha Suresh; Alex Beutel; Flávio P. Calmon; Ahmad Beirami (IEEE J. Sel. Areas Inf. Theory, 2024)

Overview of the Ninth Dialog System Technology Challenge: DSTC9. - R. Chulaka Gunasekara; Seokhwan Kim; Luis Fernando D'Haro; Abhinav Rastogi; Yun-Nung Chen; Mihail Eric; Behnam Hedayatnia; Karthik Gopalakrishnan 001; Yang Liu 004; Chao-Wei Huang; Dilek Hakkani-Tür; Jinchao Li; et al. (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks. - Aradhana Sinha; Ananth Balashankar; Ahmad Beirami; Thi Avrahami; Jilin Chen; Alex Beutel (Trans. Mach. Learn. Res., 2024)

Fundamental Limits of Perfect Concept Erasure. - Somnath Basu Roy Chowdhury; Kumar Avinava Dubey; Ahmad Beirami; Rahul Kidambi; Nicholas Monath; Amr Ahmed 001; Snigdha Chaturvedi (AISTATS, 2025)

Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment. - Soumya Suvra Ghosal; Souradip Chakraborty; Vaibhav Singh; Tianrui Guan; Mengdi Wang; Ahmad Beirami; Furong Huang; Alvaro Velasquez; Dinesh Manocha; Amrit Singh Bedi (CVPR, 2025)

Safety Alignment Should be Made More Than Just a Few Tokens Deep. - Xiangyu Qi; Ashwinee Panda; Kaifeng Lyu; Xiao Ma 010; Subhrajit Roy; Ahmad Beirami; Prateek Mittal; Peter Henderson 002 (ICLR, 2025)

Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment. - Pritam Sarkar; Sayna Ebrahimi; Ali Etemad; Ahmad Beirami; Sercan Ö. Arik; Tomas Pfister (ICLR, 2025)

Block Verification Accelerates Speculative Decoding. - Ziteng Sun; Uri Mendlovic; Yaniv Leviathan; Asaf Aharoni; Jae Hun Ro; Ahmad Beirami; Ananda Theertha Suresh (ICLR, 2025)

Robust Preference Optimization through Reward Model Distillation. - Adam Fisch; Jacob Eisenstein; Vicky Zayats; Alekh Agarwal; Ahmad Beirami; Chirag Nagpal; Peter Shaw 004; Jonathan Berant (Trans. Mach. Learn. Res., 2025)

CoDe: Blockwise Control for Denoising Diffusion Models. - Anuj Singh; Sayak Mukherjee; Ahmad Beirami; Hadi Jamali Rad (Trans. Mach. Learn. Res., 2025)

Improving Neutral Point of View Text Generation through Parameter-Efficient Reinforcement Learning and a Small-Scale High-Quality Dataset. - Jessica Hoffmann; Christiane Ahlheim; Zac Yu; Aria Walfrand; Jarvis Jin; Marie Tano; Ahmad Beirami; Erin van Liemt; Nithum Thain; Hakim Sidahmed; Lucas Dixon (CoRR, 2025)

Review, Refine, Repeat: Understanding Iterative Decoding of AI Agents with Dynamic Evaluation and Selection. - Souradip Chakraborty; Mohammadreza Pourreza; Ruoxi Sun 002; Yiwen Song; Nino Scherrer; Furong Huang; Amrit Singh Bedi; Ahmad Beirami; Jindong Gu; Hamid Palangi; Tomas Pfister (CoRR, 2025)

SPECS: Faster Test-Time Scaling through Speculative Drafts. - Mert Cemri; Nived Rajaraman; Rishabh Tiwari; Xiaoxuan Liu; Kurt Keutzer; Ion Stoica; Kannan Ramchandran; Ahmad Beirami; Ziteng Sun (CoRR, 2025)

Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis. - Gholamali Aminian; Idan Shenfeld; Amir R. Asadi; Ahmad Beirami; Youssef Mroueh (CoRR, 2025)