29 citations · 50 across the 8 of their papers we have counts for
8 papers
RAPID: Reliability-Aware Pair Importance Distillation
Ali Mahdavi, Azadeh Zamanifar, Amirfarhad Farhadi +1
Inter example relational distillation transfers a teacher's representation geometry by matching relations among examples within a mini batch. Computing all pairs has quadratic comp…
Spectral-LSH: Sub-Quadratic Prompt Compression via Krylov-Projected Locality-Sensitive Hashing
Ali Mahdavi, Azaseh Zamanifar, Amirfarhad Farhadi +1
Long-prompt inference remains expensive because prefill attention scales quadratically with sequence length. We propose Spectral-LSH, a training-free prompt compression method that…
Causal Unlearning in Collaborative Optimization: Exact and Approximate Influence Reversal under Adversarial Contributions
Ali Mahdavi, Azadeh Zamanifar, Amirfarhad Farhadi +1
Federated learning systems must support data deletion requests to comply with privacy regulations, yet retraining from scratch after each deletion is computationally prohibitive. W…
ArgRewrite V.2: an Annotated Argumentative Revisions Corpus
Omid Kashefi, Tazin Afrin, Meghan Dale +4
Analyzing how humans revise their writings is an interesting research question, not only from an educational perspective but also in terms of artificial intelligence. Better unders…
Effective Interfaces for Student-Driven Revision Sessions for Argumentative Writing
Tazin Afrin, Omid Kashefi, Christopher Olshefski +3
We present the design and evaluation of a web-based intelligent writing assistant that helps students recognize their revisions of argumentative essays. To understand how our revis…
Unsupervised Part-of-Speech Induction
Omid Kashefi
Part-of-Speech (POS) tagging is an old and fundamental task in natural language processing. While supervised POS taggers have shown promising accuracy, it is not always feasible to…
MIZAN: A Large Persian-English Parallel Corpus
Omid Kashefi
One of the most major and essential tasks in natural language processing is machine translation that is now highly dependent upon multilingual parallel corpora. Through this paper,…
A Low-Energy Fast Cyber Foraging Mechanism for Mobile Devices
Somayeh Kafaie, Omid Kashefi, Mohsen Sharifi
The ever increasing demands for using resource-constrained mobile devices for running more resource intensive applications nowadays has initiated the development of cyber foraging…