33 citations · 62 across the 26 of their papers we have counts for
28 papers
Evaluating the Diagnostic Robustness of Vision-Language Models Under Visual and Textual Perturbations
Ali Khoramfar, Mohammad Javad Dousti, Alireza Mohamadian +1
Standard accuracy metrics for VLMs often mask significant reliability failures in sensitive domains. In this work, we utilize a histopathology-validated brain MRI dataset to system…
MDP-GRPO: Stabilized Group Relative Policy Optimization for Multi-Constraint Instruction Following
Mohammad Mahdi Salmani-Zarchi, Zahra Rahimi, Heshaam Faili +1
Reinforcement learning with verifiable rewards is ideal for multi-constraint instruction following, yet standard group-relative policy optimization (GRPO) becomes unstable under di…
PARSA-Bench: A Comprehensive Persian Audio-Language Model Benchmark
Mohammad Javad Ranjbar Kalahroodi, Mohammad Amini, Parmis Bathayan +2
Persian poses unique audio understanding challenges through its classical poetry, traditional music, and pervasive code-switching, none of which is captured by existing benchmarks.…
PersianPunc: A Large-Scale Dataset and BERT-Based Approach for Persian Punctuation Restoration
Mohammad Javad Ranjbar Kalahroodi, Heshaam Faili, Azadeh Shakery
Punctuation restoration is essential for improving the readability and downstream utility of automatic speech recognition (ASR) outputs, yet remains underexplored for Persian despi…
ParsVoice: A Large-Scale Multi-Speaker Persian Speech Corpus for Text-to-Speech Synthesis
Mohammad Javad Ranjbar Kalahroodi, Heshaam Faili, Azadeh Shakery
Persian remains substantially underrepresented in open speech-text resources, limiting progress in multi-speaker text-to-speech (TTS), speech-language modelling, and low-resource s…
SearchInstruct: Enhancing Domain Adaptation via Retrieval-Based Instruction Dataset Creation
Iman Barati, Mostafa Amiri, Heshaam Faili
Supervised Fine-Tuning (SFT) is essential for training large language models (LLMs), significantly enhancing critical capabilities such as instruction following and in-context lear…
PersianMedQA: Evaluating Large Language Models on a Persian-English Bilingual Medical Question Answering Benchmark
Mohammad Javad Ranjbar Kalahroodi, Amirhossein Sheikholselami, Sepehr Karimi +3
Large Language Models (LLMs) have achieved remarkable performance on a wide range of Natural Language Processing (NLP) benchmarks, often surpassing human-level accuracy. However, t…
SchemaGraphSQL: Efficient Schema Linking with Pathfinding Graph Algorithms for Text-to-SQL on Large-Scale Databases
AmirHossein Safdarian, Milad Mohammadi, Ehsan Jahanbakhsh +2
Text-to-SQL systems translate natural language questions into executable SQL queries, and recent progress with large language models (LLMs) has driven substantial improvements in t…
DeepQuestion: Systematic Generation of Real-World Challenges for Evaluating LLMs Performance
Ali Khoramfar, Ali Ramezani, Mohammad Mahdi Mohajeri +3
While Large Language Models (LLMs) achieve near-human performance on standard benchmarks, their capabilities often fail to generalize to complex, real-world problems. To bridge thi…
Matina: A Large-Scale 73B Token Persian Text Corpus
Sara Bourbour Hosseinbeigi, Fatemeh Taherinezhad, Heshaam Faili +3
Text corpora are essential for training models used in tasks like summarization, translation, and large language models (LLMs). While various efforts have been made to collect mono…
PerSHOP -- A Persian dataset for shopping dialogue systems modeling
Keyvan Mahmoudi, Heshaam Faili
Nowadays, dialogue systems are used in many fields of industry and research. There are successful instances of these systems, such as Apple Siri, Google Assistant, and IBM Watson.…
Persian Typographical Error Type Detection Using Deep Neural Networks on Algorithmically-Generated Misspellings
Mohammad Dehghani, Heshaam Faili
Spelling correction is a remarkable challenge in the field of natural language processing. The objective of spelling correction tasks is to recognize and rectify spelling errors au…
Mismatching-Aware Unsupervised Translation Quality Estimation For Low-Resource Languages
Fatemeh Azadi, Heshaam Faili, Mohammad Javad Dousti
Translation Quality Estimation (QE) is the task of predicting the quality of machine translation (MT) output without any reference. This task has gained increasing attention as an…
Pruned Graph Neural Network for Short Story Ordering
Melika Golestani, Zeinab Borhanifard, Farnaz Tahmasebian +1
Text coherence is a fundamental problem in natural language generation and understanding. Organizing sentences into an order that maximizes coherence is known as sentence ordering.…
A New Sentence Ordering Method Using BERT Pretrained Model
Melika Golestani, Seyedeh Zahra Razavi, Heshaam Faili
Building systems with capability of natural language understanding (NLU) has been one of the oldest areas of AI. An essential component of NLU is to detect logical succession of ev…
NLP-IIS@UT at SemEval-2021 Task 4: Machine Reading Comprehension using the Long Document Transformer
Hossein Basafa, Sajad Movahedi, Ali Ebrahimi +2
This paper presents a technical report of our submission to the 4th task of SemEval-2021, titled: Reading Comprehension of Abstract Meaning. In this task, we want to predict the co…
Cross-Lingual Adaptation Using Universal Dependencies
Nasrin Taghizadeh, Heshaam Faili
We describe a cross-lingual adaptation method based on syntactic parse trees obtained from the Universal Dependencies (UD), which are consistent across languages, to develop classi…
NSURL-2019 Task 7: Named Entity Recognition (NER) in Farsi
Nasrin Taghizadeh, Zeinab Borhanifard, Melika GolestaniPour +1
NSURL-2019 Task 7 focuses on Named Entity Recognition (NER) in Farsi. This task was chosen to compare different approaches to find phrases that specify Named Entities in Farsi text…
Aspect Category Detection via Topic-Attention Network
Sajad Movahedi, Erfan Ghadery, Heshaam Faili +1
The e-commerce has started a new trend in natural language processing through sentiment analysis of user-generated reviews. Different consumers have different concerns about variou…
An Unsupervised Approach for Aspect Category Detection Using Soft Cosine Similarity Measure
Erfan Ghadery, Sajad Movahedi, Heshaam Faili +1
Aspect category detection is one of the important and challenging subtasks of aspect-based sentiment analysis. Given a set of pre-defined categories, this task aims to detect categ…
PEYMA: A Tagged Corpus for Persian Named Entities
Mahsa Sadat Shahshahani, Mahdi Mohseni, Azadeh Shakery +1
The goal in the NER task is to classify proper nouns of a text into classes such as person, location, and organization. This is an important preprocessing step in many NLP tasks su…
A Behavioral Analysis on the Reselection of Seed Nodes in Independent Cascade Based Influence Maximization
Ali Vardasbi, Heshaam Faili, Masoud Asadpour
Influence maximization serves as the main goal of a variety of social network activities such as viral marketing and campaign advertising. The independent cascade model for the inf…
Persian Wordnet Construction using Supervised Learning
Zahra Mousavi, Heshaam Faili
This paper presents an automated supervised method for Persian wordnet construction. Using a Persian corpus and a bi-lingual dictionary, the initial links between Persian words and…
SS4MCT: A Statistical Stemmer for Morphologically Complex Texts
Javid Dadashkarimi, Hossein Nasr Esfahani, Heshaam Faili +1
There have been multiple attempts to resolve various inflection matching problems in information retrieval. Stemming is a common approach to this end. Among many techniques for ste…