activity
20222026
most citedInforMask: Unsupervised Informative Masking for Language Model Pretraining

12 citations · 18 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

A Benchmark for Bangla Task-Oriented Dialogue Understanding

Afrina Alam Lamia, Sumiaya Sharif, Prottoy Modak +2

Task-oriented dialogue understanding remains underexplored for Bangla, particularly in multilingual settings involving English and romanized Bangla (Banglish). We introduce BanglaT…

cs.IR2026

Constraint-Aware Conversational Job Recommendation in Code-Mixed Low-Resource Settings

Md Arman Hossain, Mubashir Jawad, Fariha Khandaker Moon +5

Conversational job recommendation requires jointly modeling semantic relevance, user preferences, eligibility requirements, and the noisy language used in real-world career discuss…

cs.IR2026

Leveraging Code-Mixed Product Metadata and User Feedback for Personalized Recommendation on Daraz Bangladesh

KM Fahim A Bari, Muhammad Abdullah Adnan, Nafis Sadeq

Bangladeshi e-commerce platforms host millions of product reviews written in Bengali Unicode, English, and Banglish, where Bengali is phonetically transcribed in Latin script. Howe…

cs.IR2026

Towards Personalized Bangla Book Recommendation: A Large-Scale Heterogeneous Book Graph Dataset

Rahin Arefin Ahmed, Md. Anik Chowdhury, Sakil Ahmed Sheikh Reza +4

Personalized book recommendation in Bangla literature has been constrained by the lack of structured, large-scale, and publicly available datasets. This work introduces RokomariBG,…

cs.CV2026

Open Vocabulary Panoptic Segmentation With Retrieval Augmentation

Nafis Sadeq, Qingfeng Liu, Mostafa El-Khamy

Given an input image and set of class names, panoptic segmentation aims to label each pixel in an image with class labels and instance labels. In comparison, Open Vocabulary Panopt…