12 citations · 18 across the 9 of their papers we have counts for
11 papers
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…
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…
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…
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,…
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…
Improving In-Context Learning with Reasoning Distillation
Nafis Sadeq, Xin Xu, Zhouhang Xie +4
Language models rely on semantic priors to perform in-context learning, which leads to poor performance on tasks involving inductive reasoning. Instruction-tuning methods based on…
Bridging Conversational and Collaborative Signals for Conversational Recommendation
Ahmad Bin Rabiah, Nafis Sadeq, Julian McAuley
Conversational recommendation systems (CRS) leverage contextual information from conversations to generate recommendations but often struggle due to a lack of collaborative filteri…
Towards LifeSpan Cognitive Systems
Yu Wang, Chi Han, Tongtong Wu +9
Building a human-like system that continuously interacts with complex environments -- whether simulated digital worlds or human society -- presents several key challenges. Central…
Mitigating Hallucination in Fictional Character Role-Play
Nafis Sadeq, Zhouhang Xie, Byungkyu Kang +3
Role-playing has wide-ranging applications in customer support, embodied agents, and computational social science. The influence of parametric world knowledge of large language mod…
Unsupervised Improvement of Factual Knowledge in Language Models
Nafis Sadeq, Byungkyu Kang, Prarit Lamba +1
Masked language modeling (MLM) plays a key role in pretraining large language models. But the MLM objective is often dominated by high-frequency words that are sub-optimal for lear…
InforMask: Unsupervised Informative Masking for Language Model Pretraining
Nafis Sadeq, Canwen Xu, Julian McAuley
Masked language modeling is widely used for pretraining large language models for natural language understanding (NLU). However, random masking is suboptimal, allocating an equal m…