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Nafis Sadeq

University of California San Diego

8 papers hereh-index 7101 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author2
  • last author2

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.IR3
  • cs.CV1
affiliations
  • University of California San Diego
Homepage

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedImproving In-Context Learning with Reasoning Distillation

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing cs.IRShow all

3 papers · 1 filter

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.IR2024

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.