◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Hamza Farooq

6 papers hereh-index 214 citations6 works total

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

author position
  • last author3

Across the 3 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.AI1
  • cs.IR1
same name
  • Hamza Farooq — 2 papers, h 5
  • Hamza Farooq — 1 paper
  • Hamza Farooq — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

UrduBench: An Urdu Reasoning Benchmark using Contextually Ensembled Translations with Human-in-the-Loop

Muhammad Ali Shafique, Areej Mehboob, Layba Fiaz +2

Recent advances in large language models (LLMs) have led to strong reasoning capabilities; however, evaluating such models in low-resource languages remains challenging due to the…

cs.CL2025

Alif: Advancing Urdu Large Language Models via Multilingual Synthetic Data Distillation

Muhammad Ali Shafique, Kanwal Mehreen, Muhammad Arham +3

Developing a high-performing large language models (LLMs) for low-resource languages such as Urdu, present several challenges. These challenges include the scarcity of high-quality…

cs.CL2025

Robust and Fine-Grained Detection of AI Generated Texts

Ram Mohan Rao Kadiyala, Siddartha Pullakhandam, Kanwal Mehreen +11

An ideal detection system for machine generated content is supposed to work well on any generator as many more advanced LLMs come into existence day by day. Existing systems often…

cs.CL2025

Improving Multilingual Capabilities with Cultural and Local Knowledge in Large Language Models While Enhancing Native Performance

Ram Mohan Rao Kadiyala, Siddartha Pullakhandam, Siddhant Gupta +6

Large Language Models (LLMs) have shown remarkable capabilities, but their development has primarily focused on English and other high-resource languages, leaving many languages un…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.