LLM Behavior · Tool Use · Multilingual Adaptation

Kanwal Mehreen

22 tokens · 1 sentence

MSc Computer Science @ UBC/ advised by Prof. Laks V.S. Lakshmanan/ Vancouver, BC

Kanwal Mehreen

About me

00 / hello

السلام علیکم! I'm a Computer Science master's student at UBC, advised by Prof. Laks V.S. Lakshmanan. My research is about understanding why large language models behave the way they do and then optimizing that behavior into something better.

I want models that do more than sound capable: models that know when to reason, when to act, and when not to pretend they know.

My thesis, in one breath

How should an LLM agent balance three forces: what the user is asking for (and what it may still need to ask them), what the model already knows in its parameters (internal reasoning), and what it can reach for in the world through tools and function calls (external action)? The interesting question is when a model should think versus act versus pause to ask for clarification and how to make that trade-off efficient, reliable, and safe.

user · askparams · reasontools · act
LLM behavior tool use & agents multilingual adaptation post-training technical writer community builder
$100K
Meta Llama
Accelerator — won
5+
papers @ EMNLP,
AACL, COLING
2000+
students in
FEMCodes & Mitacs Community Pakistan
100+
countries via
Cohere Labs

Research & publications

01 / the work
2026
Empathy Is Not the Scapegoat for Declines in Factuality and Reliability
K. Mehreen*, L. Shi, D. Zhang, Y. Wang
Submitted · EMNLP 2026
2025
Alif: Advancing Urdu Large Language Models via Multilingual Synthetic Data Distillation
M. A. Shafique, K. Mehreen*, et al.
MRL @ EMNLP 2025
2025
Improving Multilingual Capabilities with Cultural and Domain Knowledge in LLMs
R. Kadiyala, S. Pullakhandam, S. Gupta, D. Sharma, J. Purbey, K. Mehreen*, et al.
AACL 2025
2025
Query Attribute Modeling: Improving Search Relevance with Semantic Search & Metadata Filtering
K. Menon, B. Haider, M. Arham, K. Mehreen*, et al.
ICDM Workshop 2025
2025
Robust and Fine-Grained Detection of AI Generated Texts
R. Kadiyala, S. Pullakhandam, K. Mehreen*, D. Sharma, et al.
Submitted · arXiv 2025
2025
Devanagari Script Languages: Detection of Language, Hate Speech, and Targets
J. Purbey, S. Pullakhandam, K. Mehreen*, et al.
CHIPSAL @ COLING 2025
2024
Augmenting Legal Decision Support Systems with LLM-based NLI for Social Media Evidence
R. Kadiyala, S. Pullakhandam, K. Mehreen*, et al.
NLLP @ EMNLP 2024

📚 Also co-author of two books: Mastering Digital Art with Stable Diffusion and Maximizing Productivity with ChatGPT and full publication list on my Google Scholar.

News

02 / what's happening
$100K
★ Featured · 2024

We won Meta's Llama Accelerator.

Out of 13 countries across APAC, our team took home the top award for building culturally-relevant LLMs for the 2.5 billion people the internet keeps forgetting — representing Pakistan on a global stage. It's the project that turned "make models work in Urdu" from a side quest into my research direction.

2025

Started my MSc in Computer Science at UBC

Joined Prof. Laks V.S. Lakshmanan's group to work on LLM behavior, agents, and tool use.

2025

Alif: an Urdu LLM released on Hugging Face

Token expansion, continual pre-training, and culturally-grounded instruction tuning; +14.4% on the Urdu MMLU benchmark.

On stage

03 / talks

Non-profit & community

04 / giving back

FEMCodes

Founder

The non-profit I founded to grow women's careers in STEM through mentoring, skill-building, and confidence. Pakistan went on to secure the 2nd-highest count of Linux Foundation Scholarship recipients worldwide.

800+ students · 8 team members

Cohere Labs

Geo Regional Asia Lead

Community lead at Cohere For AI, an open-science non-profit. I host and coordinate study sessions with researchers around the world.

3,500+ members · 100+ countries

MITACS Community Pakistan

Founder

Extended the reach and mission of MITACS (a Canadian research non-profit) into Pakistan, connecting students to global research opportunities.

1,500+ members

Words, not just weights

I write to understand.

Writing is how I test whether I really understand an idea: if I can't explain clearly, I probably haven't understood it deeply enough yet.

Let's make models behave.

I'm looking for research internships in NLP and LLMs behavior, agents, tool use, multilingual. If your team cares about understanding why models do what they do, I'd love to talk.