Chau Minh Pham — accepted AI-conference papers

2025

OWL: Probing Cross-Lingual Recall of Memorized Texts via World Literature

Alisha Srivastava, Emir Kaan Korukluoglu, Minh Nhat Le, Duyen Tran, Chau Minh Pham, Marzena Karpinska +1

EMNLP 2025

Large language models (LLMs) are known to memorize and recall English text from their pretraining data. However, the extent to which this ability generalizes to non-English languages or transfers across languages remains unclear. This paper investigates multilingual and cross-lingual memorization in

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2024

Suri: Multi-constraint Instruction Following in Long-form Text Generation

Chau Minh Pham, Simeng Sun, Mohit Iyyer

EMNLP 2024finding

Existing research on instruction following largely focuses on tasks with simple instructions and short responses. In this work, we explore multi-constraint instruction following for generating long-form text. We create Suri, a dataset with 20K human-written long-form texts paired with LLM-generated…

Cited by 17 Source ↗PDF ↗code ↗Scholar ↗

2024

TopicGPT: A Prompt-based Topic Modeling Framework

Chau Minh Pham, Alexander Hoyle, Simeng Sun, Philip Resnik, Mohit Iyyer

NAACL 2024long

Topic modeling is a well-established technique for exploring text corpora. Conventional topic models (e.g., LDA) represent topics as bags of words that often require “reading the tea leaves” to interpret; additionally, they offer users minimal control over the formatting and specificity of resulting…

Cited by 98 Source ↗PDF ↗code ↗Scholar ↗