CLIReval: Evaluating Machine Translation as a Cross-Lingual Information Retrieval Task. - Shuo Sun; Suzanna Sia; Kevin Duh (ACL (demo), 2020)

Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too! - Suzanna Sia; Ayush Dalmia; Sabrina J. Mielke (EMNLP (1), 2020)

Adaptive Mixed Component LDA for Low Resource Topic Modeling. - Suzanna Sia; Kevin Duh (EACL, 2021)

Clustering with UMAP: Why and How Connectivity Matters. - Ayush Dalmia; Suzanna Sia (CoRR, 2021)

Modeling Constraints Can Identify Winning Arguments in Multi-Party Interactions (Student Abstract). - Suzanna Sia; Kokil Jaidka; Niyati Chayya; Kevin Duh (AAAI, 2022)

Prefix Embeddings for In-context Machine Translation. - Suzanna Sia; Kevin Duh (AMTA, 2022)

Offer a Different Perspective: Modeling the Belief Alignment of Arguments in Multi-party Debates. - Suzanna Sia; Kokil Jaidka; Hansin Ahuja; Niyati Chhaya; Kevin Duh (EMNLP, 2022)

Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI. - Suzanna Sia; Anton Belyy; Amjad Almahairi; Madian Khabsa; Luke Zettlemoyer; Lambert Mathias (AAAI, 2023)

In-context Learning as Maintaining Coherency: A Study of On-the-fly Machine Translation Using Large Language Models. - Suzanna Sia; Kevin Duh (CoRR, 2023)

Anti-LM Decoding for Zero-shot In-context Machine Translation. - Suzanna Sia; Alexandra DeLucia; Kevin Duh (NAACL-HLT (Findings), 2024)

Where does In-context Learning Happen in Large Language Models? - Suzanna Sia; David Mueller; Kevin Duh (NeurIPS, 2024)

Where does In-context Translation Happen in Large Language Models. - Suzanna Sia; David Mueller; Kevin Duh (CoRR, 2024)

EFF BI: Effortless Business Intelligence -Text-to-Vis from LLM Agents. - Vaishnav Muralidharan; Ho Cheng En Bryan; Tan Wee Kian Justin; Muhammad Reyaaz; Suzanna Sia (WWW (Companion Volume), 2025)