Galloping in natural merge sorts. - Vincent Jugé; Ghazal Khalighinejad (CoRR, 2020)

Galloping in Fast-Growth Natural Merge Sorts. - Elahe Ghasemi; Vincent Jugé; Ghazal Khalighinejad (ICALP, 2022)

Approximating CKY with Transformers. - Ghazal Khalighinejad; Ollie Liu; Sam Wiseman (EMNLP (Findings), 2023)

Exploring the Effect of Frequency Resolution in FNet. - Gregory Szumel; Ghazal Khalighinejad; Rickard Stureborg; Sam Wiseman (SustaiNLP, 2023)

Extracting Polymer Nanocomposite Samples from Full-Length Documents. - Ghazal Khalighinejad; Defne Circi; L. Catherine Brinson; Bhuwan Dhingra (ACL (Findings), 2024)

IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations. - Deqing Fu; Ghazal Khalighinejad; Ollie Liu; Bhuwan Dhingra; Dani Yogatama; Robin Jia; Willie Neiswanger (CoRR, 2024)

Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry. - Yoel Zimmermann; Adib Bazgir; Zartashia Afzal; Fariha Agbere; Qianxiang Ai; Nawaf Alampara; Alexander Al-Feghali; Mehrad Ansari; Dmytro Antypov; Amro Aswad; Jiaru Bai; Viktoriia Baibakova; et al. (CoRR, 2024)

Training Neural Networks as Recognizers of Formal Languages. - Alexandra Butoi; Ghazal Khalighinejad; Anej Svete; Josef Valvoda; Ryan Cotterell; Brian DuSell (ICLR, 2025)

MatViX: Multimodal Information Extraction from Visually Rich Articles. - Ghazal Khalighinejad; Sharon Scott; Ollie Liu; Kelly L. Anderson; Rickard Stureborg; Aman Tyagi; Bhuwan Dhingra (NAACL (Long Papers), 2025)

Galloping in Fast-Growth Natural Merge Sorts. - Elahe Ghasemi; Vincent Jugé; Ghazal Khalighinejad; Helia Yazdanyar (Algorithmica, 2025)

Correction: Galloping in Fast-Growth Natural Merge Sorts. - Elahe Ghasemi; Vincent Jugé; Ghazal Khalighinejad; Helia Yazdanyar (Algorithmica, 2025)

34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery. - Yoel Zimmermann; Adib Bazgir; Alexander Al-Feghali; Mehrad Ansari; Joshua D. Bocarsly; L. Catherine Brinson; Yuan Chiang; Defne Circi; Min-Hsueh Chiu; Nathan Daelman; Matthew L. Evans; Abhijeet Sadashiv Gangan; et al. (CoRR, 2025)