Laura Mascarell.

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I am a postdoctoral researcher in Professor Sundong Kim's lab at the Gwangju Institute of Science and Technology (GIST) in South Korea, supported by the Research Group for Bio-Embodied Physical AI.

My research focuses on how agents reason and adapt in novel environments using ARC-AGI-3, contributing to broader questions about generalization and open-ended learning.

Previously, I was a postdoctoral researcher at ETH Zurich. I have a background in computer science and hold a PhD in computational linguistics from the University of Zurich.

Research Email
Research

My current research focuses on adaptive agent systems and world modeling in novel environments — new work on these is forthcoming.

  1. 2026EIMLICML

    When Prediction Is Not Enough: Identifying Hidden Structure under Partial Observation

    Jeongjun Lee*, Laura Mascarell*, Lancelot Da Costa, Ukyo T. Tazawa, Sundong Kim

    EIML Workshop, ICML 2026

Computational Linguistics & NLP — earlier work
  1. 2024Findings ACL

    Which Information Matters? Dissecting Human‑written Multi‑document Summaries with Partial Information Decomposition

    Laura Mascarell, Yan L'Homme, Majed El Helou

    Findings of the Association for Computational Linguistics, ACL 2024

    Paper Poster Code
  2. 2024CustomNLP4UEMNLP

    AdapEval: Evaluating Large Language Models on Domain Adaptation for Text Summarization

    Anum Afzal, Ribin Chalumattu, Florian Matthes, Laura Mascarell

    CustomNLP4U Workshop, EMNLP 2024

    Paper
  3. 2024LREC-COLING

    German Also Hallucinates! Inconsistency Detection in News Summaries with the Absinth Dataset

    Laura Mascarell*, Ribin Chalumattu*, Annette Rios

    LREC-COLING 2024

    Paper Poster Dataset
  4. 2023INLG

    Entropy‑based Sampling for Abstractive Multi‑document Summarization in Low‑resource Settings

    Laura Mascarell, Ribin Chalumattu, Julien Heitmann

    INLG 2023

    Paper Dataset
  5. 2023ACL Demos

    OpenTIPE: An Open‑source Translation Framework for Interactive Post‑Editing Research

    Fabian Landwehr, Thomas Steinmann, Laura Mascarell

    ACL System Demonstrations 2023

    Paper Code Demo Video
  6. 2021FEVEREMNLP

    Stance Detection in German News Articles

    Laura Mascarell*, Tatyana Ruzsics*, Christian Schneebeli*, Philippe Schlattner*, Luca Campanella*, Severin Klingler, Cristina Kadar

    FEVER Workshop, EMNLP 2021

    Paper Dataset
  7. 2017WMT

    Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings

    Annette Rios, Laura Mascarell, Rico Sennrich

    WMT 2017

    Paper
  8. 2017DiscoMTEMNLP

    Lexical Chains meet Word Embeddings in Document‑level Statistical Machine Translation

    Laura Mascarell

    DiscoMT Workshop, EMNLP 2017

    Paper
  9. 2017EACL

    Consistent Translation of Repeated Nouns using Syntactic and Semantic Cues

    Xiao Pu, Laura Mascarell, Andrei Popescu-Belis

    EACL 2017

    Paper
  10. 2015DiscoMTEMNLP

    Detecting Document‑level Context Triggers to Resolve Translation Ambiguity

    Laura Mascarell, Mark Fishel, Martin Volk

    DiscoMT Workshop, EMNLP 2015

    Paper
  11. 2015ACL-IJCNLP SRW

    Leveraging Compounds to Improve Noun Phrase Translation from Chinese and German

    Xiao Pu, Laura Mascarell, Andrei Popescu-Belis, Mark Fishel, Ngoc-Quang Luong, Martin Volk

    Student Research Workshop, ACL-IJCNLP 2015

    Paper
  12. 2014Konvens

    Enforcing Consistent Translation of German Compound Coreferences

    Laura Mascarell, Mark Fishel, Natalia Korchagina, Martin Volk

    Konvens 2014

    Paper
  13. 2013ACL Demos

    tSEARCH: Flexible and Fast Search over Automatic Translations for Improved Quality/Error Analysis

    Meritxell Gonzàlez, Laura Mascarell, Lluís Màrquez

    ACL System Demonstrations 2013

    Paper
Activities