Human Effort and Machine Learnability in Computer Aided Translation. - Spence Green; Sida I. Wang; Jason Chuang; Jeffrey Heer; Sebastian Schuster 001; Christopher D. Manning (EMNLP, 2014)

Speaker-independent detection of child-directed speech. - Sebastian Schuster 001; Stephanie Pancoast; Milind Ganjoo; Michael C. Frank; Dan Jurafsky (SLT, 2014)

Stanford University's Submissions to the WMT 2014 Translation Task. - Julia Neidert; Sebastian Schuster 001; Spence Green; Kenneth Heafield; Christopher D. Manning (WMT@ACL, 2014)

Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval. - Sebastian Schuster 001; Ranjay Krishna; Angel X. Chang; Li Fei-Fei 001; Christopher D. Manning (VL@EMNLP, 2015)

Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks. - Sebastian Schuster 001; Christopher D. Manning (LREC, 2016)

Gapping Constructions in Universal Dependencies v2. - Sebastian Schuster 001; Matthew Lamm; Christopher D. Manning (UDW@NoDaLiDa, 2017)

CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. - Daniel Zeman; Martin Popel; Milan Straka; Jan Hajic 001; Joakim Nivre; Filip Ginter; Juhani Luotolahti; Sampo Pyysalo; Slav Petrov; Martin Potthast; Francis M. Tyers; Elena Badmaeva; et al. (CoNLL Shared Task (2), 2017)

Enhancing Universal Dependency Treebanks: A Case Study. - Joakim Nivre; Paola Marongiu; Filip Ginter; Jenna Kanerva; Simonetta Montemagni; Sebastian Schuster 001; Maria Simi (UDW@EMNLP, 2018)

Sentences with Gapping: Parsing and Reconstructing Elided Predicates. - Sebastian Schuster 001; Joakim Nivre; Christopher D. Manning (NAACL-HLT, 2018)

Speaker-specific adaptation to variable use of uncertainty expressions. - Sebastian Schuster 001; Judith Degen (CogSci, 2019)

Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog. - Sebastian Schuster 001; Sonal Gupta; Rushin Shah; Mike Lewis (NAACL-HLT (1), 2019)

Harnessing the richness of the linguistic signal in predicting pragmatic inferences. - Sebastian Schuster 001; Yuxing Chen; Judith Degen (CoRR, 2019)

Harnessing the linguistic signal to predict scalar inferences. - Sebastian Schuster 001; Yuxing Chen; Judith Degen (ACL, 2020)

Semantic Adaptation in Quantifier Meanings in Preschool Aged Children. - Sophie Regan; Sebastian Schuster 001; Judith Degen; Michael C. Frank (CogSci, 2020)

Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection. - Joakim Nivre; Marie-Catherine de Marneffe; Filip Ginter; Jan Hajic 001; Christopher D. Manning; Sampo Pyysalo; Sebastian Schuster 001; Francis M. Tyers; Daniel Zeman (LREC, 2020)

NOPE: A Corpus of Naturally-Occurring Presuppositions in English. - Alicia Parrish; Sebastian Schuster 001; Alex Warstadt; Omar Agha; Soo-Hwan Lee; Zhuoye Zhao; Samuel R. Bowman; Tal Linzen (CoNLL, 2021)

Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models. - Aaron Mueller; Robert Frank 001; Tal Linzen; Luheng Wang; Sebastian Schuster 001 (ACL (Findings), 2022)

When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it. - Sebastian Schuster 001; Tal Linzen (NAACL-HLT, 2022)

Entity Tracking in Language Models. - Najoung Kim; Sebastian Schuster 001 (ACL (1), 2023)

Working memory updating modulates adaptation to speaker-specific use of uncertainty expressions. - Sebastian Schuster 001; Alexandra Mayn; Vera Demberg (CogSci, 2023)

Expectations over Unspoken Alternatives Predict Pragmatic Inferences. - Jennifer Hu 001; Roger Levy; Judith Degen; Sebastian Schuster 001 (Trans. Assoc. Comput. Linguistics, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta 001; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable Adjectives. - Rashid Nizamani; Sebastian Schuster 001; Vera Demberg (LREC/COLING, 2024)

SpreadNaLa: A Naturalistic Code Generation Evaluation Dataset of Spreadsheet Formulas. - Sebastian Schuster 001; Ayesha Ansar; Om Agarwal; Vera Demberg (LREC/COLING, 2024)

Code Pretraining Improves Entity Tracking Abilities of Language Models. - Najoung Kim; Sebastian Schuster 001; Shubham Toshniwal (CoRR, 2024)

Scope Ambiguities in Large Language Models. - Gaurav Kamath; Sebastian Schuster 001; Sowmya Vajjala; Siva Reddy (Trans. Assoc. Comput. Linguistics, 2024)

Semantic-Pragmatic Adaptation to Variable Use of Temporal Expressions. - Yuxin Cao; Sebastian Schuster 001 (CogSci, 2025)

RExBench: Can coding agents autonomously implement AI research extensions? - Nicholas Edwards; Yukyung Lee; Yujun Mao; Yulu Qin; Sebastian Schuster 001; Najoung Kim (CoRR, 2025)

Humans and LLMs Diverge on Probabilistic Inferences. - Gaurav Kamath; Sreenath Arekunnath Madathil; Sebastian Schuster 001; Marie-Catherine de Marneffe; Siva Reddy (CoRR, 2026)

Diffusion LLMs can think EoS-by-EoS. - Sarah Breckner; Sebastian Schuster 001 (CoRR, 2026)

Ask or Assume? Uncertainty-Aware Clarification-Seeking in Coding Agents. - Nicholas Edwards; Sebastian Schuster 001 (CoRR, 2026)