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cs.CL2026

SpreadsheetArena: Decomposing Preference in LLM Generation of Spreadsheet Workbooks

Srivatsa Kundurthy, Clara Na, Michael Handley +5

We consider the task of end-to-end spreadsheet generation, where language models produce spreadsheet artifacts to satisfy users' explicit and implicit constraints, specified in nat…

cs.CL2026

Task Decomposition for Efficient Annotation

Nupoor Gandhi, Emma Strubell

High-quality annotations of structured representations are expensive to collect over large corpora. Manual annotation of structure is laborious, and model-based annotation, althoug…

cs.CL2026

FicSim: A Dataset for Multi-Faceted Semantic Similarity in Long-Form Fiction

Natasha Johnson, Amanda Bertsch, Maria-Emil Deal +1

As language models become capable of processing increasingly long and complex texts, there has been growing interest in their application within computational literary studies. How…

cs.CL2025

Collage: Decomposable Rapid Prototyping for Information Extraction on Scientific PDFs

Sireesh Gururaja, Yueheng Zhang, Guannan Tang +6

Recent years in NLP have seen the continued development of domain-specific information extraction tools for scientific documents, alongside the release of increasingly multimodal p…

cs.CL2025

Stereotype or Personalization? User Identity Biases Chatbot Recommendations

Anjali Kantharuban, Jeremiah Milbauer, Maarten Sap +2

While personalized recommendations are often desired by users, it can be difficult in practice to distinguish cases of bias from cases of personalization: we find that models gener…

cs.CL2025

Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Jared Fernandez, Clara Na, Vashisth Tiwari +3

As large language models (LLMs) scale in size and adoption, their computational and environmental costs continue to rise. Prior benchmarking efforts have primarily focused on laten…