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20182026
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cs.CL2026

Frontier AI performance across the business disciplines: a case-grounded benchmark of knowledge work and analytical reasoning

Ajay Patel, Kartik Hosanagar, Ramayya Krishnan +2

Large language models (LLMs) are improving rapidly as reflected in benchmark scores, yet these AI benchmarks largely test capabilities such as factual recall, narrow question answe…

cs.CL2026

ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders

Ofer Meshi, Krisztian Balog, Sally Goldman +5

The promise of LLM-based user simulators to improve conversational AI is hindered by a critical "realism gap," leading to systems that are optimized for simulated interactions, but…

cs.CL2026

FineInstructions: Scaling Synthetic Instructions to Pre-Training Scale

Ajay Patel, Colin Raffel, Chris Callison-Burch

Due to limited supervised training data, large language models (LLMs) are typically pre-trained via a self-supervised "predict the next word" objective on a vast amount of unstruct…

cs.CL2025

mStyleDistance: Multilingual Style Embeddings and their Evaluation

Justin Qiu, Jiacheng Zhu, Ajay Patel +2

Style embeddings are useful for stylistic analysis and style transfer; however, only English style embeddings have been made available. We introduce Multilingual StyleDistance (mSt…

cs.CL2024

StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples

Ajay Patel, Jiacheng Zhu, Justin Qiu +4

Style representations aim to embed texts with similar writing styles closely and texts with different styles far apart, regardless of content. However, the contrastive triplets oft…

cs.CL2024

Latent Space Interpretation for Stylistic Analysis and Explainable Authorship Attribution

Milad Alshomary, Narutatsu Ri, Marianna Apidianaki +3

Recent state-of-the-art authorship attribution methods learn authorship representations of texts in a latent, non-interpretable space, hindering their usability in real-world appli…