3 papers
cs.AI2026
Autoresearch for Marketplace Catalogs: From Legacy Forms to AI-Native Matching
Kartik Ravisankar, Hojat Abdolanezhad, Daniel Capo +3
Two-sided service marketplaces are moving from deterministic request-form intake to AI-native probabilistic matching, enabled by large language models (LLMs) that infer intent, pre…
cs.CL2025
Can you map it to English? The Role of Cross-Lingual Alignment in Multilingual Performance of LLMs
Kartik Ravisankar, Hyojung Han, Sarah Wiegreffe +1
Large language models (LLMs) can answer prompts in many languages, despite being trained predominantly on English; yet, the mechanisms driving this generalization remain poorly und…
cs.CL2025
Token-level Ensembling of Models with Different Vocabularies
Rachel Wicks, Kartik Ravisankar, Xinchen Yang +2
Model ensembling is a technique to combine the predicted distributions of two or more models, often leading to improved robustness and performance. For ensembling in text generatio…