5 papers
Style over Substance: Distilled Language Models Reason Via Stylistic Replication
Philip Lippmann, Jie Yang
Specialized reasoning language models (RLMs) have demonstrated that scaling test-time computation through detailed reasoning traces significantly enhances performance. Although the…
Zero-Shot Contextual Embeddings via Offline Synthetic Corpus Generation
Philip Lippmann, Jie Yang
Context-aware embedding methods boost retrieval accuracy by conditioning on corpus statistics (e.g., term co-occurrence and topical patterns) extracted from neighboring documents.…
Context-Informed Machine Translation of Manga using Multimodal Large Language Models
Philip Lippmann, Konrad Skublicki, Joshua Tanner +2
Due to the significant time and effort required for handcrafting translations, most manga never leave the domestic Japanese market. Automatic manga translation is a promising poten…
Positive Experience Reflection for Agents in Interactive Text Environments
Philip Lippmann, Matthijs T. J. Spaan, Jie Yang
Intelligent agents designed for interactive environments face significant challenges in text-based games, a domain that demands complex reasoning and adaptability. While agents bas…
Illuminating Blind Spots of Language Models with Targeted Agent-in-the-Loop Synthetic Data
Philip Lippmann, Matthijs T. J. Spaan, Jie Yang
Language models (LMs) have achieved impressive accuracy across a variety of tasks but remain vulnerable to high-confidence misclassifications, also referred to as unknown unknowns…