2 citations · 2 across the 2 of their papers we have counts for
4 papers · 1 filter
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…
Red Teaming for Large Language Models At Scale: Tackling Hallucinations on Mathematics Tasks
Aleksander Buszydlik, Karol Dobiczek, Michał Teodor Okoń +3
We consider the problem of red teaming LLMs on elementary calculations and algebraic tasks to evaluate how various prompting techniques affect the quality of outputs. We present a…