57 citations · 96 across the 12 of their papers we have counts for
4 papers · 1 filter
Memory Efficient Tabular Foundation Models
Shuting Luo, Monika Mikhail Kanaan, Cameron Gordon +2
Tabular Foundation Models, such as TabPFN, have received a large amount of recent attention due to their performance on in-context tabular machine learning tasks, which often excee…
Beyond Generalist LLMs: Specialist Agentic Systems for Structured Code Workflow Execution
Harris Borman, Herman Wandabwa, Fusun Yu +4
Large Language Models (LLMs) have accelerated the adoption of software development agents, now widely available as Integrated Development Environment (IDE) extensions and standalon…
EmbGen: Teaching with Reassembled Corpora
Arun K Lenin, Kai Rouse, Andrea Nicastro +1
Adapting small instruction-tuned models to specialized domains often relies on supervised fine-tuning (SFT) on curated instruction-response examples, which is expensive to collect…
Prompt Segmentation and Annotation Optimisation: Controlling LLM Behaviour via Optimised Segment-Level Annotations
Devika Prasad, Luke Gerschwitz, Tong Li +5
Prompt engineering is crucial for effective interaction with generative artificial intelligence systems, yet existing optimisation methods often operate over an unstructured and va…