3 papers
cs.LG2026
Latent Cache Flow: Model-to-Model Communication Without Text
Maximillian Rossi, Prajwal Raghunath, Eugene Wu
LLM agents today communicate via text, which incurs considerable latency and information loss due to the need to autoregressively decode the sharer model's state and encode at the…
cs.HC2025
Steering Semantic Data Processing With DocWrangler
Shreya Shankar, Bhavya Chopra, Mawil Hasan +5
Unstructured text has long been difficult to automatically analyze at scale. Large language models (LLMs) now offer a way forward by enabling {\em semantic data processing}, where…
cs.DB2025
DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing
Shreya Shankar, Tristan Chambers, Tarak Shah +2
Analyzing unstructured data has been a persistent challenge in data processing. Large Language Models (LLMs) have shown promise in this regard, leading to recent proposals for decl…