1 citations · 1 across the 5 of their papers we have counts for
5 papers
Dynamic Context Evolution for Scalable Synthetic Data Generation
Ryan Lingo, Rajeev Chhajer
Large language models produce repetitive output when prompted independently across many batches, a phenomenon we term cross-batch mode collapse: the progressive loss of output dive…
Long-Horizon Traffic Forecasting via Incident-Aware Conformal Spatio-Temporal Transformers
Mayur Patil, Qadeer Ahmed, Shawn Midlam-Mohler +4
Reliable multi-horizon traffic forecasting is challenging because network conditions are stochastic, incident disruptions are intermittent, and effective spatial dependencies vary…
Componentization: Decomposing Monolithic LLM Responses into Manipulable Semantic Units
Ryan Lingo, Rajeev Chhajer, Martin Arroyo +3
Large Language Models (LLMs) often produce monolithic text that is hard to edit in parts, which can slow down collaborative workflows. We present componentization, an approach that…
PlantD: Performance, Latency ANalysis, and Testing for Data Pipelines -- An Open Source Measurement, Testing, and Simulation Framework
Christopher Bogart, Rajeev Chhajer, Baljit Singh +2
As the volume of data available from sensor-enabled devices such as vehicles expands, it is increasingly hard for companies to make informed decisions about the cost of capturing,…
Enhancing LLM Problem Solving with REAP: Reflection, Explicit Problem Deconstruction, and Advanced Prompting
Ryan Lingo, Martin Arroyo, Rajeev Chhajer
Large Language Models (LLMs) have transformed natural language processing, yet improving their problem-solving capabilities, particularly for complex, reasoning-intensive tasks, re…