5 papers
Efficient Embedding-based Synthetic Data Generation for Complex Reasoning Tasks
Srideepika Jayaraman, Achille Fokoue, Dhaval Patel +1
Synthetic Data Generation (SDG), leveraging Large Language Models (LLMs), has recently been recognized and broadly adopted as an effective approach to improve the performance of sm…
SPIRAL: Symbolic LLM Planning via Grounded and Reflective Search
Yifan Zhang, Giridhar Ganapavarapu, Srideepika Jayaraman +3
Large Language Models (LLMs) often falter at complex planning tasks that require exploration and self-correction, as their linear reasoning process struggles to recover from early…
Declarative Techniques for NL Queries over Heterogeneous Data
Elham Khabiri, Jeffrey O. Kephart, Fenno F. Heath +6
In many industrial settings, users wish to ask questions in natural language, the answers to which require assembling information from diverse structured data sources. With the adv…
LLM Assisted Anomaly Detection Service for Site Reliability Engineers: Enhancing Cloud Infrastructure Resilience
Nimesh Jha, Shuxin Lin, Srideepika Jayaraman +3
This paper introduces a scalable Anomaly Detection Service with a generalizable API tailored for industrial time-series data, designed to assist Site Reliability Engineers (SREs) i…
A System and Benchmark for LLM-based Q&A on Heterogeneous Data
Achille Fokoue, Srideepika Jayaraman, Elham Khabiri +8
In many industrial settings, users wish to ask questions whose answers may be found in structured data sources such as a spreadsheets, databases, APIs, or combinations thereof. Oft…