8 citations · 29 across the 14 of their papers we have counts for
22 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…
Few-shot Policy (de)composition in Conversational Question Answering
Kyle Erwin, Guy Axelrod, Maria Chang +8
The task of policy compliance detection (PCD) is to determine if a scenario is in compliance with respect to a set of written policies. In a conversational setting, the results of…
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…
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description
Ruixuan Yan, Tengfei Ma, Achille Fokoue +2
Most existing Time series classification (TSC) models lack interpretability and are difficult to inspect. Interpretable machine learning models can aid in discovering patterns in d…