12 citations · 15 across the 6 of their papers we have counts for
6 papers
Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution
Ning Liu, P Aditya Sreekar, Kalle Kujanpää +11
Warehouse operations are governed by Standard Operating Procedures (SOPs) that encode complex, multi-system decision logic, which must be executed reliably under strict time constr…
Beyond Pairs: Your Language Model is Secretly Optimizing a Preference Graph
Ning Liu, Chuanneng Sun, Kristina Klinkner +1
Direct Preference Optimization (DPO) aligns language models using pairwise preference comparisons, offering a simple and effective alternative to Reinforcement Learning (RL) from h…
Retrieval-Augmented Hierarchical in-Context Reinforcement Learning and Hindsight Modular Reflections for Task Planning with LLMs
Chuanneng Sun, Songjun Huang, Dario Pompili
Large Language Models (LLMs) have demonstrated remarkable abilities in various language tasks, making them promising candidates for decision-making in robotics. Inspired by Hierarc…
LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions
Chuanneng Sun, Songjun Huang, Dario Pompili
In recent years, Large Language Models (LLMs) have shown great abilities in various tasks, including question answering, arithmetic problem solving, and poem writing, among others.…
Cascade Reinforcement Learning with State Space Factorization for O-RAN-based Traffic Steering
Chuanneng Sun, Gueyoung Jung, Tuyen Xuan Tran +1
The Open Radio Access Network (O-RAN) architecture empowers intelligent and automated optimization of the RAN through applications deployed on the RAN Intelligent Controller (RIC)…
Contextual Biasing of Named-Entities with Large Language Models
Chuanneng Sun, Zeeshan Ahmed, Yingyi Ma +4
This paper studies contextual biasing with Large Language Models (LLMs), where during second-pass rescoring additional contextual information is provided to a LLM to boost Automati…