100 citations · 169 across the 7 of their papers we have counts for
9 papers
SynAct: Synergistic Active Feedback Learning for LLM Agents
Ning Liu, Ian Li, Kristina Klinkner
LLM agents executing multi-step workflows fail in two fundamentally different ways: recoverable slips, which further attempts can repair, and knowledge gaps, which retrying cannot…
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…
Tool-Making and Self-Evolving LLM Agents in Low-Latency Systems
Kalle Kujanpää, Ning Liu, Shahnawaz Alam +4
Production LLM agents often waste latency and reliability by regenerating code for the same procedural steps on every request. We replace this inference-time coding loop with an ag…
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…
Learning to Staff: Offline Reinforcement Learning and Fine-Tuned LLMs for Warehouse Staffing Optimization
Kalle Kujanpää, Yuying Zhu, Kristina Klinkner +1
We investigate machine learning approaches for optimizing real-time staffing decisions in semi-automated warehouse sortation systems. Operational decision-making can be supported a…
The Computational Structure of Spike Trains
Robert Haslinger, Kristina Lisa Klinkner, Cosma Rohilla Shalizi
Neurons perform computations, and convey the results of those computations through the statistical structure of their output spike trains. Here we present a practical method, groun…
Discovering Functional Communities in Dynamical Networks
Cosma Rohilla Shalizi, Marcelo F. Camperi, Kristina Lisa Klinkner
Many networks are important because they are substrates for dynamical systems, and their pattern of functional connectivity can itself be dynamic -- they can functionally reorganiz…
Measuring Shared Information and Coordinated Activity in Neuronal Networks
Kristina Lisa Klinkner, Cosma Rohilla Shalizi, Marcelo F. Camperi
Most nervous systems encode information about stimuli in the responding activity of large neuronal networks. This activity often manifests itself as dynamically coordinated sequenc…
Automatic Filters for the Detection of Coherent Structure in Spatiotemporal Systems
Cosma Rohilla Shalizi, Robert Haslinger, Jean-Baptiste Rouquier +2
Most current methods for identifying coherent structures in spatially-extended systems rely on prior information about the form which those structures take. Here we present two new…