7 papers
Analysis of Memory-Runtime Trade-offs in Caching Strategies for Genetic Programming Symbolic Regression
Jiaming Shi, Kei Sen Fong, Mehul Motani
Genetic Programming Symbolic Regression (GPSR) generates mathematical expressions to model input-output relationships using an evolutionary process. A significant challenge in GPSR…
On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models
Chee Heng Tan, Zhuoyi Lin, Mehul Motani +1
In this paper, we consider the setting where large language models (LLMs) are trained using reinforcement learning (RL) to simultaneously improve reasoning accuracy and verbalize i…
Age of Information under Source-Aware Truncated ARQ in Multi-Source Wireless Status Updating
Tianci Zhang, Aobo Liu, Zhengchuan Chen +4
This paper studies information timeliness in multi-source wireless Internet of Things (IoT) status updating systems under a truncated Automatic Repeat reQuest (ARQ) protocol. We pr…
Teaching the Teacher: The Role of Teacher-Student Smoothness Alignment in Genetic Programming-based Symbolic Distillation
Soumyadeep Dhar, Kei Sen Fong, Mehul Motani
Obtaining human-readable symbolic formulas via genetic programming-based symbolic distillation of a deep neural network trained on the target dataset presents a promising yet under…
Tab-PET: Graph-Based Positional Encodings for Tabular Transformers
Yunze Leng, Rohan Ghosh, Mehul Motani
Supervised learning with tabular data presents unique challenges, including low data sizes, the absence of structural cues, and heterogeneous features spanning both categorical and…
Absorbing Markov Chain-Based Analysis of Age of Information in Discrete-Time Dual-Queue Systems
Yifan Feng, Nail Akar, Zhengchuan Chen +1
Status update systems require the timely collection of sensing information for which deploying multiple sensors/servers to obtain diversity gains is considered as a promising solut…