1 citations · 2 across the 8 of their papers we have counts for
8 papers
Mitigating LLM sycophancy with RL-based fine-tuning: Bayesian Truth Serum approach
Serhii Mytsyk, Yiming Zhang, Vikram Krishnamurthy
Large language models (LLMs) frequently exhibit \emph{sycophancy}: they adapt their answers to a user's stated beliefs or preferences instead of reporting what they hold to be true…
Emergence of Preferential Attachment and Glass-Ceiling Effects in Autonomous Networks of LLMs
Yiming Zhang, Vikram Krishnamurthy
We investigate the emergence of structural disparities in networks of collaborating large language model (LLM) agents. When LLM agents autonomously choose collaborators, the result…
MedBuild AI: An Agent-Based Hybrid Intelligence Framework for Reshaping Agency in Healthcare Infrastructure Planning through Generative Design for Medical Architecture
Yiming Zhang, Yuejia Xu, Ziyao Wang +2
Globally, disparities in healthcare infrastructure remain stark, leaving countless communities without access to even basic services. Traditional infrastructure planning is often s…
Collaborative QA using Interacting LLMs. Impact of Network Structure, Node Capability and Distributed Data
Adit Jain, Vikram Krishnamurthy, Yiming Zhang
In this paper, we model and analyze how a network of interacting LLMs performs collaborative question-answering (CQA) in order to estimate a ground truth given a distributed set of…
Inferring Group Intent as a Cooperative Game. An NLP-based Framework for Trajectory Analysis
Yiming Zhang, Vikram Krishnamurthy, Shashwat Jain
This paper studies group target trajectory intent as the outcome of a cooperative game where the complex-spatio trajectories are modeled using an NLP-based generative model. In our…
Jointly Reinforcing Diversity and Quality in Language Model Generations
Tianjian Li, Yiming Zhang, Ping Yu +5
Post-training of Large Language Models (LMs) often prioritizes accuracy and helpfulness at the expense of diversity. This creates a tension: while post-training improves response q…
TrafficKAN-GCN: Graph Convolutional-based Kolmogorov-Arnold Network for Traffic Flow Optimization
Jiayi Zhang, Yiming Zhang, Yuan Zheng +5
Urban traffic optimization is critical for improving transportation efficiency and alleviating congestion, particularly in large-scale dynamic networks. Traditional methods, such a…
Information Diffusion and Preferential Attachment in a Network of Large Language Models
Adit Jain, Vikram Krishnamurthy, Yiming Zhang
This paper models information diffusion in a network of Large Language Models (LLMs) that is designed to answer queries from distributed datasets, where the LLMs can hallucinate th…