activity
20212026
most citedRobust Graph Neural Networks via Probabilistic Lipschitz Constraints

6 citations · 6 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2026

The belief-action gap in language model agents

Ayse Sila Okcu, Weisheng Wang, Tongmeng Xie +4

Language model (LM) agents can fail for different reasons, requiring different explanations and interventions. We study how state beliefs, action values, and action preferences int…

cs.CV2026

Tetris3D: 3D Scene Generation With Objects That Fit Together

Jaeyeong Kim, Jinhyuk Jang, Jongmin Lee +2

We propose Tetris3D, a generative framework for single-image 3D scene reconstruction that recovers objects which are physically and geometrically coherent as a scene. Existing meth…

cs.LG2026

A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents

Raghu Arghal, Fade Chen, Niall Dalton +6

Understanding an agent's goals helps explain and predict its behaviour, yet there is no established methodology for reliably attributing goals to agentic systems. We propose a fram…

eess.SY2025

Steering the Herd: A Framework for LLM-based Control of Social Learning

Raghu Arghal, Kevin He, Shirin Saeedi Bidokhti +1

Algorithms increasingly serve as information mediators--from social media feeds and targeted advertising to the increasing ubiquity of LLMs. This engenders a joint process where ag…

cs.LG2021★ 6 cited

Robust Graph Neural Networks via Probabilistic Lipschitz Constraints

Raghu Arghal, Eric Lei, Shirin Saeedi Bidokhti

Graph neural networks (GNNs) have recently been demonstrated to perform well on a variety of network-based tasks such as decentralized control and resource allocation, and provide…