6 accepted papers
Theory of Mind (ToM) is a must-acquire skill for modern foundation model systems to operate effectively and safely in the real world. Recent works have explored honing ToM via post-training; however, we show that such progress is confounded by a pervasive “shortcut” issue: tasks can reach up to 99% …
Recent studies on large language models (LLMs) and large multimodal models (LMMs) have demonstrated promising skills in various domains including science and mathematics. However, their capability in more challenging and real-world related scenarios like engineering has not been systematically studi…
Toxic content detection is crucial for online services to remove inappropriate content that violates community standards. To automate the detection process, prior works have proposed varieties of machine learning (ML) approaches to train Language Models (LMs) for toxic content detection. However, bo…
Section III-F in [1] made formal claims about the limiting behavior of the controller (as time and space grow to infinity) whose proof relied on a stochastic network optimization theorem which may not apply. Specifically, we cannot make the claim that the optimal value of $\overline{Y}$ achieved by
Motivated by planetary exploration, we consider the problem of deploying a network of mobile robots to explore an unknown environment and share information with a stationary data sink. The configuration of robots affects both network connectivity and the accuracy of relative localization. Robots exp
To satisfy the increasing demand for additional bandwidth from the wireless sector, regulatory bodies are considering to allow commercial wireless systems to operate on spectrum bands that until recently were reserved exclusively for military radar. Such co-existence would require mechanisms for con…