30 citations · 233 across the 58 of their papers we have counts for
5 papers · 1 filter
LOGicalThought: Logic-Based Ontological Grounding of LLMs for High-Assurance Reasoning
Navapat Nananukul, Yue Zhang, Ryan Lee +5
High-assurance reasoning, particularly in critical domains such as law and medicine, requires conclusions that are accurate, verifiable, and explicitly grounded in evidence. This r…
Generating Novelty in Open-World Multi-Agent Strategic Board Games
Mayank Kejriwal, Shilpa Thomas
We describe GNOME (Generating Novelty in Open-world Multi-agent Environments), an experimental platform that is designed to test the effectiveness of multi-agent AI systems when fa…
Modeling Inequality in Complex Networks of Strategic Agents using Iterative Game-Theoretic Transactions
Mayank Kejriwal, Yuesheng Luo
Transactions are an important aspect of human social life, and represent dynamic flow of information, intangible values, such as trust, as well as monetary and social capital. Alth…
Code-Driven Planning in Grid Worlds with Large Language Models
Ashwath Vaithinathan Aravindan, Zhisheng Tang, Mayank Kejriwal
We propose an iterative programmatic planning (IPP) framework for solving grid-based tasks by synthesizing interpretable agent policies expressed in code using large language model…
Navigating Semantic Relations: Challenges for Language Models in Abstract Common-Sense Reasoning
Cole Gawin, Yidan Sun, Mayank Kejriwal
Large language models (LLMs) have achieved remarkable performance in generating human-like text and solving reasoning tasks of moderate complexity, such as question-answering and m…