5 papers
Odysseys: Benchmarking Web Agents on Realistic Long Horizon Tasks
Lawrence Keunho Jang, Jing Yu Koh, Daniel Fried +1
Existing web agent benchmarks have largely converged on short, single-site tasks that frontier models are approaching saturation on. However, real world web use consists of long-ho…
Agent psychometrics: Task-level performance prediction in agentic coding benchmarks
Chris Ge, Daria Kryvosheieva, Daniel Fried +2
As the focus in LLM-based coding shifts from static single-step code generation to multi-step agentic interaction with tools and environments, understanding which tasks will challe…
Generative Value Conflicts Reveal LLM Priorities
Andy Liu, Kshitish Ghate, Mona Diab +3
Past work seeks to align large language model (LLM)-based assistants with a target set of values, but such assistants are frequently forced to make tradeoffs between values when de…
Measuring Fine-Grained Negotiation Tactics of Humans and LLMs in Diplomacy
Wenkai Li, Lynnette Hui Xian Ng, Andy Liu +1
The study of negotiation styles dates back to Aristotle's ethos-pathos-logos rhetoric. Prior efforts primarily studied the success of negotiation agents. Here, we shift the focus t…
Dynamic Coalition Structure Detection in Natural Language-based Interactions
Abhishek N. Kulkarni, Andy Liu, Jean-Raphael Gaglione +2
In strategic multi-agent sequential interactions, detecting dynamic coalition structures is crucial for understanding how self-interested agents coordinate to influence outcomes. H…