3 papers
cs.CV2026
Where Do Images Come From? Analyzing Captions to Geographically Profile Datasets
Abhipsa Basu, Yugam Bahl, Kirti Bhagat +3
Recent studies show that text-to-image models often fail to generate geographically representative images, raising concerns about the representativeness of their training data and…
cs.HC2026
Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations
Preethi Seshadri, Samuel Cahyawijaya, Ayomide Odumakinde +2
Agentic benchmarks increasingly rely on LLM-simulated users to scalably evaluate agent performance, yet the robustness, validity, and fairness of this approach remain unexamined. T…
cs.CL2025
Command A: An Enterprise-Ready Large Language Model
Team Cohere, :, Aakanksha +227
In this report we describe the development of Command A, a powerful large language model purpose-built to excel at real-world enterprise use cases. Command A is an agent-optimised…