3 papers
cs.CL2026
Lexical Consensus: Grounded Word Learning and Shared Meaning in Artificial Agents
Patricio M. Vera
Artificial intelligence systems are commonly evaluated through task performance and behavioral imitation, but such evaluations leave open whether an artificial agent can acquire, s…
cs.CL2026
Intention Collapse: Intention-Level Metrics for Reasoning in Language Models
Patricio Vera
Language generation maps a rich, high-dimensional internal state to a single token sequence. We study this many-to-one mapping through the lens of intention collapse: the projectio…
cs.CL2023
Rethinking the Evaluating Framework for Natural Language Understanding in AI Systems: Language Acquisition as a Core for Future Metrics
Patricio Vera, Pedro Moya, Lisa Barraza
In the burgeoning field of artificial intelligence (AI), the unprecedented progress of large language models (LLMs) in natural language processing (NLP) offers an opportunity to re…