3 papers
Looped Language Models Improve Compositional Tool Calling
Andrei Cristian Popescu, Haitz Sáez de Ocáriz Borde, Pietro Liò
Looped language models have shown promising results on reasoning benchmarks, yet their potential for agentic tool use remains largely unexplored. We study this question in composit…
Adaptive Depth in Looped Transformers: Diagnosing Learned Halting Gates and Trajectory Readouts
Andrei Cristian Popescu, Haitz Sáez de Ocáriz Borde, Pietro Liò
Looped Transformers increase test-time computation by repeatedly applying a shared recurrent block. Learned halting objectives in looped Transformers typically use a single exit di…
Structured Captions Improve Prompt Adherence in Text-to-Image Models (Re-LAION-Caption 19M)
Nicholas Merchant, Haitz Sáez de Ocáriz Borde, Andrei Cristian Popescu +1
We argue that generative text-to-image models often struggle with prompt adherence due to the noisy and unstructured nature of large-scale datasets like LAION-5B. This forces users…