10 citations · 22 across the 6 of their papers we have counts for
7 papers
Handoff Curves: Initial Selection, Later Handoff, and Supervision Targets in Multi-turn LLM Routing
Daniel Matos, Lu Liu, Yanfeng Zhang
We study how initial model selection, later handoff, and training targets affect success and cost in LLM tasks that span multiple turns. We compare several router architectures usi…
RieMind: Geometry-Grounded Spatial Agent for Scene Understanding
Fernando Ropero, Erkin Turkoz, Daniel Matos +6
Visual Language Models (VLMs) have increasingly become the main paradigm for understanding indoor scenes, but they still struggle with metric and spatial reasoning. Current approac…
HierLoc: Hyperbolic Entity Embeddings for Hierarchical Visual Geolocation
Hari Krishna Gadi, Daniel Matos, Hongyi Luo +4
Visual geolocalization, the task of predicting where an image was taken, remains challenging due to global scale, visual ambiguity, and the inherently hierarchical structure of geo…
TurnBack: A Geospatial Route Cognition Benchmark for Large Language Models through Reverse Route
Hongyi Luo, Qing Cheng, Daniel Matos +7
Humans can interpret geospatial information through natural language, while the geospatial cognition capabilities of Large Language Models (LLMs) remain underexplored. Prior resear…
Stochastic entropy production for continuous measurements of an open quantum system
D. Matos, L. Kantorovich, I. J. Ford
We investigate the total stochastic entropy production of a two-level bosonic open quantum system under protocols of time dependent coupling to a harmonic environment. These proces…
Efficient choice of coloured noises in stochastic dynamics of open quantum systems
Daniel Matos, Matthew A Lane, Ian J Ford +1
The Stochastic Liouville-von Neumann (SLN) equation describes the dynamics of an open quantum system reduced density matrix coupled to a non-Markovian harmonic environment. The int…
Exactly Thermalised Quantum Dynamics of the Spin-Boson Model coupled to a Dissipative Environment
M. A. Lane, D. Matos, I. J. Ford +1
We present an application of the Extended Stochastic Liouville-von Neumann equations (ESLN) method introduced earlier [PRB 95, 125124 (2017); PRB 97, 224310 (2018)] which describes…