In tri-modal hybrid retrieval with GPT-4o reranking, MiniLM-v6 matches or beats BGE-Large on SciFact, FIQA, and NFCorpus despite being far smaller.
Varied phenomenology of models displaying dynamical large-deviation singularities
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
Singularities of dynamical large-deviation functions are often interpreted as the signal of a dynamical phase transition and the coexistence of distinct dynamical phases, by analogy with the correspondence between singularities of free energies and equilibrium phase behavior. Here we study models of driven random walkers on a lattice. These models display large-deviation singularities in the limit of large lattice size, but the extent to which each model's phenomenology resembles a phase transition depends on the details of the driving. We also compare the behavior of ergodic and non-ergodic models that present large-deviation singularities. We argue that dynamical large-deviation singularities indicate the divergence of a model timescale, but not necessarily one associated with cooperative behavior or the existence of distinct phases.
citation-role summary
citation-polarity summary
fields
cs.IR 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Rethinking Hybrid Retrieval: When Small Embeddings and LLM Re-ranking Beat Bigger Models
In tri-modal hybrid retrieval with GPT-4o reranking, MiniLM-v6 matches or beats BGE-Large on SciFact, FIQA, and NFCorpus despite being far smaller.