22 citations · 52 across the 6 of their papers we have counts for
6 papers
LEDGER: A Long-Context Benchmark of Corporate Annual Reports for Grounded Financial Retrieval and Extraction
Charles Moslonka, Amaury de Vitry, Arthur Garnier +2
Finance reporting is a natural proving ground for large language models, and the very-long-context capabilities of recent models across all sizes make rigorous evaluation in this d…
Learned Hallucination Detection in Black-Box LLMs using Token-level Entropy Production Rate
Charles Moslonka, Hicham Randrianarivo, Arthur Garnier +1
Hallucinations in Large Language Model (LLM) outputs for Question Answering (QA) tasks can critically undermine their real-world reliability. This paper introduces a methodology fo…
Methods and Conversations in (Post)Modern Thermodynamics
Francesco Avanzini, Massimo Bilancioni, Vasco Cavina +19
Lecture notes after the doctoral school (Post)Modern Thermodynamics held at the University of Luxembourg, December 2022, 5-7, covering and advancing continuous-time Markov chains,…
Interplay between Markovianity and Progressive Quenching
Charles Moslonka, Ken Sekimoto
Progressive quenching (PQ) is a process in which we sequentially fix a system's degrees of freedom, which would otherwise evolve according to their stochastic dynamics. Previous st…
Martingale-induced local invariance in Progressive Quenching
Charles Moslonka, Ken Sekimoto
Progressive quenching (PQ) is a stochastic process during which one fixes, one after another, the degrees of freedom of a globally coupled Ising spin system while letting it therma…
Memory Through a Hidden Martingale Process in Progressive Quenching
Charles Moslonka, Ken Sekimoto
Progressive quenching (PQ) is the stochastic process in which the system's degrees of freedom are sequentially fixed. While such process does not satisfy the local detailed balance…