3 papers
cs.CL2026
An LLM-Based System for Argument Mining
Paulo Pirozelli, Victor Hugo Nascimento Rocha, Fabio G. Cozman +1
Arguments are a fundamental aspect of human reasoning, in which claims are supported, challenged, and weighed against one another. We present an end-to-end large language model (LL…
cs.AI2025
Multilinear and Linear Programs for Partially Identifiable Queries in Quasi-Markovian Structural Causal Models
João P. Arroyo, João G. Rodrigues, Daniel Lawand +6
We investigate partially identifiable queries in a class of causal models. We focus on acyclic Structural Causal Models that are quasi-Markovian (that is, each endogenous variable…
stat.ML2025
Probabilities of Causation and Root Cause Analysis with Quasi-Markovian Models
Eduardo Rocha Laurentino, Fabio Gagliardi Cozman, Denis Deratani Maua +3
Probabilities of causation provide principled ways to assess causal relationships but face computational challenges due to partial identifiability and latent confounding. This pape…