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cs.CL2026

LLM-Based Persuasion Enables Guardrail Override in Frontier LLMs

Rodrigo Nogueira, Thales Sales Almeida, Giovana Kerche Bonás +7

Frontier assistant LLMs ship with strong guardrails: asked directly to write a persuasive essay denying the Holocaust, denying vaccine safety, defending flat-earth cosmology, argui…

cs.CL2026

Magis-Bench: Evaluating LLMs on Magistrate-Level Legal Tasks

Ramon Pires, Thales Sales Almeida, Celio Larcher Junior +6

Existing benchmarks for legal AI focus primarily on tasks where LLMs must produce legal arguments or documents, yet the capacity to \emph{judge} such arguments -- weighing competin…

cs.CL2026

Prosa: Rubric-Based Evaluation of LLMs on Real User Chats in Brazilian Portuguese

Roseval Malaquias Junior, Giovana Kerche Bonás, Thales Sales Almeida +6

Rankings produced by holistic LLM-as-a-judge scoring are sensitive to the bias of the chosen judge model. We show that switching to binary rubric scoring with multi-judge filtering…

cs.CL2026

Teaching LLMs Brazilian Healthcare: Injecting Knowledge from Official Clinical Guidelines

Hugo Abonizio, Filipe Rocha Lopes, Roberto Lotufo +1

Brazil's Unified Health System (SUS) relies on official clinical guidelines that define diagnostic criteria, treatments, dosages, and monitoring procedures for over 200 million cit…

cs.CL2026

Measuring Opinion Bias and Sycophancy via LLM-based Persuasion

Rodrigo Nogueira, Giovana Kerche Bonás, Thales Sales Almeida +7

Large language models increasingly shape the information people consume: they are embedded in search, consulted for professional advice, deployed as agents, and used as a first sto…

cs.CL2026

MARCA: A Checklist-Based Benchmark for Multilingual Web Search

Thales Sales Almeida, Giovana Kerche Bonás, Ramon Pires +6

Large language models (LLMs) are increasingly used as sources of information, yet their reliability depends on the ability to search the web, select relevant evidence, and synthesi…