2 papers
cs.AI2026
ARGORA: Orchestrated Argumentation for Causally Grounded LLM Reasoning and Decision Making
Youngjin Jin, Hanna Kim, Kwanwoo Kim +2
Existing multi-expert LLM systems gather diverse perspectives but combine them through simple aggregation, obscuring which arguments drove the final decision. We introduce ARGORA,…
cs.CL2025
Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers
Eugene Jang, Kimin Lee, Jin-Woo Chung +2
Tokenization is a crucial step that bridges human-readable text with model-readable discrete tokens. However, recent studies have revealed that tokenizers can be exploited to elici…