When RAG Fails to Equalize: Geo-bias in Factual Question Answering over Public Companies

arXiv:2608.25717 · cs.CL, cs.AI · Submitted 2026-08-26 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-08-26

Updated: 2026-08-26

Terminology

Accuracy — 106× in this paper · explained in 1 episode
Benchmark — 19× in this paper · explained in 2 episodes
Robustness — 14× in this paper · explained in 5 episodes
RAG — 8× in this paper · explained in 3 episodes
Consistency — 3× in this paper · explained in 3 episodes
Empirical Methods in Natural Language Processing — 3× in this paper
Adam — 2× in this paper · explained in 2 episodes
Core — 2× in this paper · explained in 2 episodes
Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
Retrieval-Augmented Generation (RAG) — 2× in this paper · explained in 16 episodes
Accountability — 1× in this paper · explained in 2 episodes
Calibration — 1× in this paper · explained in 7 episodes
Cosine Similarity — 1× in this paper · explained in 3 episodes
Generative Model — 1× in this paper · explained in 2 episodes
Generative Models — 1× in this paper · explained in 2 episodes
Global Industry Classification Standard — 1× in this paper
Hallucination — 1× in this paper · explained in 3 episodes
Multi-hop Reasoning — 1× in this paper · explained in 3 episodes
Provenance — 1× in this paper · explained in 4 episodes
Sparsity — 1× in this paper · explained in 4 episodes
Verification — 1× in this paper · explained in 2 episodes