COMED: The Missing Middle Between Routing and Collaboration in Multi-LLM Inference

arXiv:2609.26913 · cs.CL, cs.AI · Submitted 2026-09-22 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-22

Updated: 2026-09-22

Terminology

Verifier — 64× in this paper · explained in 2 episodes
Accuracy — 57× in this paper · explained in 1 episode
Consistency — 37× in this paper · explained in 3 episodes
Self-consistency — 37× in this paper · explained in 2 episodes
Verification — 31× in this paper · explained in 2 episodes
Benchmark — 30× in this paper · explained in 2 episodes
Aggregation — 17× in this paper · explained in 1 episode
Ablation — 15× in this paper · explained in 1 episode
Trace — 13× in this paper · explained in 2 episodes
Large Language Model — 12× in this paper
AUC — 8× in this paper · explained in 2 episodes
Test-time Scaling — 4× in this paper · explained in 2 episodes
Robustness — 3× in this paper · explained in 5 episodes
Pruning — 2× in this paper · explained in 4 episodes
Benchmarking — 1× in this paper · explained in 3 episodes
Calibration — 1× in this paper · explained in 7 episodes
Embeddings — 1× in this paper · explained in 2 episodes
Failure Modes — 1× in this paper · explained in 3 episodes
Hallucination — 1× in this paper · explained in 3 episodes
Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
Reasoning Traces — 1× in this paper · explained in 3 episodes
Transformer — 1× in this paper · explained in 2 episodes

Sources

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