Findings of EMNLP 2026

LLMs Can Predict Failure Risk,
But Struggle to Predict Which
Collaboration Protocol Pays Off

Cost-Aware Protocol Routing Across Reasoning Tasks

Chih-Hsuan Yang1, Jingyan Jiang1, Cheng-Hau Yang1, Vikram Vasudevan2, Huihuo Zheng1, Venkatram Vishwanath1, Rajeev Thakur1

1 Argonne National Laboratory2 Oregon State University

Left: fixed-order oracle protocol shares across difficulty tiers. Right: solve-rate gain versus additional token cost, relative to Tier-majority. The self-confidence gate lies on the low-cost frontier; higher-solve frozen routers use substantially more tokens. View full-size figure ↗
Collaboration can improve coverage. Choosing when—and how—to use it remains difficult.The oracle is a retrospective reference. In the cost–solve plot, upper-left is better.

When is collaboration worth its cost?

We run every problem under four protocols—direct solving, self-correction, planner–executor–reviewer, and multi-agent deliberation—while holding the solver fixed within each setting. In our experiments, confidence helps identify likely failures, but choosing the collaboration protocol that will pay off remains harder. Conservative routers miss useful collaboration; higher-solve frozen routers often spend too many tokens.

Chih-Hsuan Yang et al. Findings of EMNLP 2026.
doi:10.18653/2026.findings-emnlp.1275

BibTeX
@inproceedings{yang-etal-2026-llms-predict,
    title = "{LLM}s Can Predict Failure Risk, But Struggle to Predict Which Collaboration Protocol Pays Off: Cost-Aware Protocol Routing Across Reasoning Tasks",
    author = "Yang, Chih-Hsuan  and
      Jiang, Jingyan  and
      Yang, Cheng-Hau  and
      Vasudevan, Vikram  and
      Zheng, Huihuo  and
      Vishwanath, Venkatram  and
      Thakur, Rajeev",
    editor = "Lee, Hung-Yi  and
      Dev, Sunipa  and
      Li, Jessy  and
      Elliott, Desmond",
    booktitle = "Findings of the {A}ssociation for {C}omputational {L}inguistics: {EMNLP} 2026",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.findings-emnlp.1275/",
    doi = "10.18653/2026.findings-emnlp.1275",
    pages = "26995--27016",
    ISBN = "979-8-89176-462-0"
}