@inproceedings{kundu-2026-shamikkundu,
title = "shamikkundu at the {F}in{E}val 2026: Zero-Parameter Confidence Elicitation for {J}apanese Implicit Communication Recognition",
author = "Kundu, Shamik",
editor = "Huang, Jimin and
Lee, Yongjae and
Ananiadou, Sophia and
Chen, Hsin-Hsi and
Takamura, Hiroya and
Chen, Chung-Chi",
booktitle = "Proceedings of the 11th Workshop on Financial Technology and Natural Language Processing",
month = oct,
year = "2026",
address = "Budapest, Hungary",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.finnlp-1.68/",
pages = "770--777",
ISBN = "979-8-89176-466-8",
abstract = "We describe our submission to FinEval 2026 Subtask 2, Japanese Financial Implicit Com- munication Recognition (JF-ICR): a five-point ordinal classification of company responses in investor Q A, from +2 (strong commitment) to {\ensuremath{-}}2 (strong refusal). Our system fits no parameters: a 14B instruction model, served through OpenRouter, receives the shared task{'}s own annotation guideline verbatim and emits a schema-enforced confidence for each of the five labels; we take the argmax of the normalised distribution. Our submission ranked 5th, at 0.9429 accuracy on the held-out test rows."
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<abstract>We describe our submission to FinEval 2026 Subtask 2, Japanese Financial Implicit Com- munication Recognition (JF-ICR): a five-point ordinal classification of company responses in investor Q A, from +2 (strong commitment) to \ensuremath-2 (strong refusal). Our system fits no parameters: a 14B instruction model, served through OpenRouter, receives the shared task’s own annotation guideline verbatim and emits a schema-enforced confidence for each of the five labels; we take the argmax of the normalised distribution. Our submission ranked 5th, at 0.9429 accuracy on the held-out test rows.</abstract>
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%0 Conference Proceedings
%T shamikkundu at the FinEval 2026: Zero-Parameter Confidence Elicitation for Japanese Implicit Communication Recognition
%A Kundu, Shamik
%Y Huang, Jimin
%Y Lee, Yongjae
%Y Ananiadou, Sophia
%Y Chen, Hsin-Hsi
%Y Takamura, Hiroya
%Y Chen, Chung-Chi
%S Proceedings of the 11th Workshop on Financial Technology and Natural Language Processing
%D 2026
%8 October
%I Association for Computational Linguistics
%C Budapest, Hungary
%@ 979-8-89176-466-8
%F kundu-2026-shamikkundu
%X We describe our submission to FinEval 2026 Subtask 2, Japanese Financial Implicit Com- munication Recognition (JF-ICR): a five-point ordinal classification of company responses in investor Q A, from +2 (strong commitment) to \ensuremath-2 (strong refusal). Our system fits no parameters: a 14B instruction model, served through OpenRouter, receives the shared task’s own annotation guideline verbatim and emits a schema-enforced confidence for each of the five labels; we take the argmax of the normalised distribution. Our submission ranked 5th, at 0.9429 accuracy on the held-out test rows.
%U https://aclanthology.org/2026.finnlp-1.68/
%P 770-777
Markdown (Informal)
[shamikkundu at the FinEval 2026: Zero-Parameter Confidence Elicitation for Japanese Implicit Communication Recognition](https://aclanthology.org/2026.finnlp-1.68/) (Kundu, FinNLP 2026)
ACL