@inproceedings{p-jagadeeshan-2026-ihlc,
title = "{IHLC}@{LT}-{EDI} 2026: Steering Toward Inclusivity - A Representation Engineering for Gender-Neutral Rewriting",
author = "P, Akhil Rajeev and
Jagadeeshan, Manoj Balaji",
editor = "Chakravarthi, Bharathi Raja and
B, Bharathi and
Buitelaar, Paul and
Thenmozhi, Durairaj and
Garc{\'i}a Cumbreras, Miguel {\'A}ngel and
Jim{\'e}nez Zafra, Salud Mar{\'i}a",
booktitle = "Proceedings of the Sixth Workshop on Language Technology for Equality, Diversity, Inclusion",
month = jul,
year = "2026",
address = "Virtual (Online)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.ltedi-1.19/",
pages = "177--181",
ISBN = "979-8-89176-424-8",
abstract = "We describe the IHLC team{'}s submissionto the LT-EDI ACL 2026 Shared Task onGender-Inclusive Language Generation andCounterfactual/Counter Narrative Generation.Our English-only system applies an activationsteeringapproach combined with carefullyengineered prompt templates to producegender-neutral rewrites and empathetic counternarratives.We summarize system design, experimentalsetup, evaluation protocol used bythe shared task, and report results for both subtasks(Task A: Gender Inclusive Language Generation{--} Average = 80.00{\%}, Rank 3; TaskB: Counter Narrative Generation {--} Average =78.12{\%}, Rank 6). We also analyze strengthsand failure modes observed in automatic andhuman-checked evaluations and highlight directionsfor improvement."
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<abstract>We describe the IHLC team’s submissionto the LT-EDI ACL 2026 Shared Task onGender-Inclusive Language Generation andCounterfactual/Counter Narrative Generation.Our English-only system applies an activationsteeringapproach combined with carefullyengineered prompt templates to producegender-neutral rewrites and empathetic counternarratives.We summarize system design, experimentalsetup, evaluation protocol used bythe shared task, and report results for both subtasks(Task A: Gender Inclusive Language Generation– Average = 80.00%, Rank 3; TaskB: Counter Narrative Generation – Average =78.12%, Rank 6). We also analyze strengthsand failure modes observed in automatic andhuman-checked evaluations and highlight directionsfor improvement.</abstract>
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%0 Conference Proceedings
%T IHLC@LT-EDI 2026: Steering Toward Inclusivity - A Representation Engineering for Gender-Neutral Rewriting
%A P, Akhil Rajeev
%A Jagadeeshan, Manoj Balaji
%Y Chakravarthi, Bharathi Raja
%Y B, Bharathi
%Y Buitelaar, Paul
%Y Thenmozhi, Durairaj
%Y García Cumbreras, Miguel Ángel
%Y Jiménez Zafra, Salud María
%S Proceedings of the Sixth Workshop on Language Technology for Equality, Diversity, Inclusion
%D 2026
%8 July
%I Association for Computational Linguistics
%C Virtual (Online)
%@ 979-8-89176-424-8
%F p-jagadeeshan-2026-ihlc
%X We describe the IHLC team’s submissionto the LT-EDI ACL 2026 Shared Task onGender-Inclusive Language Generation andCounterfactual/Counter Narrative Generation.Our English-only system applies an activationsteeringapproach combined with carefullyengineered prompt templates to producegender-neutral rewrites and empathetic counternarratives.We summarize system design, experimentalsetup, evaluation protocol used bythe shared task, and report results for both subtasks(Task A: Gender Inclusive Language Generation– Average = 80.00%, Rank 3; TaskB: Counter Narrative Generation – Average =78.12%, Rank 6). We also analyze strengthsand failure modes observed in automatic andhuman-checked evaluations and highlight directionsfor improvement.
%U https://aclanthology.org/2026.ltedi-1.19/
%P 177-181
Markdown (Informal)
[IHLC@LT-EDI 2026: Steering Toward Inclusivity - A Representation Engineering for Gender-Neutral Rewriting](https://aclanthology.org/2026.ltedi-1.19/) (P & Jagadeeshan, LTEDI 2026)
ACL