%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{Burdisso_EACL_2026,
                      author = {Burdisso, Sergio and Baroudi, Severin and Labrak, Yanis and Grunert, David and Cyrta, Pawel and Chen, Yiyang and Madikeri, Srikanth and Villatoro-Tello, Esa{\'{u}} and Marxer, Ricard and Motlicek, Petr},
                    projects = {ELOQUENCE},
  additionalresearchprograms = {AI for Everyone},
                       title = {SDialog: A Python Toolkit for End-to-End Agent Building, User Simulation, Dialog Generation, and Evaluation},
                   booktitle = {EACL},
                        year = {2026},
                    abstract = {We present SDialog, an MIT-licensed open-source Python toolkit for end-to-end development, simulation, evaluation, and analysis of LLM-based conversational agents. Built around a standardized Dialog representation, SDialog unifies persona-driven multi-agent simulation with composable orchestration for controlled synthetic dialog generation; multi-layer evaluation combining linguistic metrics, LLM-as-a-judge assessments, and functional correctness validators; mechanistic interpretability tools for activation inspection and causal behavior steering via feature ablation and induction; and audio rendering with full acoustic simulation, including 3D room modeling and microphone effects. The toolkit integrates with major LLM backends under a consistent API, enabling mixed-backend and reproducible experiments. By bridging agent construction, user simulation, dialog generation, evaluation, and interpretability within a single coherent workflow, SDialog enables more controlled, transparent, and systematic research on conversational systems.},
                         pdf = {https://publications.idiap.ch/attachments/papers/2026/Burdisso_EACL_2026.pdf}
}