Probing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case. - Adam Dahlgren Lindström; Johanna Björklund; Suna Bensch; Frank Drewes (COLING, 2020)

Bridging Perception, Memory, and Inference through Semantic Relations. - Johanna Björklund; Adam Dahlgren Lindström; Frank Drewes (EMNLP (1), 2021)

CLEVR-Math: A Dataset for Compositional Language, Visual and Mathematical Reasoning. - Adam Dahlgren Lindström; Savitha Sam Abraham (NeSy, 2022)

An Algebraic Approach to Learning and Grounding. - Johanna Björklund; Adam Dahlgren Lindström; Frank Drewes (CoRR, 2022)

ACROCPoLis: A Descriptive Framework for Making Sense of Fairness. - Andrea Aler Tubella; Dimitri Coelho Mollo; Adam Dahlgren Lindström; Hannah Devinney; Virginia Dignum; Petter Ericson; Anna Jonsson 001; Timotheus Kampik; Tom Lenaerts; Julian Alfredo Mendez; Juan Carlos Nieves (FAccT, 2023)

The Impact of Mixed-Initiative on Collaboration in Hybrid AI. - Leila Methnani; Adam Dahlgren Lindström; Virginia Dignum (HHAI, 2024)

AI Alignment through Reinforcement Learning from Human Feedback? Contradictions and Limitations. - Adam Dahlgren Lindström; Leila Methnani; Lea Krause; Petter Ericson; Íñigo Martinez de Rituerto de Troya; Dimitri Coelho Mollo; Roel Dobbe (CoRR, 2024)

Helpful, harmless, honest? Sociotechnical limits of AI alignment and safety through Reinforcement Learning from Human Feedback. - Adam Dahlgren Lindström; Leila Methnani; Lea Krause; Petter Ericson; Íñigo Martinez de Rituerto de Troya; Dimitri Coelho Mollo; Roel Dobbe (Ethics Inf. Technol., 2025)

Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It. - Yulu Qin; Dheeraj Varghese; Adam Dahlgren Lindström; Lucia Donatelli; Kanishka Misra; Najoung Kim (CoRR, 2025)