Papers by Barbara Hammer
Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions (2025.findings-emnlp)
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Meghdut Sengupta, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier, Debanjan Ghosh, Henning Wachsmuth
| Challenge: | Metaphorical language is prevalent in everyday communication, often used unconsciously, as in "rising crime" incorporating conceptual metaphors improves performance on downstream tasks that implicitly require correct metaphor interpretation, such as NLI. |
| Approach: | They extend metaphorical texts in an existing NLI dataset by source and target domains and conduct an ablation study using Shapley values and interactions to assess the extent to which LLMs interpret metaphorical language correctly in NLI. |
| Outcome: | The proposed method improves performance on natural language inference tasks with metaphoric input. |
Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection (2025.naacl-long)
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Maximilian Spliethöver, Tim Knebler, Fabian Fumagalli, Maximilian Muschalik, Barbara Hammer, Eyke Hüllermeier, Henning Wachsmuth
| Challenge: | Existing prompting techniques for large language models depend on several parameters, such as the task, language model, and context provided. |
| Approach: | They propose an adaptive prompting approach that predicts the optimal prompt composition ad-hoc for a given input. |
| Outcome: | The proposed approach ensures high detection performance and is best in several settings. |