| Challenge: | linguistic factors such as vocabulary diversity, distinctiveness, emotion, and syntax are highly predictive of engagement in podcasts, but little research has been done into how they contribute to overall listener engagement. |
| Approach: | They build models with different textual representations to test popular wisdom about stylistic elements in high-engagement podcasts, corroborating some pieces of advice and adding new perspectives on others. |
| Outcome: | The proposed models show that stylistic features are highly predictive of engagement for podcasts with low absolute streams than for the most popular podcasts. |
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| Challenge: | Cross-lingual alignment is the meaningful similarity of representations across languages in multilingual language models. |
| Approach: | They propose a taxonomy of methods to improve cross-lingual alignment . they argue that an effective trade-off between language-neutral and language-specific information is key . |
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Style Vectors for Steering Generative Large Language Models (2024.findings-eacl)
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Kai Konen, Sophie Jentzsch, Diaoulé Diallo, Peer Schütt, Oliver Bensch, Roxanne El Baff, Dominik Opitz, Tobias Hecking
| Challenge: | Large language models (LLMs) can be trained on vast corpora and can generate text in a nuanced and parameterisable way. |
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Aligning Language Models to User Opinions (2023.findings-emnlp)
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| Challenge: | Personality is a defining feature of human beings, shaped by a complex interplay of demographic characteristics, moral principles, and social experiences. |
| Approach: | They use public opinion surveys to model past user opinions in addition to user demographics and ideology to achieve up to 7 points accuracy gains in predicting public opinions from survey questions. |
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The importance of fillers for text representations of speech transcripts (2020.emnlp-main)
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| Challenge: | Fillers are a type of disfluency that can be a sound ("um" or "uh") filling a pause in an utterance or conversation. |
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Leveraging Similar Users for Personalized Language Modeling with Limited Data (2022.acl-long)
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| Challenge: | Recent work suggests that personalized models are more accurate for individual users than one-size-fits-all solutions. |
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IntrEx: A Dataset for Modeling Engagement in Educational Conversations (2025.findings-emnlp)
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| Challenge: | IntrEx is the first large dataset annotated for interestingness and expected interestingness in teacher-student interactions. |
| Approach: | They propose a large dataset annotated for interestingness and expected interestingness in teacher-student interactions. |
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Embedding Style Beyond Topics: Analyzing Dispersion Effects Across Different Language Models (2025.coling-main)
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| Challenge: | Using a literary corpus that alternates between topics and styles, we compare language models across French and English. |
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Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 5: Tutorial Abstracts) (2025.acl-tutorials)
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| Challenge: | ACL 2025 tutorial sessions are a cornerstone event of the conference . 76 tutorial submissions were received this year, many of which were very engaging . |
| Approach: | 76 tutorial submissions were received this year for the tutorial session at ACL 2025 . the tutorials are designed to equip you with the latest insights, tools, and methodologies . |
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Predicting Reference: What do Language Models Learn about Discourse Models? (2020.emnlp-main)
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| Challenge: | a growing literature that probes neural language models to assess their latent acquisition of grammatical knowledge has not investigated their acquisition of discourse modeling ability. |
| Approach: | They draw on a psycholinguistic literature that has established how different contexts affect referential biases concerning who is likely to be referred to next. |
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Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 5: Tutorial Abstracts) (2024.acl-tutorials)
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| Challenge: | ACL tutorial session is a highlight of the conference . it aims to provide attendees with a thorough introduction to key topics in our fast-evolving research field . |
| Approach: | the ACL tutorial session is a highlight of the conference . it aims to provide attendees with a thorough introduction to key topics in the field . |
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