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<titleInfo><title>Investigating the representation of backchannels and fillers in fine-tuned language models</title></titleInfo>


<note type="publicationStatus">accepted</note>


<note type="qualityControlled">yes</note>

<name type="personal">
  <namePart type="given">Yu</namePart>
  <namePart type="family">Wang</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Leyi</namePart>
  <namePart type="family">Lao</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Langchu</namePart>
  <namePart type="family">Huang</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Gabriel</namePart>
  <namePart type="family">Skantze</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Yang</namePart>
  <namePart type="family">Xu</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Hendrik</namePart>
  <namePart type="family">Buschmeier</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">76456</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0002-9613-5713</description></name>







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  <identifier type="local">660</identifier>
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<name type="conference">
  <namePart>64th Annual Meeting of the Association for Computational Linguistics</namePart>
</name>



<name type="corporate">
  <namePart>TRR 318; TP A02: Verstehensprozess einer Erklärung beobachten und auswerten</namePart>
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<abstract lang="eng">Backchannels and fillers are important linguistic expressions in dialogue, but often treated as ‘noise’ to be bypassed in modern transformer-based language models. Our work studies the representation of them in language models using three fine-tuning strategies. The models are trained on three dialogue corpora in English and Japanese, where backchannels and fillers are preserved and annotated, to investigate how fine-tuning can help LMs learn their representations. We first apply clustering analysis to the learnt representation of backchannels and fillers, and have found increased silhouette scores in representations from fine-tuned models, which suggests that fine-tuning enables LMs to distinguish the nuanced semantic variation in different backchannel and filler use. We also use natural language generation (NLG) metrics and qualitative analysis to confirm that the utterances generated by fine-tuned language models resemble human-produced utterances more closely. Our findings suggest the potentials of transforming general LMs into conversational LMs that are more capable of producing human-like languages adequately.</abstract>

<originInfo><dateIssued encoding="w3cdtf">2026</dateIssued><place><placeTerm type="text">San Diego, CA, USA</placeTerm></place>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<bibliographicCitation>
<ieee>Y. Wang, L. Lao, L. Huang, G. Skantze, Y. Xu, and H. Buschmeier, “Investigating the representation of backchannels and fillers in fine-tuned language models,” presented at the 64th Annual Meeting of the Association for Computational Linguistics, San Diego, CA, USA.</ieee>
<chicago>Wang, Yu, Leyi Lao, Langchu Huang, Gabriel Skantze, Yang Xu, and Hendrik Buschmeier. “Investigating the Representation of Backchannels and Fillers in Fine-Tuned Language Models,” n.d.</chicago>
<ama>Wang Y, Lao L, Huang L, Skantze G, Xu Y, Buschmeier H. Investigating the representation of backchannels and fillers in fine-tuned language models.</ama>
<bibtex>@inproceedings{Wang_Lao_Huang_Skantze_Xu_Buschmeier, title={Investigating the representation of backchannels and fillers in fine-tuned language models}, author={Wang, Yu and Lao, Leyi and Huang, Langchu and Skantze, Gabriel and Xu, Yang and Buschmeier, Hendrik} }</bibtex>
<short>Y. Wang, L. Lao, L. Huang, G. Skantze, Y. Xu, H. Buschmeier, in: n.d.</short>
<mla>Wang, Yu, et al. &lt;i&gt;Investigating the Representation of Backchannels and Fillers in Fine-Tuned Language Models&lt;/i&gt;.</mla>
<apa>Wang, Y., Lao, L., Huang, L., Skantze, G., Xu, Y., &amp;#38; Buschmeier, H. (n.d.). &lt;i&gt;Investigating the representation of backchannels and fillers in fine-tuned language models&lt;/i&gt;. 64th Annual Meeting of the Association for Computational Linguistics, San Diego, CA, USA.</apa>
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