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154 changes: 154 additions & 0 deletions data/xml/2026.bucc.xml

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<?xml version='1.0' encoding='UTF-8'?>
<collection id="2026.cmcl">
<volume id="1" type="proceedings" ingest-date="2026-07-24">
<meta>
<booktitle>Proceedings of the 15th Workshop on Cognitive Modeling and Computational Linguistics</booktitle>
<editor><first>Byung-Doh</first><last>Oh</last></editor>
<editor><first>Tatsuki</first><last>Kuribayashi</last></editor>
<editor><first>Giulia</first><last>Rambelli</last></editor>
<editor><first>Ece</first><last>Takmaz</last></editor>
<editor><first>Philipp</first><last>Wicke</last></editor>
<editor><first>Jixing</first><last>Li</last></editor>
<editor><first>Ryo</first><last>Yoshida</last></editor>
<publisher>ELRA Language Resources Association (ELRA)</publisher>
<address>Palma, Mallorca (Spain)</address>
<month>May</month>
<year>2026</year>
<url hash="8aba8dc5">2026.cmcl-1</url>
<venue>cmcl</venue>
<venue>ws</venue>
</meta>
<frontmatter>
<url hash="dfa320e5">2026.cmcl-1.0</url>
<bibkey>cmcl-2026-1</bibkey>
</frontmatter>
<paper id="1">
<title>Transformer Attention as a Unified Model of Encoding and Retrieval in Human Sentence Processing</title>
<author><first>Dan</first><last>Parker</last></author>
<pages>1-9</pages>
<url hash="d66c9c40">2026.cmcl-1.1</url>
<bibkey>parker-2026-transformer</bibkey>
<doi>10.63317/5mv4jv4mi7em</doi>
</paper>
<paper id="2">
<title><fixed-case>C</fixed-case>hinese<fixed-case>D</fixed-case>ev<fixed-case>B</fixed-case>ench: A <fixed-case>C</fixed-case>hinese Developmental Benchmark for Language Development</title>
<author><first>Shaonan</first><last>Wang</last></author>
<author><first>Yiwen</first><last>Wu</last></author>
<author><first>Na</first><last>Li</last></author>
<author><first>Zesheng</first><last>Chen</last></author>
<author><first>Gan</first><last>Wang</last></author>
<author><first>Shuchen</first><last>Zhang</last></author>
<author><first>Xin</first><last>Sun</last></author>
<author><first>Luan</first><last>Li</last></author>
<author><first>Yaran</first><last>Chen</last></author>
<pages>10-24</pages>
<url hash="4cb19576">2026.cmcl-1.2</url>
<bibkey>wang-etal-2026-chinesedevbench</bibkey>
<doi>10.63317/2an6vr7tp5hn</doi>
</paper>
<paper id="3">
<title>Predicting Sentence Acceptability Judgments in Multimodal Contexts</title>
<author><first>Hyewon</first><last>Jang</last></author>
<author><first>Nikolai</first><last>Ilinykh</last></author>
<author><first>Sharid</first><last>Loaiciga</last></author>
<author><first>Jey Han</first><last>Lau</last></author>
<author><first>Shalom</first><last>Lappin</last></author>
<pages>25-34</pages>
<url hash="8c8f036a">2026.cmcl-1.3</url>
<bibkey>jang-etal-2026-predicting</bibkey>
<doi>10.63317/42qzv829p3s6</doi>
</paper>
<paper id="4">
<title><fixed-case>T</fixed-case>o<fixed-case>M</fixed-case> in <fixed-case>LLM</fixed-case> is not <fixed-case>T</fixed-case>o<fixed-case>M</fixed-case>, but a Pragmatic Effect</title>
<author><first>Agnese</first><last>Lombardi</last></author>
<author><first>Alessandro</first><last>Lenci</last></author>
<pages>35-47</pages>
<url hash="b3378b40">2026.cmcl-1.4</url>
<bibkey>lombardi-lenci-2026-tom</bibkey>
<doi>10.63317/2hibhh6ti88d</doi>
</paper>
<paper id="5">
<title>What Kind of Language is Easy to Language-Model Under Curriculum Learning?</title>
<author><first>Nadine</first><last>El-Naggar</last></author>
<author><first>Tatsuki</first><last>Kuribayashi</last></author>
<author><first>Ted</first><last>Briscoe</last></author>
<pages>48-59</pages>
<url hash="f432c11f">2026.cmcl-1.5</url>
<bibkey>el-naggar-etal-2026-kind</bibkey>
<doi>10.63317/3bux4hskbgcg</doi>
</paper>
<paper id="6">
<title>Modeling semantic association in self-paced reading with language model embeddings</title>
<author><first>Sara Møller</first><last>Østergaard</last></author>
<author><first>Kenneth</first><last>Enevoldsen</last></author>
<author><first>Afra</first><last>Alishahi</last></author>
<author><first>Bruno</first><last>Nicenboim</last></author>
<pages>60-73</pages>
<url hash="a512b462">2026.cmcl-1.6</url>
<bibkey>ostergaard-etal-2026-modeling</bibkey>
<doi>10.63317/5hz52qgp2gdn</doi>
</paper>
<paper id="7">
<title>Character-aware Transformers Learn an Irregular Morphological Pattern Yet None Generalize Like Humans</title>
<author><first>Akhilesh</first><last>Kakolu Ramarao</last></author>
<author><first>Kevin</first><last>Tang</last></author>
<author><first>Dinah</first><last>Baer-Henney</last></author>
<pages>74-85</pages>
<url hash="add9cd26">2026.cmcl-1.7</url>
<bibkey>kakolu-ramarao-etal-2026-character</bibkey>
<doi>10.63317/3ovkb8stpc2h</doi>
</paper>
<paper id="8">
<title>Comparing Transformer Model Interpretability with Human Cognition: A Dual Analysis of Attention and Attribution</title>
<author><first>Lingchen</first><last>Kong</last></author>
<author><first>Jinnie</first><last>Shin</last></author>
<author><first>Pavlo</first><last>Antonenko</last></author>
<pages>86-98</pages>
<url hash="af38a7f2">2026.cmcl-1.8</url>
<bibkey>kong-etal-2026-comparing</bibkey>
<doi>10.63317/38zdp2f7ohmo</doi>
</paper>
<paper id="9">
<title>Correlating Language Model Surprisal With Cloze and Plausibility: Getting the Best of Both Measures</title>
<author><first>Kate</first><last>Rebecca Belcher</last></author>
<author><first>Matthew</first><last>Crocker</last></author>
<pages>99-109</pages>
<url hash="f600e302">2026.cmcl-1.9</url>
<bibkey>rebecca-belcher-crocker-2026-correlating</bibkey>
<doi>10.63317/54ndyxaguxbc</doi>
</paper>
<paper id="10">
<title>Is Cross-Lingual Transfer in Bilingual Models Human-Like? A Study with Overlapping Word Forms in <fixed-case>D</fixed-case>utch and <fixed-case>E</fixed-case>nglish</title>
<author><first>Iza</first><last>Škrjanec</last></author>
<author><first>Irene Elisabeth</first><last>Winther</last></author>
<author><first>Vera</first><last>Demberg</last></author>
<author><first>Stefan L.</first><last>Frank</last></author>
<pages>110-123</pages>
<url hash="5dae3e9a">2026.cmcl-1.10</url>
<bibkey>skrjanec-etal-2026-cross</bibkey>
<doi>10.63317/29mhg9umxszj</doi>
</paper>
<paper id="11">
<title>Brain-to-Text Decoding with Brain Atlases and Brain Foundation Models</title>
<author><first>Haruka</first><last>Akama</last></author>
<author><first>Ryo</first><last>Yoshida</last></author>
<author><first>Max</first><last>Müller-Eberstein</last></author>
<author><first>Yohei</first><last>Oseki</last></author>
<pages>124-144</pages>
<url hash="8ff5a6f5">2026.cmcl-1.11</url>
<bibkey>akama-etal-2026-brain</bibkey>
<doi>10.63317/2g3i568sqo6p</doi>
</paper>
<paper id="12">
<title>Floating or Suggesting Ideas? A Large-Scale Contrastive Analysis of Metaphorical and Literal Verb–Object Constructions</title>
<author><first>Prisca</first><last>Piccirilli</last></author>
<author><first>Alexander</first><last>Fraser</last></author>
<author><first>Sabine</first><last>Schulte im Walde</last></author>
<pages>145-161</pages>
<url hash="74d89d92">2026.cmcl-1.12</url>
<bibkey>piccirilli-etal-2026-floating</bibkey>
<doi>10.63317/29k8t89grr9b</doi>
</paper>
<paper id="13">
<title>Social Meaning in Large Language Models: Structure, Magnitude, and Pragmatic Prompting</title>
<author><first>Roland</first><last>Mühlenbernd</last></author>
<pages>162-171</pages>
<url hash="e80ba83a">2026.cmcl-1.13</url>
<bibkey>muhlenbernd-2026-social</bibkey>
<doi>10.63317/4znakjz42poe</doi>
</paper>
<paper id="14">
<title>Headlines You Won’t Forget: Can Pronoun Insertion Increase Memorability?</title>
<author><first>Selina</first><last>Meyer</last></author>
<author><first>Magdalena</first><last>Abel</last></author>
<author><first>Michael</first><last>Roth</last></author>
<pages>172-187</pages>
<url hash="cc6eece8">2026.cmcl-1.14</url>
<bibkey>meyer-etal-2026-headlines</bibkey>
<doi>10.63317/4idzgbfzipko</doi>
</paper>
<paper id="15">
<title>Aggregated Transformer Attention Measures Predict Reading Times Beyond Surprisal</title>
<author><first>Lukas</first><last>Mielczarek</last></author>
<author><first>Laura</first><last>Kallmeyer</last></author>
<pages>188-202</pages>
<url hash="6b8cc2ac">2026.cmcl-1.15</url>
<bibkey>mielczarek-kallmeyer-2026-aggregated</bibkey>
<doi>10.63317/4xn5igbwvtd5</doi>
</paper>
<paper id="16">
<title>’Layer su Layer’: Identifying and Disambiguating the <fixed-case>I</fixed-case>talian <fixed-case>NPN</fixed-case> Construction in <fixed-case>BERT</fixed-case>’s family</title>
<author><first>Greta</first><last>Gorzoni</last></author>
<author><first>Ludovica</first><last>Pannitto</last></author>
<author><first>Francesca</first><last>Masini</last></author>
<pages>203-220</pages>
<url hash="76ed89dc">2026.cmcl-1.16</url>
<bibkey>gorzoni-etal-2026-layer</bibkey>
<doi>10.63317/532xoam2mj8s</doi>
</paper>
<paper id="17">
<title>Teaching <fixed-case>LLM</fixed-case>s to unveil tendentious implicit contents of <fixed-case>I</fixed-case>talian political communication</title>
<author><first>Walter</first><last>Paci</last></author>
<author><first>Lorenzo</first><last>Gregori</last></author>
<author><first>Alessandro</first><last>Panunzi</last></author>
<pages>221-229</pages>
<url hash="6697cc39">2026.cmcl-1.17</url>
<bibkey>paci-etal-2026-teaching</bibkey>
<doi>10.63317/4da4mm3sngm7</doi>
</paper>
<paper id="18">
<title>Examining Algebraic Recombination for Compositional Generalisation</title>
<author><first>Joaquin</first><last>Cardona Ruiz</last></author>
<author><first>Antske</first><last>Fokkens</last></author>
<author><first>Lucia</first><last>Donatelli</last></author>
<pages>230-249</pages>
<url hash="a17a9041">2026.cmcl-1.18</url>
<bibkey>cardona-ruiz-etal-2026-examining</bibkey>
<doi>10.63317/2cuajw7n68ry</doi>
</paper>
<paper id="19">
<title>Can <fixed-case>LLM</fixed-case>s Simulate Human Behavioral Variability? A Case Study in the Phonemic Fluency Task</title>
<author><first>Mengyang</first><last>Qiu</last></author>
<author><first>Zoe</first><last>Brisebois</last></author>
<author><first>Siena</first><last>Sun</last></author>
<pages>250-263</pages>
<url hash="12438449">2026.cmcl-1.19</url>
<bibkey>qiu-etal-2026-llms</bibkey>
<doi>10.63317/3ncnwh7mvnfp</doi>
</paper>
<paper id="20">
<title>Translation from the Information Bottleneck Perspective: an Efficiency Analysis of Spatial Prepositions in Bitexts</title>
<author><first>Antoine</first><last>Taroni</last></author>
<author><first>Ludovic</first><last>Moncla</last></author>
<author><first>Frederique</first><last>Laforest</last></author>
<pages>264-275</pages>
<url hash="1f10e249">2026.cmcl-1.20</url>
<bibkey>taroni-etal-2026-translation</bibkey>
<doi>10.63317/35xqh9dxbax3</doi>
</paper>
<paper id="21">
<title>Causal Inferences Are Driven by Noun Concept Specificity Evidence from Self-Paced Reading and Large Language Model Surprisal</title>
<author><first>Fabian</first><last>Schlotterbeck</last></author>
<author><first>Raphael</first><last>Barth</last></author>
<pages>276-285</pages>
<url hash="45c00932">2026.cmcl-1.21</url>
<bibkey>schlotterbeck-barth-2026-causal</bibkey>
<doi>10.63317/27uaw5cm26ib</doi>
</paper>
<paper id="22">
<title>Topic-context Dependency on Continuous Semantic Reconstruction of Language from f<fixed-case>MRI</fixed-case> Signals</title>
<author><first>Fermin</first><last>Travi</last></author>
<author><first>Agustin</first><last>Delmagro</last></author>
<author><first>Diego</first><last>Fernandez Slezak</last></author>
<author><first>Bruno</first><last>Bianchi</last></author>
<author><first>Juan E.</first><last>Kamienkowski</last></author>
<pages>286-292</pages>
<url hash="18a66106">2026.cmcl-1.22</url>
<bibkey>travi-etal-2026-topic</bibkey>
<doi>10.63317/233sezzfxz2m</doi>
</paper>
<paper id="23">
<title>Disentanglement and Compositionality of Letter Identity and Letter Position in Variational Auto-Encoder Vision Models</title>
<author><first>Bruno</first><last>Bianchi</last></author>
<author><first>Aakash</first><last>Agrawal</last></author>
<author><first>Stanislas</first><last>Dehaene</last></author>
<author><first>Emmanuel</first><last>Chemla</last></author>
<author><first>Yair</first><last>Lakretz</last></author>
<pages>293-308</pages>
<url hash="9001b63d">2026.cmcl-1.23</url>
<bibkey>bianchi-etal-2026-disentanglement</bibkey>
<doi>10.63317/3btikw97586i</doi>
</paper>
<paper id="24">
<title>Plausibility as Commonsense Reasoning: Humans Succeed, Large Language Models Do not</title>
<author><first>Sercan</first><last>Karakas</last></author>
<pages>309-328</pages>
<url hash="4b48241b">2026.cmcl-1.24</url>
<bibkey>karakas-2026-plausibility</bibkey>
<doi>10.63317/4o4ggm999h5o</doi>
</paper>
<paper id="25">
<title>Benchmarking Source-Sensitive Reasoning in <fixed-case>T</fixed-case>urkish: Humans and <fixed-case>LLM</fixed-case>s under Evidential Trust Manipulation</title>
<author><first>Sercan</first><last>Karakas</last></author>
<author><first>Yusuf</first><last>Şimşek</last></author>
<pages>329-346</pages>
<url hash="03a51883">2026.cmcl-1.25</url>
<bibkey>karakas-simsek-2026-benchmarking</bibkey>
<doi>10.63317/5j8jyoaznrag</doi>
</paper>
<paper id="26">
<title>Toward Cognitive Alignment in Large Language Models: Integrating Linguistic Theory and Human Data</title>
<author><first>Wajdi</first><last>Zaghouani</last></author>
<pages>347-358</pages>
<url hash="d20c7fd5">2026.cmcl-1.26</url>
<bibkey>zaghouani-2026-toward-cognitive</bibkey>
<doi>10.63317/5d9kn8b26y4q</doi>
</paper>
</volume>
</collection>
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