Papers by Lena Ann Jäger
Genre Matters: How Text Types Interact with Decoding Strategies and Lexical Predictors in Shaping Reading Behavior (2025.emnlp-main)
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| Challenge: | eMTeC is the first eye-tracking corpus of LLM-generated texts . it shows that text type strongly modulates cognitive effort during reading . |
| Approach: | They use the first eye-tracking corpus of LLM-generated texts to study eye movements during reading and how decoding strategies interact with text types to shape reading behavior. |
| Outcome: | The first eye-tracking corpus of LLM-generated texts shows that text type strongly modulates cognitive effort during reading and that word-level psycholinguistic effects vary systematically across genres. |
Leveraging In-Context Learning for Political Bias Testing of LLMs (2025.acl-long)
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| Challenge: | Existing probing methods for evaluating LLMs with political questions have limited stability and are unreliable. |
| Approach: | They propose to use human survey data as in-context examples to query LLMs with political questions to evaluate their potential biases. |
| Outcome: | The proposed task improves the stability of question-based bias evaluation and may be used to compare instruction-tuned models to their base versions. |
Modeling Bottom-up Information Quality during Language Processing (2025.emnlp-main)
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| Challenge: | Contemporary theories of language processing model language processing as integrating both top-down expectations and bottom-up inputs. |
| Approach: | They propose an information-theoretic operationalization for the “quality” of bottom-up information as the mutual information between visual information and word identity. |
| Outcome: | The proposed model compares reading times in English and Chinese in which words' information quality has been reduced by occluding their top or bottom half with full words. |