Progress in language model development is often driven by comparative decisions: which architecture to adopt, which pretraining corpus to use, or which training recipe to apply. Making these decisions...

Learning a shared representation between spoken text and gesture is central to co-speech gesture retrieval, synthesis, and understanding, but remains challenging for semantically meaningful gestures w...

Humans systematically misrepresent probability in a stereotyped inverse-S pattern. It has been documented for decades, but its origin remains unexplained. We propose a Bayesian encoding-decoding accou...

The Department of Language Science and Technology at the Saarland University is gaining a new professor: On October 1, 2026, Marius Mosbach will join the department as Professor of Language Science and Technology and build a new research group.

Of the mere five ERC Starting Grants awarded to Germany in the field of computer science, one has gone to Saarbrücken-based computational linguist Michael Hahn. With his research project “REALM: Found...

To interpret context correctly and retrieve relevant information, large language models must bind entities to their attributes and update these bindings as state changes. We analyze how LLMs implement...

To guarantee that an LLM's outputs conform to a specified structure, context-free grammar (CFG) decoding engines force the selection of next tokens that produce strings that conform to a given CFG. Wh...

The task of authorship style transfer involves rewriting text in the style of a target author while preserving the meaning of the original text. Existing style transfer methods train a single model on...

Vision-language models such as CLIP are highly useful for diverse tasks due to their shared image-text embedding space. Despite this, the image and text embeddings are often poorly aligned, affecting ...

Languages vary widely in how meanings map to word forms. These mappings have been found to support efficient communication; however, this theory does not account for systematic relations within word f...

We investigate the separation of literal interpretation from contextual inference in a collaborative block-building task where a builder must resolve underspecified instructions using contextual infer...

Chain-of-Thought (CoT) has been shown to empirically improve Transformers' performance, and theoretically increase their expressivity to Turing completeness. However, whether Transformers can learn to...

Die drei Top-Themen der Sendung im Überblick: Saarland Versicherungen bereiten Alternativangebote zur Riester-Rente vor, Martin Grasmück bleibt Intendant des Saarländischen Rundfunks und Neuer „Saar P...

Prediction is central to both expectation-based theories of human language processing (such as Surprisal Theory), and the objective of neural network-based causal language models, where upcoming token...

Embodied Conversational Agents (ECAs) aim to emulate human face-to-face interaction through speech, gestures, and facial expressions. Current large language model (LLM)-based conversational agents lac...

Bilingual speakers show cross-lingual activation during reading, especially for words with shared surface form. Cognates (friends) typically lead to facilitation, whereas interlingual homographs (fals...

Request PDF | Referring Effectively to a Group of Objects | In communication, we often need to refer to multiple objects. We have several possibilities: enumerating the objects one by one or referring...