140 citations · 359 across the 24 of their papers we have counts for
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cs.AI2026
SCRIBE: Scalable Contextual Representations of Interpretable Brain-Grounded Semantics
Camila Kolling, Omer Moussa, Emin Çelik +1
Understanding how the human brain constructs meaning from real-world language remains a fundamental challenge, as semantics depend on context that varies in natural settings. To en…
cs.AI2026
Decomposing Brain-LLM Alignment with Interpretable Semantic Representations
Camila Kolling, Mariya Toneva
Large language models (LLMs) predict neural responses during naturalistic language comprehension, but the linguistic information underlying this brain alignment remains difficult t…
cs.AI2026
Temporal Context Reinstatement Drives Episodic-Like Order Memory in Long-Context Language Models
Mathis Pink, Vy Ai Vo, Qinyuan Wu +7
Human episodic memory supports the retrieval of experiences that unfold over extended timescales, yet the computational mechanisms underlying this ability remain debated due to the…