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cs.CL2026
Titan-Llama: Retrofitting Pre-trained LLMs with External Neural Memory Modules
Sarah Pan, Ali Behrouz
Transformers are efficient to pre-train at scale because attention permits parallel computation across sequence positions, but long-context inference requires increasingly large KV…
cs.CL2026
Disparities In Negation Understanding Across Languages In Vision-Language Models
Charikleia Moraitaki, Sarah Pan, Skyler Pulling +3
Vision-language models (VLMs) exhibit affirmation bias: a systematic tendency to select positive captions ("X is present") even when the correct description contains negation ("no…