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cs.CL2026
Can LLMs Separate Pasted Artifacts from User Speech? Absorption at Unmarked Prompt Seams
Sugam Panthi, Muhaiminul Yeamin, Rabab Abdelfattah
Large language models (LLMs) receive each user message as plain text, even when it combines text from different sources. For example, a user may paste text into a prompt and keep t…
cs.CL2026
Memory Consolidation Flattens the Temporal Shape of User Facts
Sugam Panthi, Muhaiminul Yeamin, Siyan Luo +1
Long-term memory systems turn conversations into short stored notes. A note can keep a user fact while losing evidence about whether the fact still holds. For example, "I am drivin…