2 papers
cs.AI2026
Recalling Too Well: Sycophancy Evaluation and Mitigation in Memory-Augmented Models
Shelly Bensal, Axel Magnuson, Aparna Balagopalan +1
Persistent memory systems promise to make LLMs more helpful by storing user beliefs over time. We show they also make models less correct by amplifying sycophancy, wherein models p…
cs.CL2024
Writing in the Margins: Better Inference Pattern for Long Context Retrieval
Melisa Russak, Umar Jamil, Christopher Bryant +4
In this paper, we introduce Writing in the Margins (WiM), a new inference pattern for Large Language Models designed to optimize the handling of long input sequences in retrieval-o…