3 papers
cs.CL2025★ 1 cited
Derailing Non-Answers via Logit Suppression at Output Subspace Boundaries in RLHF-Aligned Language Models
Harvey Dam, Jonas Knochelmann, Vinu Joseph +1
We introduce a method to reduce refusal rates of large language models (LLMs) on sensitive content without modifying model weights or prompts. Motivated by the observation that ref…
cs.DC2024★ 5 cited
What Operations can be Performed Directly on Compressed Arrays, and with What Error?
Tripti Agarwal, Harvey Dam, Dorra Ben Khalifa +3
In response to the rapidly escalating costs of computing with large matrices and tensors caused by data movement, several lossy compression methods have been developed to significa…
cs.DC2023
MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications
Bo Fang, Xinyi Li, Harvey Dam +9
Emerging deep learning workloads urgently need fast general matrix multiplication (GEMM). To meet such demand, one of the critical features of machine-learning-specific accelerator…