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cs.LG2026
Preference Instability in Reward Models: Detection and Mitigation via Sparse Autoencoders
Shunchang Liu, Xin Chen, Belen Martin Urcelay +1
Preference learning in large language models relies on reward models as proxies for human judgment. However, these models frequently exhibit preference instability, producing contr…
cs.LG2023
Benchmarking the Robustness of Quantized Models
Yisong Xiao, Tianyuan Zhang, Shunchang Liu +1
Quantization has emerged as an essential technique for deploying deep neural networks (DNNs) on devices with limited resources. However, quantized models exhibit vulnerabilities wh…