Hsiang Hsu

activity

20232026

most citedProbing LLM Hallucination from Within: Perturbation-Driven Approach via Internal Knowledge

3 citations · 4 across the 10 of their papers we have counts for

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3 papers · 1 filter

cs.LG2026

Best-of-Better- $N$ : Generating Pre-Aligned Responses with In-Context Learning

Eric Lei, Hsiang Hsu, Chun-Fu Chen

Inference-time alignment methods, such as Best-of- $N$ , offer a flexible alternative to training-based alignment by using reward models to select high-quality responses generated by…

cs.AI2026

Best-of-Tails: Bridging Optimism and Pessimism in Inference-Time Alignment

Hsiang Hsu, Eric Lei, Chun-Fu Chen

Inference-time alignment effectively steers large language models (LLMs) by generating multiple candidates from a reference model and selecting among them with an imperfect reward…

cs.LG2026

Does Privacy Always Harm Fairness? Data-Dependent Trade-offs via Chernoff Information Neural Estimation

Arjun Nichani, Hsiang Hsu, Chun-Fu +2

Fairness and privacy are two vital pillars of trustworthy machine learning. Despite extensive research on these individual topics, their relationship has received significantly les…

Best-of-Better-N: Generating Pre-Aligned Responses with In-Context Learning

Best-of-Tails: Bridging Optimism and Pessimism in Inference-Time Alignment

Does Privacy Always Harm Fairness? Data-Dependent Trade-offs via Chernoff Information Neural Estimation

Best-of-Better- $N$ : Generating Pre-Aligned Responses with In-Context Learning