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Kaiyan Chang

2 accepted papers

2025

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models

EMNLP 2025

Test-Time Scaling (TTS) is a promising approach to progressively elicit the model’s intelligence during inference. Recently, training-based TTS methods, such as continued reinforcement learning (RL), have further surged in popularity, while training-free TTS methods are gradually fading from promine

2024

Hybrid Alignment Training for Large Language Models

ACL 2024findings

Alignment training is crucial for enabling large language models (LLMs) to cater to human intentions and preferences. It is typically performed based on two stages with different objectives: instruction-following alignment and human-preference alignment. However, aligning LLMs with these objectives…