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Edward Chung

2 accepted papers

2025

Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models

IJCAI 2025

With the rapid development of Large Language Models (LLMs), aligning these models with human preferences and values is critical to ensuring ethical and safe applications. However, existing alignment techniques such as RLHF or DPO often require direct fine-tuning on LLMs with billions of parameters,

2015

Estimating link-dependent Origin-Destination matrices from sample trajectories and traffic counts

ICASSP 2015accepted

In transport networks, Origin-Destination matrices (ODM) are classically estimated from road traffic counts whereas recent technologies grant also access to sample car trajectories. One example is the deployment in cities of Bluetooth scanners that measure the trajectories of Bluetooth equipped cars…

Cited by 0SourceScholar