Author

Hsien-Chin Lin

3 papers indexed here

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#artificial intelligence Jul 2025

Post-Training Large Language Models via Reinforcement Learning from Self-Feedback

Reinforcement Learning from Self-Feedback (RLSF) is presented, a post-training stage that utilises the model's intrinsic confidence as a self-generated reward and affirms reinforcement learning on intrinsic model behaviour as a principled and data-efficient component of the LLM post-training pipeline.

Carel van Niekerk, Renato Vukovic, Benjamin Matthias Ruppik et al. · arXiv.org · 13 citations · ⚡1

#natural language process... Open access Jul 2025

All Learning Has an Emotional Basis, So Does Task-Oriented Dialogue

A novel end-to-end framework that combines fully lexicalised representations with an LLM backbone for improved semantic accuracy and employs online reinforcement learning with short-term emotional and long-term task-success rewards for joint optimisation of emotional interaction and task success is proposed.

Shutong Feng, Hsien-Chin Lin, Nurul Lubis et al. · Transactions of the Associat... · 2 citations

#artificial intelligence Preprint Sep 2026

Leveraging Low-Level Symbolic Competences for Unsupervised Grounding in Hallucination Detection

This work investigates whether an LLM can use an alternative, low level, symbolic competence such as SQL for unsupervised hallucination detection in some high level task and finds that this approach improves on direct prediction and competes with state-of-the-art hallucination detection methods, while not requiring dom...

Renato Vukovic, Hsien-Chin Lin, Carel van Niekerk et al. · 0 citations