Pierre-Yves Oudeyer


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Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation
Xingdi Yuan | Tong Wang | Yen-Hsiang Wang | Emery Fine | Rania Abdelghani | Hélène Sauzéon | Pierre-Yves Oudeyer
Findings of the Association for Computational Linguistics: ACL 2023

Large Language Models (LLMs) have in recent years demonstrated impressive prowess in natural language generation. A common practice to improve generation diversity is to sample multiple outputs from the model. However, partly due to the inaccessibility of LLMs, there lacks a simple and robust way of selecting the best output from these stochastic samples. As a case study framed in the context of question generation, we propose two prompt-based approaches, namely round-trip and prompt-based score, to selecting high-quality questions from a set of LLM-generated candidates. Our method works without the need to modify the underlying model, nor does it rely on human-annotated references — both of which are realistic constraints for real-world deployment of LLMs. With automatic as well as human evaluations, we empirically demonstrate that our approach can effectively select questions of higher qualities than greedy generation.


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Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents
Laetitia Teodorescu | Xingdi Yuan | Marc-Alexandre Côté | Pierre-Yves Oudeyer
Proceedings of the 3rd Wordplay: When Language Meets Games Workshop (Wordplay 2022)

The purpose of this extended abstract is to discuss the possible fruitful interactions between intrinsically-motivated language-conditioned agents and textual environments. We define autotelic agents as agents able to set their own goals. We identify desirable properties of textual nenvironments that makes them a good testbed for autotelic agents. We them list drivers of exploration for such agents that would allow them to achieve large repertoires of skills in these environments, enabling such agents to be repurposed for solving the benchmarks implemented in textual environments. We then discuss challenges and further perspectives brought about by this interaction.