1 citations · 2 across the 5 of their papers we have counts for
3 papers · 1 filter
Discovering Novel LLM Experts via Task-Capability Coevolution
Andrew Dai, Boris Meinardus, Ciaran Regan +2
Frontier model developers aim to train models continually to possess emergent, diverse capabilities. To extend capabilities, the current pre-training and post-training paradigm req…
Problem-Solving in Language Model Networks
Ciaran Regan, Alexandre Gournail, Mizuki Oka
To improve the reasoning and question-answering capabilities of Large Language Models (LLMs), several multi-agent approaches have been introduced. While these methods enhance perfo…
Can Generative Agents Predict Emotion?
Ciaran Regan, Nanami Iwahashi, Shogo Tanaka +1
Large Language Models (LLMs) have demonstrated a number of human-like abilities, however the empathic understanding and emotional state of LLMs is yet to be aligned to that of huma…