24 citations · 48 across the 21 of their papers we have counts for
3 papers · 2 filters
Code-Optimise: Self-Generated Preference Data for Correctness and Efficiency
Leonidas Gee, Milan Gritta, Gerasimos Lampouras +1
Code Language Models have been trained to generate accurate solutions, typically with no regard for runtime. On the other hand, previous works that explored execution optimisation…
HumanRankEval: Automatic Evaluation of LMs as Conversational Assistants
Milan Gritta, Gerasimos Lampouras, Ignacio Iacobacci
Language models (LMs) as conversational assistants recently became popular tools that help people accomplish a variety of tasks. These typically result from adapting LMs pretrained…
Findings of the First Workshop on Simulating Conversational Intelligence in Chat
Yvette Graham, Mohammed Rameez Qureshi, Haider Khalid +3
The aim of the workshop was to bring together experts working on open-domain dialogue research. In this speedily advancing research area many challenges still exist, such as learni…