24 citations · 48 across the 21 of their papers we have counts for
4 papers · 1 filter
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…
MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation
Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang +5
Text-to-image generation has achieved astonishing results, yet precise spatial controllability and prompt fidelity remain highly challenging. This limitation is typically addressed…
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…