Zobrazeno 1 - 10
of 2 020
pro vyhledávání: '"A, Hakimov"'
While there has been a lot of research recently on robots in household environments, at the present time, most robots in existence can be found on shop floors, and most interactions between humans and robots happen there. ``Collaborative robots'' (co
Externí odkaz:
http://arxiv.org/abs/2409.11041
Free-text rationales justify model decisions in natural language and thus become likable and accessible among approaches to explanation across many tasks. However, their effectiveness can be hindered by misinterpretation and hallucination. As a pertu
Externí odkaz:
http://arxiv.org/abs/2407.01384
In the Minecraft Collaborative Building Task, two players collaborate: an Architect (A) provides instructions to a Builder (B) to assemble a specified structure using 3D blocks. In this work, we investigate the use of large language models (LLMs) to
Externí odkaz:
http://arxiv.org/abs/2406.17553
What makes a good Large Language Model (LLM)? That it performs well on the relevant benchmarks -- which hopefully measure, with some validity, the presence of capabilities that are also challenged in real application. But what makes the model perform
Externí odkaz:
http://arxiv.org/abs/2406.14051
Autor:
Hakimov, Sherzod, Abdullayeva, Yerkezhan, Koshti, Kushal, Schmidt, Antonia, Weiser, Yan, Beyer, Anne, Schlangen, David
While the situation has improved for text-only models, it again seems to be the case currently that multimodal (text and image) models develop faster than ways to evaluate them. In this paper, we bring a recently developed evaluation paradigm from te
Externí odkaz:
http://arxiv.org/abs/2406.14035
Autor:
Beyer, Anne, Chalamalasetti, Kranti, Hakimov, Sherzod, Madureira, Brielen, Sadler, Philipp, Schlangen, David
It has been established in recent work that Large Language Models (LLMs) can be prompted to "self-play" conversational games that probe certain capabilities (general instruction following, strategic goal orientation, language understanding abilities)
Externí odkaz:
http://arxiv.org/abs/2405.20859
Publikováno v:
LREC-COLING 2024 - The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation
In recent years, multimodal natural language processing, aimed at learning from diverse data types, has garnered significant attention. However, there needs to be more clarity when it comes to analysing multimodal tasks in multi-lingual contexts. Whi
Externí odkaz:
http://arxiv.org/abs/2404.01753
In collaborative goal-oriented settings, the participants are not only interested in achieving a successful outcome, but do also implicitly negotiate the effort they put into the interaction (by adapting to each other). In this work, we propose a cha
Externí odkaz:
http://arxiv.org/abs/2403.17497
Albrecht and Stone (2018) state that modeling of changing behaviors remains an open problem "due to the essentially unconstrained nature of what other agents may do". In this work we evaluate the adaptability of neural artificial agents towards assum
Externí odkaz:
http://arxiv.org/abs/2402.04824
Investigations of electromagnetic interactions between test-charged and magnetized particles are important in the dynamics of the particles in strong gravitational fields around black holes. Here, we study the dynamics of a particle having an electri
Externí odkaz:
http://arxiv.org/abs/2310.08046