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of 11 861
pro vyhledávání: '"P. Heck"'
Large language models (LLMs) are essential in natural language processing (NLP) but are costly in data collection, pre-training, fine-tuning, and inference. Task-specific small language models (SLMs) offer a cheaper alternative but lack robustness an
Externí odkaz:
http://arxiv.org/abs/2410.18287
Autor:
Punjwani, Saif, Heck, Larry
As virtual agents become increasingly prevalent in human-computer interaction, generating realistic and contextually appropriate gestures in real-time remains a significant challenge. While neural rendering techniques have made substantial progress w
Externí odkaz:
http://arxiv.org/abs/2410.16533
Autor:
Punjwani, Saif, Heck, Larry
The scarcity of high-quality, multimodal training data severely hinders the creation of lifelike avatar animations for conversational AI in virtual environments. Existing datasets often lack the intricate synchronization between speech, facial expres
Externí odkaz:
http://arxiv.org/abs/2410.16503
Superconductor-normal material-superconductor (SNS) junctions are being integrated into microwave circuits for fundamental and applied research goals. The short junction limit is a common simplifying assumption for experiments with SNS junctions, but
Externí odkaz:
http://arxiv.org/abs/2410.01913
Autor:
Alameddine, J. M., Albrecht, J., Ammerman-Yebra, J., Arrabito, L., Alves Jr., A. A., Baack, D., Coleman, A., Dembinski, H., Elsässer, D., Engel, R., Faure, A., Ferrari, A., Gaudu, C., Glaser, C., Gottowik, M., Heck, D., Huege, T., Kampert, K. H., Karastathis, N., Nellen, L., Pierog, T., Prechelt, R., Reininghaus, M., Rhode, W., Riehn, F., Sackel, M., Sampathkumar, P., Sandrock, A., Soedingrekso, J., Ulrich, R.
CORSIKA 8 is a new framework for simulations of particle cascades in air and dense media implemented in modern C++17, based on past experience with existing codes, in particular CORSIKA 7. The flexible and modular structure of the project allows the
Externí odkaz:
http://arxiv.org/abs/2409.15999
Retrieval augmented generation (RAG) systems augment how knowledge language models are by integrating external information sources such as Wikipedia, internal documents, scientific papers, or the open internet. RAG systems that rely on the open inter
Externí odkaz:
http://arxiv.org/abs/2408.11189
An enhancement in the activity of the early young Sun resulting in a high charged particle flux has been invoked to explain excesses in spallation-induced nuclides in primitive planetary materials. Astronomical observations of energetic outbursts of
Externí odkaz:
http://arxiv.org/abs/2408.07835
Autor:
Ruppik, Benjamin Matthias, Heck, Michael, van Niekerk, Carel, Vukovic, Renato, Lin, Hsien-chin, Feng, Shutong, Zibrowius, Marcus, Gašić, Milica
A common approach for sequence tagging tasks based on contextual word representations is to train a machine learning classifier directly on these embedding vectors. This approach has two shortcomings. First, such methods consider single input sequenc
Externí odkaz:
http://arxiv.org/abs/2408.03706
Autor:
Lizzo, Tyler, Heck, Larry
Given the prevalence of large language models (LLMs) and the prohibitive cost of training these models from scratch, dynamically forgetting specific knowledge e.g., private or proprietary, without retraining the model has become an important capabili
Externí odkaz:
http://arxiv.org/abs/2408.04140
Autor:
Feng, Shutong, Lin, Hsien-chin, Geishauser, Christian, Lubis, Nurul, van Niekerk, Carel, Heck, Michael, Ruppik, Benjamin, Vukovic, Renato, Gašić, Milica
Emotions are indispensable in human communication, but are often overlooked in task-oriented dialogue (ToD) modelling, where the task success is the primary focus. While existing works have explored user emotions or similar concepts in some ToD tasks
Externí odkaz:
http://arxiv.org/abs/2408.02417