- Allen Institute for Artificial IntelligenceUS1 paper
- Astrobotic (United States)US1 paper
- Bielefeld UniversityDE1 paper
- Center for Scalable Data Analytics and Artificial IntelligenceDE1 paper
- Delft University of TechnologyNL1 paper
- Electronics and Telecommunications Research InstituteKR1 paper
- Higher Institute of Applied ArtsEG1 paper
- Ho Chi Minh City University of ScienceVN1 paper
- Huawei Technologies (United Kingdom)GB1 paper
- Istituto MotoriIT1 paper
- KTH Royal Institute of TechnologySE1 paper
- Max Planck Institute for InformaticsDE1 paper
4 papers
GPTKB v1.5: A Massive Knowledge Base for Exploring Factual LLM Knowledge
Yujia Hu, Tuan-Phong Nguyen, Shrestha Ghosh +2
Language models are powerful artifacts, yet their factual knowledge is still poorly understood, and inaccessible to ad-hoc browsing and scalable statistical analysis. This demonstr…
Towards Open World Sound Event Detection
P. H. Hai, L. T. Minh, L. H. Son
Sound Event Detection (SED) plays a vital role in audio understanding, with applications in surveillance, smart cities, healthcare, and multimedia indexing. However, conventional S…
Towards Reliable Human Evaluations in Gesture Generation: Insights from a Community-Driven State-of-the-Art Benchmark
Rajmund Nagy, Hendric Voss, Thanh Hoang-Minh +18
We review human evaluation practices in automatic, speech-driven 3D gesture generation and find a lack of standardisation and frequent use of flawed experimental setups. This leads…
From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems
Quang-Huy Nguyen, Thanh-Hai Nguyen, Khac-Manh Thai +6
Counterfactual explanations (CEs) provide an intuitive way to understand recommender systems by identifying minimal modifications to user-item interactions that alter recommendatio…