Papers
Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models
Kejia Chen, Jiawen Zhang, Jiacong Hu et al.
Assessing Socio-Cultural Alignment and Technical Safety of Sovereign LLMs
Kyubyung Chae, Gihoon Kim, Gyuseong Lee et al.
Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems
Junyi Ye, Jingyi Gu, Xinyun Zhao et al.
Assessing the Exposure to Public Knowledge in Policy-Protected Description Logic Ontologies
Gianluca Cima, Domenico Lembo, Lorenzo Marconi et al.
Assessing the Human Likeness of AI-Generated Counterspeech
Xiaoying Song, Sujana Mamidisetty, Eduardo Blanco et al.
Assessing the Impact of Population Data Domain Differences on Transfer Learning in P300-based Brain-Computer Interfaces (Student Abstract)
Rally Lin, Christina Mo, Reyan Shariff et al.
Assessing the Limits of In-Context Learning beyond Functions using Partially Ordered Relation
Debanjan Dutta, Faizanuddin Ansari, Swagatam Das
Assessing the Limits of In-Context Learning beyond Functions using Partially Ordered Relation
Debanjan Dutta, Faizanuddin Ansari, Swagatam Das
Assessing the Macro and Micro Effects of Random Seeds on Fine-Tuning Large Language Models
Nghia Tuan Bui, Guergana K Savova, Lijing Wang
Assessing the Macro and Micro Effects of Random Seeds on Fine-Tuning Large Language Models
Nghia Tuan Bui, Guergana K Savova, Lijing Wang
Assessing the Quality of 3D Reconstruction in the Absence of Ground Truth: Application to a Multimodal Archaeological Dataset
Benjamin Coupry, Baptiste Brument, Antoine Laurent et al.
Assessing the Reasoning Capabilities of LLMs in the context of Evidence-based Claim Verification
John Dougrez-Lewis, Mahmud Elahi Akhter, Federico Ruggeri et al.
Assessing the Reliability and Validity of GPT-4 in Annotating Emotion Appraisal Ratings
Deniss Ruder, Andero Uusberg, Kairit Sirts
Assessing the Reliability of LLMs Annotations in the Context of Demographic Bias and Model Explanation
Hadi Mohammadi, Tina Shahedi, Pablo Mosteiro et al.
Assessing the Role of Data Quality in Training Bilingual Language Models
Skyler Seto, Maartje Ter Hoeve, Maureen de Seyssel et al.
Assessing the Sensitivity and Alignment of FOL Closeness Metrics
Ramya Keerthy Thatikonda, Wray Buntine, Ehsan Shareghi
Assessing the State of the Art in Scene Segmentation
Albin Zehe, Elisabeth Fischer, Andreas Hotho
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance
Huakun Shen, Boyue Hu, Krzysztof Czarnecki et al.
Assessment and manipulation of latent constructs in pre-trained language models using psychometric scales
Maor Reuben, Ortal Slobodin, Idan-Chaim Cohen et al.
Asset Pricing with Contrastive Adversarial Variational Bayes
Ruirui Liu, Huichou Huang, Johannes Ruf
Assigning Distinct Roles to Quantized and Low-Rank Matrices Toward Optimal Weight Decomposition
Yoonjun Cho, Soeun Kim, Dongjae Jeon et al.
Assignment of account type to proto-cuneiform economic texts with Multi-Class Support Vector Machines
Piotr Zadworny, Shai Gordin
Assimilation and Accommodation: Task-Adaptive Hierarchical Abstraction for Solving Web Tasks
Xinyu Pang, Ruixin Hong, Hongming Zhang et al.
As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss
Xin Mao, Huimin Xu, Feng-Lin Li et al.