Papers
176,624 papers found
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.
Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge
Zhuo Liu, Moxin Li, Xun Deng et al.
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science
An Luo, Xun Xian, Jin Du et al.
AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity
Yifan Liu, Wenkuan Zhao, Shanshan Zhong et al.
Association Pattern-enhanced Molecular Representation Learning
Lingxiang Jia, Yuchen Ying, Tian Qiu et al.
Associative Transformer
Yuwei Sun, Hideya Ochiai, Zhirong Wu et al.
Assumed Identities: Quantifying Gender Bias in Machine Translation of Gender-Ambiguous Occupational Terms
Orfeas Menis Mastromichalakis, Giorgos Filandrianos, Maria Symeonaki et al.
Assumption-lean and data-adaptive post-prediction inference
Jiacheng Miao, Xinran Miao, Yixuan Wu et al.
A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models
Bowen Chen, Namgi Han, Yusuke Miyao
A statistical perspective on algorithm unrolling models for inverse problems
Yves Atchade, Xinru Liu, Qiuyun Zhu
A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs
Wangbo Zhao, Yizeng Han, Jiasheng Tang et al.
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning
Minyoung Kim, Timothy Hospedales