Summary of Evaluating the Generalization Ability Of Quantized Llms: Benchmark, Analysis, and Toolbox, by Yijun Liu et al.
Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and Toolboxby Yijun Liu, Yuan Meng,…
Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and Toolboxby Yijun Liu, Yuan Meng,…
GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasksby Ihor Stepanov, Mykhailo ShtopkoFirst submitted…
Can Go AIs be adversarially robust?by Tom Tseng, Euan McLean, Kellin Pelrine, Tony T. Wang,…
Attack and Defense of Deep Learning Models in the Field of Web Attack Detectionby Lijia…
Insect Identification in the Wild: The AMI Datasetby Aditya Jain, Fagner Cunha, Michael James Bunsen,…
Generalization bounds for mixing processes via delayed online-to-PAC conversionsby Baptiste Abeles, Eugenio Clerico, Gergely NeuFirst…
UniGLM: Training One Unified Language Model for Text-Attributed Graph Embeddingby Yi Fang, Dongzhe Fan, Sirui…
Rethinking Spatio-Temporal Transformer for Traffic Prediction:Multi-level Multi-view Augmented Learning Frameworkby Jiaqi Lin, Qianqian RenFirst submitted…
Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learningby Hui Liu, Wenya Wang, Hao…
A Benchmark for Maximum Cut: Towards Standardization of the Evaluation of Learned Heuristics for Combinatorial…