Summary of Exact Byte-level Probabilities From Tokenized Language Models For Fim-tasks and Model Ensembles, by Buu Phan et al.
Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensemblesby Buu Phan, Brandon…
Summary of Semantic Token Reweighting For Interpretable and Controllable Text Embeddings in Clip, by Eunji Kim et al.
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIPby Eunji Kim, Kyuhong Shim,…
Summary of Elastictok: Adaptive Tokenization For Image and Video, by Wilson Yan et al.
ElasticTok: Adaptive Tokenization for Image and Videoby Wilson Yan, Volodymyr Mnih, Aleksandra Faust, Matei Zaharia,…
Summary of A Closer Look at Machine Unlearning For Large Language Models, by Xiaojian Yuan et al.
A Closer Look at Machine Unlearning for Large Language Modelsby Xiaojian Yuan, Tianyu Pang, Chao…
Summary of Moe++: Accelerating Mixture-of-experts Methods with Zero-computation Experts, by Peng Jin et al.
MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Expertsby Peng Jin, Bo Zhu, Li Yuan, Shuicheng YanFirst…
Summary of Towards Interpreting Visual Information Processing in Vision-language Models, by Clement Neo et al.
Towards Interpreting Visual Information Processing in Vision-Language Modelsby Clement Neo, Luke Ong, Philip Torr, Mor…
Summary of Gridded Transformer Neural Processes For Large Unstructured Spatio-temporal Data, by Matthew Ashman et al.
Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Databy Matthew Ashman, Cristiana Diaconu, Eric Langezaal,…
Summary of Think While You Generate: Discrete Diffusion with Planned Denoising, by Sulin Liu et al.
Think While You Generate: Discrete Diffusion with Planned Denoisingby Sulin Liu, Juno Nam, Andrew Campbell,…
Summary of Mixture Compressor For Mixture-of-experts Llms Gains More, by Wei Huang et al.
Mixture Compressor for Mixture-of-Experts LLMs Gains Moreby Wei Huang, Yue Liao, Jianhui Liu, Ruifei He,…
Summary of Non-halting Queries: Exploiting Fixed Points in Llms, by Ghaith Hammouri et al.
Non-Halting Queries: Exploiting Fixed Points in LLMsby Ghaith Hammouri, Kemal Derya, Berk SunarFirst submitted to…