Summary of Stencil: Submodular Mutual Information Based Weak Supervision For Cold-start Active Learning, by Nathan Beck et al.
STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learningby Nathan Beck, Adithya Iyer,…
Summary of Propd: Dynamic Token Tree Pruning and Generation For Llm Parallel Decoding, by Shuzhang Zhong et al.
ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decodingby Shuzhang Zhong, Zebin Yang,…
Summary of Inductive Graph Alignment Prompt: Bridging the Gap Between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective, by Yuchen Yan et al.
Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral…
Summary of Db-llm: Accurate Dual-binarization For Efficient Llms, by Hong Chen et al.
DB-LLM: Accurate Dual-Binarization for Efficient LLMsby Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin…
Summary of Aicattack: Adversarial Image Captioning Attack with Attention-based Optimization, by Jiyao Li et al.
AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimizationby Jiyao Li, Mingze Ni, Yifei Dong, Tianqing…
Summary of Llm-assisted Crisis Management: Building Advanced Llm Platforms For Effective Emergency Response and Public Collaboration, by Hakan T. Otal and M. Abdullah Canbaz
LLM-Assisted Crisis Management: Building Advanced LLM Platforms for Effective Emergency Response and Public Collaborationby Hakan…
Summary of Conformalized Credal Set Predictors, by Alireza Javanmardi et al.
Conformalized Credal Set Predictorsby Alireza Javanmardi, David Stutz, Eyke HüllermeierFirst submitted to arxiv on: 16…
Summary of Linear Transformers with Learnable Kernel Functions Are Better In-context Models, by Yaroslav Aksenov et al.
Linear Transformers with Learnable Kernel Functions are Better In-Context Modelsby Yaroslav Aksenov, Nikita Balagansky, Sofia…
Summary of Datadreamer: a Tool For Synthetic Data Generation and Reproducible Llm Workflows, by Ajay Patel et al.
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflowsby Ajay Patel, Colin Raffel,…
Summary of Logelectra: Self-supervised Anomaly Detection For Unstructured Logs, by Yuuki Yamanaka et al.
LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logsby Yuuki Yamanaka, Tomokatsu Takahashi, Takuya Minami, Yoshiaki NakajimaFirst…