Summary of Discrete Diffusion Language Model For Efficient Text Summarization, by Do Huu Dat et al.
Discrete Diffusion Language Model for Efficient Text Summarizationby Do Huu Dat, Do Duc Anh, Anh…
Summary of Chared: Character-wise Ensemble Decoding For Large Language Models, by Kevin Gu et al.
CharED: Character-wise Ensemble Decoding for Large Language Modelsby Kevin Gu, Eva Tuecke, Dmitriy Katz, Raya…
Summary of Evaluating the Efficacy Of Foundational Models: Advancing Benchmarking Practices to Enhance Fine-tuning Decision-making, by Oluyemi Enoch Amujo and Shanchieh Jay Yang
Evaluating the Efficacy of Foundational Models: Advancing Benchmarking Practices to Enhance Fine-Tuning Decision-Makingby Oluyemi Enoch…
Summary of Fast Matrix Multiplications For Lookup Table-quantized Llms, by Han Guo et al.
Fast Matrix Multiplications for Lookup Table-Quantized LLMsby Han Guo, William Brandon, Radostin Cholakov, Jonathan Ragan-Kelley,…
Summary of Probability Passing For Graph Neural Networks: Graph Structure and Representations Joint Learning, by Ziyan Wang et al.
Probability Passing for Graph Neural Networks: Graph Structure and Representations Joint Learningby Ziyan Wang, Yaxuan…
Summary of Continual Deep Learning on the Edge Via Stochastic Local Competition Among Subnetworks, by Theodoros Christophides and Kyriakos Tolias and Sotirios Chatzis
Continual Deep Learning on the Edge via Stochastic Local Competition among Subnetworksby Theodoros Christophides, Kyriakos…
Summary of Grapheval: a Knowledge-graph Based Llm Hallucination Evaluation Framework, by Hannah Sansford et al.
GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Frameworkby Hannah Sansford, Nicholas Richardson, Hermina Petric Maretic,…
Summary of The Hidden Influence Of Latent Feature Magnitude When Learning with Imbalanced Data, by Damien A. Dablain and Nitesh V. Chawla
The Hidden Influence of Latent Feature Magnitude When Learning with Imbalanced Databy Damien A. Dablain,…
Summary of Improving Graph Out-of-distribution Generalization on Real-world Data, by Can Xu et al.
Improving Graph Out-of-distribution Generalization on Real-world Databy Can Xu, Yao Cheng, Jianxiang Yu, Haosen Wang,…
Summary of Iot-lm: Large Multisensory Language Models For the Internet Of Things, by Shentong Mo et al.
IoT-LM: Large Multisensory Language Models for the Internet of Thingsby Shentong Mo, Russ Salakhutdinov, Louis-Philippe…