Summary of Tinyagent: Function Calling at the Edge, by Lutfi Eren Erdogan et al.
TinyAgent: Function Calling at the Edgeby Lutfi Eren Erdogan, Nicholas Lee, Siddharth Jha, Sehoon Kim,…
Summary of Towards Faster Graph Partitioning Via Pre-training and Inductive Inference, by Meng Qin et al.
Towards Faster Graph Partitioning via Pre-training and Inductive Inferenceby Meng Qin, Chaorui Zhang, Yu Gao,…
Summary of Evaluating the Effectiveness Of Large Language Models in Representing and Understanding Movement Trajectories, by Yuhan Ji et al.
Evaluating the Effectiveness of Large Language Models in Representing and Understanding Movement Trajectoriesby Yuhan Ji,…
Summary of Negation Blindness in Large Language Models: Unveiling the No Syndrome in Image Generation, by Mohammad Nadeem et al.
Negation Blindness in Large Language Models: Unveiling the NO Syndrome in Image Generationby Mohammad Nadeem,…
Summary of Enhancing Event Reasoning in Large Language Models Through Instruction Fine-tuning with Semantic Causal Graphs, by Mazal Bethany et al.
Enhancing Event Reasoning in Large Language Models through Instruction Fine-Tuning with Semantic Causal Graphsby Mazal…
Summary of Non-instructional Fine-tuning: Enabling Instruction-following Capabilities in Pre-trained Language Models Without Instruction-following Data, by Juncheng Xie et al.
Non-instructional Fine-tuning: Enabling Instruction-Following Capabilities in Pre-trained Language Models without Instruction-Following Databy Juncheng Xie, Shensian…
Summary of Mini-omni: Language Models Can Hear, Talk While Thinking in Streaming, by Zhifei Xie and Changqiao Wu
Mini-Omni: Language Models Can Hear, Talk While Thinking in Streamingby Zhifei Xie, Changqiao WuFirst submitted…
Summary of Llava-chef: a Multi-modal Generative Model For Food Recipes, by Fnu Mohbat and Mohammed J. Zaki
LLaVA-Chef: A Multi-modal Generative Model for Food Recipesby Fnu Mohbat, Mohammed J. ZakiFirst submitted to…
Summary of Parameter-efficient Quantized Mixture-of-experts Meets Vision-language Instruction Tuning For Semiconductor Electron Micrograph Analysis, by Sakhinana Sagar Srinivas et al.
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysisby Sakhinana Sagar Srinivas,…
Summary of The Mamba in the Llama: Distilling and Accelerating Hybrid Models, by Junxiong Wang et al.
The Mamba in the Llama: Distilling and Accelerating Hybrid Modelsby Junxiong Wang, Daniele Paliotta, Avner…