Summary of Gw-moe: Resolving Uncertainty in Moe Router with Global Workspace Theory, by Haoze Wu et al.
GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace Theoryby Haoze Wu, Zihan Qiu, Zili…
Summary of Webcanvas: Benchmarking Web Agents in Online Environments, by Yichen Pan et al.
WebCanvas: Benchmarking Web Agents in Online Environmentsby Yichen Pan, Dehan Kong, Sida Zhou, Cheng Cui,…
Summary of Qog:question and Options Generation Based on Language Model, by Jincheng Zhou
QOG:Question and Options Generation based on Language Modelby Jincheng ZhouFirst submitted to arxiv on: 18…
Summary of Trol: Traversal Of Layers For Large Language and Vision Models, by Byung-kwan Lee et al.
TroL: Traversal of Layers for Large Language and Vision Modelsby Byung-Kwan Lee, Sangyun Chung, Chae…
Summary of Not Eliminate but Aggregate: Post-hoc Control Over Mixture-of-experts to Address Shortcut Shifts in Natural Language Understanding, by Ukyo Honda et al.
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language…
Summary of Multi-dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint, by Xinglong Sun et al.
Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraintby Xinglong Sun, Barath Lakshmanan,…
Summary of Adding Conditional Control to Diffusion Models with Reinforcement Learning, by Yulai Zhao et al.
Adding Conditional Control to Diffusion Models with Reinforcement Learningby Yulai Zhao, Masatoshi Uehara, Gabriele Scalia,…
Summary of Soft Prompting For Unlearning in Large Language Models, by Karuna Bhaila et al.
Soft Prompting for Unlearning in Large Language Modelsby Karuna Bhaila, Minh-Hao Van, Xintao WuFirst submitted…
Summary of Unraveling the Mechanics Of Learning-based Demonstration Selection For In-context Learning, by Hui Liu et al.
Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learningby Hui Liu, Wenya Wang, Hao…
Summary of A Semantic-aware Layer-freezing Approach to Computation-efficient Fine-tuning Of Language Models, by Jian Gu et al.
A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Modelsby Jian Gu, Aldeida Aleti, Chunyang…