Summary of Semi-supervised Concept Bottleneck Models, by Lijie Hu et al.
Semi-supervised Concept Bottleneck Modelsby Lijie Hu, Tianhao Huang, Huanyi Xie, Chenyang Ren, Zhengyu Hu, Lu…
Semi-supervised Concept Bottleneck Modelsby Lijie Hu, Tianhao Huang, Huanyi Xie, Chenyang Ren, Zhengyu Hu, Lu…
Alignment For Performance Improvement in Conversation Botsby Raghav Garg, Kapil Sharma, Shrey SinglaFirst submitted to…
FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneityby Zhaobin Sun, Nannan Wu, Junjie Shi,…
RouteLLM: Learning to Route LLMs with Preference Databy Isaac Ong, Amjad Almahairi, Vincent Wu, Wei-Lin…
Few-shot Personalization of LLMs with Mis-aligned Responsesby Jaehyung Kim, Yiming YangFirst submitted to arxiv on:…
The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harmby Aakanksha, Arash Ahmadian,…
Learning to Correct for QA Reasoning with Black-box LLMsby Jaehyung Kim, Dongyoung Kim, Yiming YangFirst…
Fast Optimizer Benchmarkby Simon Blauth, Tobias Bürger, Zacharias Häringer, Jörg Franke, Frank HutterFirst submitted to…
Learn it or Leave it: Module Composition and Pruning for Continual Learningby Mingyang Wang, Heike…
Decentralized Semantic Traffic Control in AVs Using RL and DQN for Dynamic Roadblocksby Emanuel Figetakis,…