Summary of Data-prep-kit: Getting Your Data Ready For Llm Application Development, by David Wood et al.
Data-Prep-Kit: getting your data ready for LLM application developmentby David Wood, Boris Lublinsky, Alexy Roytman,…
Data-Prep-Kit: getting your data ready for LLM application developmentby David Wood, Boris Lublinsky, Alexy Roytman,…
DisGeM: Distractor Generation for Multiple Choice Questions with Span Maskingby Devrim Cavusoglu, Secil Sen, Ulas…
BEATS: Optimizing LLM Mathematical Capabilities with BackVerify and Adaptive Disambiguate based Efficient Tree Searchby Linzhuang…
MIO: A Foundation Model on Multimodal Tokensby Zekun Wang, King Zhu, Chunpu Xu, Wangchunshu Zhou,…
On the Implicit Relation Between Low-Rank Adaptation and Differential Privacyby Saber Malekmohammadi, Golnoosh FarnadiFirst submitted…
Pixel-Space Post-Training of Latent Diffusion Modelsby Christina Zhang, Simran Motwani, Matthew Yu, Ji Hou, Felix…
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularizationby Yao Ni, Shan Zhang, Piotr KoniuszFirst…
First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating Robustness of Vision Foundation Models…
Adaptive Self-Supervised Learning Strategies for Dynamic On-Device LLM Personalizationby Rafael Mendoza, Isabella Cruz, Richard Liu,…
Counterfactual Token Generation in Large Language Modelsby Ivi Chatzi, Nina Corvelo Benz, Eleni Straitouri, Stratis…