Summary of Laser: Learning to Adaptively Select Reward Models with Multi-armed Bandits, by Duy Nguyen et al.
LASeR: Learning to Adaptively Select Reward Models with Multi-Armed Banditsby Duy Nguyen, Archiki Prasad, Elias…
Summary of Mio: a Foundation Model on Multimodal Tokens, by Zekun Wang et al.
MIO: A Foundation Model on Multimodal Tokensby Zekun Wang, King Zhu, Chunpu Xu, Wangchunshu Zhou,…
Summary of Unlocking Memorization in Large Language Models with Dynamic Soft Prompting, by Zhepeng Wang et al.
Unlocking Memorization in Large Language Models with Dynamic Soft Promptingby Zhepeng Wang, Runxue Bao, Yawen…
Summary of Asft: Aligned Supervised Fine-tuning Through Absolute Likelihood, by Ruoyu Wang et al.
ASFT: Aligned Supervised Fine-Tuning through Absolute Likelihoodby Ruoyu Wang, Jiachen Sun, Shaowei Hua, Quan FangFirst…
Summary of On the Generalizability Of Foundation Models For Crop Type Mapping, by Yi-chia Chang et al.
On the Generalizability of Foundation Models for Crop Type Mappingby Yi-Chia Chang, Adam J. Stewart,…
Summary of Transformer with Controlled Attention For Synchronous Motion Captioning, by Karim Radouane and Sylvie Ranwez and Julien Lagarde and Andon Tchechmedjiev
Transformer with Controlled Attention for Synchronous Motion Captioningby Karim Radouane, Sylvie Ranwez, Julien Lagarde, Andon…
Summary of Adversarial Attacks on Data Attribution, by Xinhe Wang et al.
Adversarial Attacks on Data Attributionby Xinhe Wang, Pingbang Hu, Junwei Deng, Jiaqi W. MaFirst submitted…
Summary of Llms Will Always Hallucinate, and We Need to Live with This, by Sourav Banerjee et al.
LLMs Will Always Hallucinate, and We Need to Live With Thisby Sourav Banerjee, Ayushi Agarwal,…
Summary of Loca: Logit Calibration For Knowledge Distillation, by Runming Yang et al.
LoCa: Logit Calibration for Knowledge Distillationby Runming Yang, Taiqiang Wu, Yujiu YangFirst submitted to arxiv…
Summary of Masked Diffusion Models Are Secretly Time-agnostic Masked Models and Exploit Inaccurate Categorical Sampling, by Kaiwen Zheng et al.
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Samplingby Kaiwen Zheng,…