Summary of Reinforcement Learning From Llm Feedback to Counteract Goal Misgeneralization, by Houda Nait El Barj et al.
Reinforcement Learning from LLM Feedback to Counteract Goal Misgeneralizationby Houda Nait El Barj, Theophile SautoryFirst…
Summary of Epilepsyllm: Domain-specific Large Language Model Fine-tuned with Epilepsy Medical Knowledge, by Xuyang Zhao and Qibin Zhao and Toshihisa Tanaka
EpilepsyLLM: Domain-Specific Large Language Model Fine-tuned with Epilepsy Medical Knowledgeby Xuyang Zhao, Qibin Zhao, Toshihisa…
Summary of Towards Conversational Diagnostic Ai, by Tao Tu et al.
Towards Conversational Diagnostic AIby Tao Tu, Anil Palepu, Mike Schaekermann, Khaled Saab, Jan Freyberg, Ryutaro…
Summary of Can Active Label Correction Improve Llm-based Modular Ai Systems?, by Karan Taneja and Ashok Goel
Can Active Label Correction Improve LLM-based Modular AI Systems?by Karan Taneja, Ashok GoelFirst submitted to…
Summary of How Predictable Is Language Model Benchmark Performance?, by David Owen
How predictable is language model benchmark performance?by David OwenFirst submitted to arxiv on: 9 Jan…
Summary of Vllavo: Mitigating Visual Gap Through Llms, by Shuhao Chen et al.
VLLaVO: Mitigating Visual Gap through LLMsby Shuhao Chen, Yulong Zhang, Weisen Jiang, Jiangang Lu, Yu…
Summary of Self-supervised Position Debiasing For Large Language Models, by Zhongkun Liu et al.
Self-Supervised Position Debiasing for Large Language Modelsby Zhongkun Liu, Zheng Chen, Mengqi Zhang, Zhaochun Ren,…
Summary of Large Language Models Aren’t All That You Need, by Kiran Voderhobli Holla et al.
Large Language Models aren’t all that you needby Kiran Voderhobli Holla, Chaithanya Kumar, Aryan SinghFirst…
Summary of Allspark: a Multimodal Spatio-temporal General Intelligence Model with Ten Modalities Via Language As a Reference Framework, by Run Shao et al.
AllSpark: A Multimodal Spatio-Temporal General Intelligence Model with Ten Modalities via Language as a Reference…