Summary of Robust Agents Learn Causal World Models, by Jonathan Richens et al.
Robust agents learn causal world modelsby Jonathan Richens, Tom EverittFirst submitted to arxiv on: 16…
Summary of Explainability For Machine Learning Models: From Data Adaptability to User Perception, by Julien Delaunay
Explainability for Machine Learning Models: From Data Adaptability to User Perceptionby julien DelaunayFirst submitted to…
Summary of Multi-modal Preference Alignment Remedies Degradation Of Visual Instruction Tuning on Language Models, by Shengzhi Li et al.
Multi-modal Preference Alignment Remedies Degradation of Visual Instruction Tuning on Language Modelsby Shengzhi Li, Rongyu…
Summary of Active Preference Optimization For Sample Efficient Rlhf, by Nirjhar Das et al.
Active Preference Optimization for Sample Efficient RLHFby Nirjhar Das, Souradip Chakraborty, Aldo Pacchiano, Sayak Ray…
Summary of Can Transformers Predict Vibrations?, by Fusataka Kuniyoshi et al.
Can Transformers Predict Vibrations?by Fusataka Kuniyoshi, Yoshihide SawadaFirst submitted to arxiv on: 16 Feb 2024CategoriesMain:…
Summary of Any-precision Llm: Low-cost Deployment Of Multiple, Different-sized Llms, by Yeonhong Park et al.
Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMsby Yeonhong Park, Jake Hyun, SangLyul Cho, Bonggeun…
Summary of Properties and Challenges Of Llm-generated Explanations, by Jenny Kunz et al.
Properties and Challenges of LLM-Generated Explanationsby Jenny Kunz, Marco KuhlmannFirst submitted to arxiv on: 16…
Summary of Personalised Drug Identifier For Cancer Treatment with Transformers Using Auxiliary Information, by Aishwarya Jayagopal et al.
Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Informationby Aishwarya Jayagopal, Hansheng Xue,…
Summary of Direct Preference Optimization with An Offset, by Afra Amini et al.
Direct Preference Optimization with an Offsetby Afra Amini, Tim Vieira, Ryan CotterellFirst submitted to arxiv…
Summary of Optimizing Adaptive Experiments: a Unified Approach to Regret Minimization and Best-arm Identification, by Chao Qin et al.
Optimizing Adaptive Experiments: A Unified Approach to Regret Minimization and Best-Arm Identificationby Chao Qin, Daniel…