Summary of Prompt-based Bias Calibration For Better Zero/few-shot Learning Of Language Models, by Kang He et al.
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Modelsby Kang He, Yinghan Long, Kaushik…
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Modelsby Kang He, Yinghan Long, Kaushik…
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Datasetby Shubham Toshniwal, Ivan Moshkov, Sean Narenthiran, Daria…
PAL: Proxy-Guided Black-Box Attack on Large Language Modelsby Chawin Sitawarin, Norman Mu, David Wagner, Alexandre…
API Pack: A Massive Multi-Programming Language Dataset for API Call Generationby Zhen Guo, Adriana Meza…
MaxMin-RLHF: Alignment with Diverse Human Preferencesby Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Furong…
Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Modelsby Martha…
BBox-Adapter: Lightweight Adapting for Black-Box Large Language Modelsby Haotian Sun, Yuchen Zhuang, Wei Wei, Chao…
How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?by Ryan Liu, Theodore R.…
Natural Language Reinforcement Learningby Xidong Feng, Ziyu Wan, Mengyue Yang, Ziyan Wang, Girish A. Koushik,…
Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical…