Summary of Binary Classifier Optimization For Large Language Model Alignment, by Seungjae Jung et al.
Binary Classifier Optimization for Large Language Model Alignmentby Seungjae Jung, Gunsoo Han, Daniel Wontae Nam,…
Summary of Transform Then Explore: a Simple and Effective Technique For Exploratory Combinatorial Optimization with Reinforcement Learning, by Tianle Pu et al.
Transform then Explore: a Simple and Effective Technique for Exploratory Combinatorial Optimization with Reinforcement Learningby…
Summary of Learning Minimal Neural Specifications, by Chuqin Geng et al.
Learning Minimal Neural Specificationsby Chuqin Geng, Zhaoyue Wang, Haolin Ye, Xujie SiFirst submitted to arxiv…
Summary of Designing For Human-agent Alignment: Understanding What Humans Want From Their Agents, by Nitesh Goyal et al.
Designing for Human-Agent Alignment: Understanding what humans want from their agentsby Nitesh Goyal, Minsuk Chang,…
Summary of Investigating Regularization Of Self-play Language Models, by Reda Alami et al.
Investigating Regularization of Self-Play Language Modelsby Reda Alami, Abdalgader Abubaker, Mastane Achab, Mohamed El Amine…
Summary of Transducers with Pronunciation-aware Embeddings For Automatic Speech Recognition, by Hainan Xu et al.
Transducers with Pronunciation-aware Embeddings for Automatic Speech Recognitionby Hainan Xu, Zhehuai Chen, Fei Jia, Boris…
Summary of Self-[in]correct: Llms Struggle with Discriminating Self-generated Responses, by Dongwei Jiang et al.
SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responsesby Dongwei Jiang, Jingyu Zhang, Orion Weller, Nathaniel Weir,…
Summary of Visual Knowledge in the Big Model Era: Retrospect and Prospect, by Wenguan Wang et al.
Visual Knowledge in the Big Model Era: Retrospect and Prospectby Wenguan Wang, Yi Yang, Yunhe…
Summary of A Real-time Anomaly Detection Using Convolutional Autoencoder with Dynamic Threshold, by Sarit Maitra et al.
A Real-time Anomaly Detection Using Convolutional Autoencoder with Dynamic Thresholdby Sarit Maitra, Sukanya Kundu, Aishwarya…
Summary of Half-space Feature Learning in Neural Networks, by Mahesh Lorik Yadav et al.
Half-Space Feature Learning in Neural Networksby Mahesh Lorik Yadav, Harish Guruprasad Ramaswamy, Chandrashekar LakshminarayananFirst submitted…