Summary of Prompt-based Length Controlled Generation with Reinforcement Learning, by Renlong Jie et al.
Prompt-Based Length Controlled Generation with Reinforcement Learningby Renlong Jie, Xiaojun Meng, Lifeng Shang, Xin Jiang,…
Summary of Safety and Performance, Why Not Both? Bi-objective Optimized Model Compression Toward Ai Software Deployment, by Jie Zhu et al.
Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deploymentby Jie…
Summary of Adversarial Transformer Language Models For Contextual Commonsense Inference, by Pedro Colon-hernandez et al.
Adversarial Transformer Language Models for Contextual Commonsense Inferenceby Pedro Colon-Hernandez, Henry Lieberman, Yida Xin, Claire…
Summary of Iterative Geometry Encoding Volume For Stereo Matching, by Gangwei Xu et al.
Iterative Geometry Encoding Volume for Stereo Matchingby Gangwei Xu, Xianqi Wang, Xiaohuan Ding, Xin YangFirst…
Summary of Aviary: Training Language Agents on Challenging Scientific Tasks, by Siddharth Narayanan et al.
Aviary: training language agents on challenging scientific tasksby Siddharth Narayanan, James D. Braza, Ryan-Rhys Griffiths,…
Summary of A Unified Framework For Entropy Search and Expected Improvement in Bayesian Optimization, by Nuojin Cheng et al.
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimizationby Nuojin Cheng, Leonard…
Summary of Grit: Faster and Better Image Captioning Transformer Using Dual Visual Features, by Van-quang Nguyen et al.
GRIT: Faster and Better Image captioning Transformer Using Dual Visual Featuresby Van-Quang Nguyen, Masanori Suganuma,…
Summary of Efficiently Serving Llm Reasoning Programs with Certaindex, by Yichao Fu et al.
Efficiently Serving LLM Reasoning Programs with Certaindexby Yichao Fu, Junda Chen, Siqi Zhu, Zheyu Fu,…
Summary of Weber-fechner Law in Temporal Difference Learning Derived From Control As Inference, by Keiichiro Takahashi et al.
Weber-Fechner Law in Temporal Difference learning derived from Control as Inferenceby Keiichiro Takahashi, Taisuke Kobayashi,…
Summary of Frequency-masked Embedding Inference: a Non-contrastive Approach For Time Series Representation Learning, by En Fu et al.
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learningby En Fu, Yanyan HuFirst…