Summary of Faster Cascades Via Speculative Decoding, by Harikrishna Narasimhan et al.
Faster Cascades via Speculative Decodingby Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Seungyeon Kim, Neha…
Summary of Offline Regularised Reinforcement Learning For Large Language Models Alignment, by Pierre Harvey Richemond et al.
Offline Regularised Reinforcement Learning for Large Language Models Alignmentby Pierre Harvey Richemond, Yunhao Tang, Daniel…
Summary of Parameter-free Clipped Gradient Descent Meets Polyak, by Yuki Takezawa et al.
Parameter-free Clipped Gradient Descent Meets Polyakby Yuki Takezawa, Han Bao, Ryoma Sato, Kenta Niwa, Makoto…
Summary of An Automatic Prompt Generation System For Tabular Data Tasks, by Ashlesha Akella et al.
An Automatic Prompt Generation System for Tabular Data Tasksby Ashlesha Akella, Abhijit Manatkar, Brij Chavda,…
Summary of Utilizing Gpt to Enhance Text Summarization: a Strategy to Minimize Hallucinations, by Hassan Shakil et al.
Utilizing GPT to Enhance Text Summarization: A Strategy to Minimize Hallucinationsby Hassan Shakil, Zeydy Ortiz,…
Summary of Assessing Adversarial Robustness Of Large Language Models: An Empirical Study, by Zeyu Yang et al.
Assessing Adversarial Robustness of Large Language Models: An Empirical Studyby Zeyu Yang, Zhao Meng, Xiaochen…
Summary of Efficient Sample-specific Encoder Perturbations, by Yassir Fathullah et al.
Efficient Sample-Specific Encoder Perturbationsby Yassir Fathullah, Mark J. F. GalesFirst submitted to arxiv on: 1…
Summary of Language Model Cascades: Token-level Uncertainty and Beyond, by Neha Gupta et al.
Language Model Cascades: Token-level uncertainty and beyondby Neha Gupta, Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh…
Summary of Tldr at Semeval-2024 Task 2: T5-generated Clinical-language Summaries For Deberta Report Analysis, by Spandan Das et al.
TLDR at SemEval-2024 Task 2: T5-generated clinical-Language summaries for DeBERTa Report Analysisby Spandan Das, Vinay…
Summary of Concurrent Linguistic Error Detection (cled) For Large Language Models, by Jinhua Zhu et al.
Concurrent Linguistic Error Detection (CLED) for Large Language Modelsby Jinhua Zhu, Javier Conde, Zhen Gao,…