Summary of Regression-aware Inference with Llms, by Michal Lukasik et al.
Regression-aware Inference with LLMsby Michal Lukasik, Harikrishna Narasimhan, Aditya Krishna Menon, Felix Yu, Sanjiv KumarFirst…
Regression-aware Inference with LLMsby Michal Lukasik, Harikrishna Narasimhan, Aditya Krishna Menon, Felix Yu, Sanjiv KumarFirst…
Non-autoregressive Sequence-to-Sequence Vision-Language Modelsby Kunyu Shi, Qi Dong, Luis Goncalves, Zhuowen Tu, Stefano SoattoFirst submitted…
CLLMs: Consistency Large Language Modelsby Siqi Kou, Lanxiang Hu, Zhezhi He, Zhijie Deng, Hao ZhangFirst…
SyntaxShap: Syntax-aware Explainability Method for Text Generationby Kenza Amara, Rita Sevastjanova, Mennatallah El-AssadyFirst submitted to…
Tandem Transformers for Inference Efficient LLMsby Aishwarya P S, Pranav Ajit Nair, Yashas Samaga, Toby…
PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognitionby Jinghui Lu, Ziwei Yang,…
Alirector: Alignment-Enhanced Chinese Grammatical Error Correctorby Haihui Yang, Xiaojun QuanFirst submitted to arxiv on: 7…
Incoherent Probability Judgments in Large Language Modelsby Jian-Qiao Zhu, Thomas L. GriffithsFirst submitted to arxiv…
JumpCoder: Go Beyond Autoregressive Coder via Online Modificationby Mouxiang Chen, Hao Tian, Zhongxin Liu, Xiaoxue…
Can AI Be as Creative as Humans?by Haonan Wang, James Zou, Michael Mozer, Anirudh Goyal,…