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Breaking the Ceiling of the LLM Community by Treating Token Generation
  as a Classification for Ensembling

Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling

18 June 2024
Yao-Ching Yu
Chun-Chih Kuo
Ziqi Ye
Yu-Cheng Chang
Yueh-Se Li
ArXivPDFHTML

Papers citing "Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling"

6 / 6 papers shown
Title
Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling
Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling
Yuxuan Yao
Han Wu
Mingyang Liu
Sichun Luo
Xiongwei Han
Jie Liu
Zhijiang Guo
Linqi Song
47
4
0
03 Oct 2024
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in
  the Era of Large Language Models
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models
Jinliang Lu
Ziliang Pang
Min Xiao
Yaochen Zhu
Rui Xia
Jiajun Zhang
MoMe
27
17
0
08 Jul 2024
Bridging the Gap between Different Vocabularies for LLM Ensemble
Bridging the Gap between Different Vocabularies for LLM Ensemble
Yangyifan Xu
Jinliang Lu
Jiajun Zhang
33
19
0
15 Apr 2024
The Falcon Series of Open Language Models
The Falcon Series of Open Language Models
Ebtesam Almazrouei
Hamza Alobeidli
Abdulaziz Alshamsi
Alessandro Cappelli
Ruxandra-Aimée Cojocaru
...
Quentin Malartic
Daniele Mazzotta
Badreddine Noune
B. Pannier
Guilherme Penedo
AI4TS
ALM
113
389
0
28 Nov 2023
How Language Model Hallucinations Can Snowball
How Language Model Hallucinations Can Snowball
Muru Zhang
Ofir Press
William Merrill
Alisa Liu
Noah A. Smith
HILM
LRM
78
246
0
22 May 2023
Learning to Cascade: Confidence Calibration for Improving the Accuracy
  and Computational Cost of Cascade Inference Systems
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems
Shohei Enomoto
Takeharu Eda
UQCV
29
16
0
15 Apr 2021
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