Large Language Models are Good Multi-lingual Learners : When LLMs Meet Cross-lingual Prompts

Language models are few-shot learners

Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 1901

Earlier work this paper cites.

Exceptional paper—location of bank accounts to optimize float: An analytic study of exact and approximate algorithms

Gerard Cornuejols, Marshall L Fisher, and George L Nemhauser. 1977 · 1977

Earlier work this paper cites.

Set covering algorithms using cutting planes, heuristics, and subgradient optimization: A computational study

Egon Balas and Andrew Ho. 1980 · 1980

Earlier work this paper cites.

Heuristic bounds and test problem generation for the time-dependent traveling salesman problem

Russ J Vander Wiel and Nikolaos V Sahinidis. 1995 · 1995

Earlier work this paper cites.

On the facets of the mixed–integer knapsack polyhedron

Alper Atamtürk. 2003 · 2003

Earlier work this paper cites.

The Traveling Salesman Problem: A Computational Study

David L Applegate, Robert E Bixby, Vašek Chvátal, and William J Cook. 2006 · 2006

Earlier work this paper cites.

Mixed integer programming formulations for single machine scheduling problems

Ahmet B. Keha, Ketan Khowala, and John W. Fowler. 2009 · 2009

Earlier work this paper cites.

Mip reformulations of the probabilistic set covering problem

Vineet Goyal Anureet Saxena and Miguel A. Lejeune. 2010 · 2010

Earlier work this paper cites.

Scheduling in Supply Chains Using Mixed Integer Programming

Tadeusz Sawik. 2011 · 2011

Earlier work this paper cites.

Solving mixed-integer quadratic programming problems with ibm-cplex: a progress report

Christian Bliek1ú, Pierre Bonami, and Andrea Lodi. 2014 · 2014

Earlier work this paper cites.

Teaching machines to read and comprehend

Karl Moritz Hermann, Tomás Kociský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015 · 2015

Earlier work this paper cites.

A comparative analysis of optimization solvers

Divya Aggarwal Rimmi Anand and Vijay Kumar. 2017 · 2017

Earlier work this paper cites.

The NarrativeQA Reading Comprehension Challenge

Tomáš Kočiský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, and Edward Grefenstette. 2018 · 2018

Earlier work this paper cites.

Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task

Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, et al. 2018 · 2018

Earlier work this paper cites.

What’s new in gurobi 9.0

Tobias Achterberg. 2019 · 2019

Earlier work this paper cites.

Bagged support vector machines for emotion recognition from speech

Anjali Bhavan, Pankaj Chauhan, Rajiv Ratn Shah, et al. 2019 · 2019

Earlier work this paper cites.

A mixed integer linear programming formulation for green vehicle routing problem: Case for shuttle services

Selin Hulagu and Hilmi Berk Celikoglu. 2020 · 2019

Cited alongside, same era.

Diederik P. Kingma and Max Welling. 2019

2019

Cited alongside, same era.

Glm: General language model pretraining with autoregressive blank infilling

Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, and Jie Tang. 2022 · 2022

Cited alongside, same era.

Chain-of-thought prompting elicits reasoning in large language models

Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou. 2022 · 2022

Cited alongside, same era.

Opt: Open pre-trained transformer language models

Original

Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona Diab, Xian Li, Xi Victoria Lin, et al. 2022 · 2022

Cited alongside, same era.

Wizardlm: Empowering large language models to follow complex instructions

Original

Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, and Daxin Jiang. 2023 · 2023

Later among the works it cites.

Nemotron-4 340b technical report

Original

Bo Adler, Niket Agarwal, Ashwath Aithal, Dong H Anh, Pallab Bhattacharya, Annika Brundyn, Jared Casper, Bryan Catanzaro, Sharon Clay, Jonathan Cohen, et al. 2024 · 2024

Closest in time.

Graph of thoughts: Solving elaborate problems with large language models

Maciej Besta, Nils Blach, Ales Kubicek, Robert Gerstenberger, Michal Podstawski, Lukas Gianinazzi, Joanna Gajda, Tomasz Lehmann, Hubert Niewiadomski, Piotr Nyczyk, and Torsten Hoefler. 2024 · 2024

Closest in time.

Spider2-v: How far are multimodal agents from automating data science and engineering workflows?

Original

Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Yuchen Mao, Wenjing Hu, et al. 2024 · 2024

Closest in time.