From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation

1 February 2025

Papers citing "From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation"

21 / 21 papers shown

Title
Reliable Text-to-SQL with Adaptive Abstention Kaiwen Chen Yueting Chen Xiaohui Yu Nick Koudas RALM 62 1 0 18 Jan 2025
In-Context Learning with Long-Context Models: An In-Depth Exploration Amanda Bertsch Maor Ivgi Uri Alon Jonathan Berant Matthew R. Gormley Matthew R. Gormley Graham Neubig ReLM AIMat 156 78 0 30 Apr 2024
Gecko: Versatile Text Embeddings Distilled from Large Language Models Jinhyuk Lee Zhuyun Dai Xiaoqi Ren Blair Chen Daniel Cer ... Aditya Kusupati Prateek Jain Siddhartha Reddy Jonnalagadda Ming-Wei Chang Iftekhar Naim RALM VLM SyDa 78 46 0 29 Mar 2024
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Zeyu Han Chao Gao Jinyang Liu Jeff Zhang Sai Qian Zhang 220 379 0 21 Mar 2024
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering Han Zhou Xingchen Wan Lev Proleev Diana Mincu Jilin Chen Katherine A. Heller Subhrajit Roy UQLM 45 59 0 29 Sep 2023
Universal Self-Adaptive Prompting Xingchen Wan Ruoxi Sun Hootan Nakhost H. Dai Julian Martin Eisenschlos Sercan O. Arik Tomas Pfister LRM 62 11 0 24 May 2023
Better Zero-Shot Reasoning with Self-Adaptive Prompting Xingchen Wan Ruoxi Sun H. Dai Sercan O. Arik Tomas Pfister ReLM OffRL LRM 45 52 0 23 May 2023
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs Jinyang Li Binyuan Hui Ge Qu Jiaxi Yang Binhua Li ... Guoliang Li Kevin C. C. Chang Fei Huang Reynold Cheng Yongbin Li LMTD 91 405 0 04 May 2023
In-Context Learning with Many Demonstration Examples Mukai Li Shansan Gong Jiangtao Feng Yiheng Xu Jinchao Zhang Zhiyong Wu Lingpeng Kong 80 38 0 09 Feb 2023
Diverse Demonstrations Improve In-context Compositional Generalization Itay Levy Ben Bogin Jonathan Berant 73 143 0 13 Dec 2022
Automatic Chain of Thought Prompting in Large Language Models Zhuosheng Zhang Aston Zhang Mu Li Alexander J. Smola ReLM LRM 141 618 0 07 Oct 2022
STaR: Bootstrapping Reasoning With Reasoning E. Zelikman Yuhuai Wu Jesse Mu Noah D. Goodman ReLM LRM 93 481 0 28 Mar 2022
Learning To Retrieve Prompts for In-Context Learning Ohad Rubin Jonathan Herzig Jonathan Berant VPVLM RALM 77 699 0 16 Dec 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 364 1,370 0 17 Jan 2021
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 697 41,736 0 28 May 2020
Scalarizing Functions in Bayesian Multiobjective Optimization Tinkle Chugh 38 35 0 11 Apr 2019
A Tutorial on Bayesian Optimization P. Frazier GP 104 1,782 0 08 Jul 2018
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 175 5,968 0 04 Mar 2017
Professor Forcing: A New Algorithm for Training Recurrent Networks Alex Lamb Anirudh Goyal Ying Zhang Saizheng Zhang Aaron Courville Yoshua Bengio GAN 119 594 0 27 Oct 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 264 19,929 0 07 Oct 2016
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 297 7,279 0 20 Dec 2013