LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks

14 June 2022

Dimitris Papailiopoulos

Kangwook Lee

LMTD

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Papers citing "LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks"

31 / 31 papers shown

Title
Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Ruxue Shi Hengrui Gu Xu Shen Xin Wang LMTD 63 0 0 09 May 2025
Large Language Models as Attribution Regularizers for Efficient Model Training Davor Vukadin Marin Šilić Goran Delač 36 0 0 27 Feb 2025
Zero-Shot Decision Tree Construction via Large Language Models Lucas Carrasco Felipe Urrutia Andrés Abeliuk 58 0 0 28 Jan 2025
Transfer Learning of Tabular Data by Finetuning Large Language Models S. B. Rabbani Ibna Kowsar Manar D. Samad LMTD 44 1 0 12 Jan 2025
ELICIT: LLM Augmentation via External In-Context Capability Futing Wang Jianhao Yan Yue Zhang Tao Lin 35 0 0 12 Oct 2024
SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems Patrick Emami Zhaonan Li Saumya Sinha Truc Nguyen 48 1 0 30 May 2024
Labrador: Exploring the Limits of Masked Language Modeling for Laboratory Data David R. Bellamy Bhawesh Kumar Cindy Wang Andrew L. Beam MedIm 19 3 0 09 Dec 2023
Large Language Models as General Pattern Machines Suvir Mirchandani F. Xia Peter R. Florence Brian Ichter Danny Driess Montse Gonzalez Arenas Kanishka Rao Dorsa Sadigh Andy Zeng LLMAG 37 183 0 10 Jul 2023
Bayesian Optimization of Catalysts With In-context Learning M. C. Ramos Shane S. Michtavy Marc D. Porosoff Andrew D. White BDL 21 30 0 11 Apr 2023
Adapting Pretrained Language Models for Solving Tabular Prediction Problems in the Electronic Health Record C. McMaster D. Liew Douglas E. V. Pires 22 4 0 27 Mar 2023
TabLLM: Few-shot Classification of Tabular Data with Large Language Models S. Hegselmann Alejandro Buendia Hunter Lang Monica Agrawal Xiaoyi Jiang David Sontag LMTD 27 208 0 19 Oct 2022
Language Models are Realistic Tabular Data Generators V. Borisov Kathrin Seßler Tobias Leemann Martin Pawelczyk Gjergji Kasneci LMTD 11 221 0 12 Oct 2022
PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting Hao Xue Flora D.Salim AI4TS 11 135 0 20 Sep 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 186 1,098 0 10 Sep 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes Shivam Garg Dimitris Tsipras Percy Liang Gregory Valiant 17 446 0 01 Aug 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 236 780 0 14 Oct 2021
Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking Nikita Moghe Mark Steedman Alexandra Birch 19 13 0 28 Sep 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 274 1,114 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 3,683 0 11 Feb 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,296 0 17 Jan 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar S. Karnin ViT LMTD 140 412 0 11 Dec 2020
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation Alexander R. Fabbri Simeng Han Haoyuan Li Haoran Li Marjan Ghazvininejad Shafiq R. Joty Dragomir R. Radev Yashar Mehdad 116 93 0 24 Oct 2020
Unified Vision-Language Pre-Training for Image Captioning and VQA Luowei Zhou Hamid Palangi Lei Zhang Houdong Hu Jason J. Corso Jianfeng Gao MLLM VLM 250 922 0 24 Sep 2019
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 83 290 0 13 Sep 2019
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 204 607 0 03 Sep 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 253 3,102 0 04 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015