GPT Understands, Too

18 March 2021

Xiao Liu

Papers citing "GPT Understands, Too"

50 / 612 papers shown

Title
DialCLIP: Empowering CLIP as Multi-Modal Dialog Retriever Zhichao Yin Binyuan Hui Min Yang Fei Huang Yongbin Li VLM 33 3 0 02 Jan 2024
Parameter Efficient Tuning Allows Scalable Personalization of LLMs for Text Entry: A Case Study on Abbreviation Expansion Katrin Tomanek Shanqing Cai Subhashini Venugopalan 27 1 0 21 Dec 2023
DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation Brian Nlong Zhao Yuhang Xiao Jiashu Xu Xinyang Jiang Yifan Yang Dongsheng Li Laurent Itti Vibhav Vineet Yunhao Ge VLM 99 7 0 21 Dec 2023
Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment Lingling Xu Haoran Xie S. J. Qin Xiaohui Tao F. Wang 30 130 0 19 Dec 2023
A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis Jingyi Zhou Jie Zhou Jiabao Zhao Siyin Wang Haijun Shan Gui Tao Qi Zhang Xuanjing Huang LLMAG VLM 22 4 0 16 Dec 2023
Exploration of visual prompt in Grounded pre-trained open-set detection Qibo Chen Weizhong Jin Shuchang Li Mengdi Liu Li Yu Jian Jiang Xiaozheng Wang VLM 13 0 0 14 Dec 2023
Helping Language Models Learn More: Multi-dimensional Task Prompt for Few-shot Tuning Jinta Weng Jiarui Zhang Yue Hu Daidong Fa Xiaofeng Xu Heyan Huang 16 1 0 13 Dec 2023
Designing with Language: Wireframing UI Design Intent with Generative Large Language Models Sidong Feng Mingyue Yuan Jieshan Chen Zhenchang Xing Chunyang Chen AI4CE 3DV 19 7 0 12 Dec 2023
Toward a Reinforcement-Learning-Based System for Adjusting Medication to Minimize Speech Disfluency Pavlos Constas Vikram Rawal Matthew Honorio Oliveira Andreas Constas Aditya Khan ... Heraa Murqi Asad Khan Nimit Amikumar Bhanshali Youssef Rachad Michael Guerzhoy OffRL 13 0 0 12 Dec 2023
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes Zhen Qin Daoyuan Chen Bingchen Qian Bolin Ding Yaliang Li Shuiguang Deng FedML 32 32 0 11 Dec 2023
PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching Zhenting Qi Xiaoyu Tan Shaojie Shi Chao Qu Yinghui Xu Yuan Qi ALM 35 10 0 09 Dec 2023
Prompt Optimization via Adversarial In-Context Learning Do Xuan Long Yiran Zhao Hannah Brown Yuxi Xie James Xu Zhao Nancy F. Chen Kenji Kawaguchi Michael Qizhe Xie Junxian He 55 11 0 05 Dec 2023
ASPEN: High-Throughput LoRA Fine-Tuning of Large Language Models with a Single GPU Zhengmao Ye Dengchun Li Jingqi Tian Tingfeng Lan Jie Zuo ... Hui Lu Yexi Jiang Jian Sha Ke Zhang Mingjie Tang 91 5 0 05 Dec 2023
Prompting Disentangled Embeddings for Knowledge Graph Completion with Pre-trained Language Model Yuxia Geng Jiaoyan Chen Yuhang Zeng Zhuo Chen Wen Zhang Jeff Z. Pan Yuxiang Wang Xiaoliang Xu 42 2 0 04 Dec 2023
The Cost of Compression: Investigating the Impact of Compression on Parametric Knowledge in Language Models Srinath Namburi Makesh Narsimhan Sreedhar Srinath Srinivasan Frederic Sala MQ 26 8 0 01 Dec 2023
Adversarial Score Distillation: When score distillation meets GAN Min Wei Jingkai Zhou Junyao Sun Xuesong Zhang DiffM 13 8 0 01 Dec 2023
AviationGPT: A Large Language Model for the Aviation Domain Liya Wang Jason Chou Xin Zhou A. Tien Diane M. Baumgartner 19 7 0 29 Nov 2023
A Survey on Prompting Techniques in LLMs Prabin Bhandari 24 6 0 28 Nov 2023
A Survey of the Evolution of Language Model-Based Dialogue Systems Hongru Wang Lingzhi Wang Yiming Du Liang Chen Jing Zhou Yufei Wang Kam-Fai Wong LRM 49 20 0 28 Nov 2023
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs Xingtong Yu Zhenghao Liu Yuan Fang Zemin Liu Sihong Chen Xinming Zhang 33 24 0 26 Nov 2023
Towards Better Parameter-Efficient Fine-Tuning for Large Language Models: A Position Paper Chengyu Wang Junbing Yan Wei Zhang Jun Huang ALM 32 3 0 22 Nov 2023
XplainLLM: A QA Explanation Dataset for Understanding LLM Decision-Making Zichen Chen Jianda Chen Mitali Gaidhani Ambuj K. Singh Misha Sra 25 4 0 15 Nov 2023
Plum: Prompt Learning using Metaheuristic Rui Pan Shuo Xing Shizhe Diao Wenhe Sun Xiang Liu Kashun Shum Renjie Pi Jipeng Zhang Tong Zhang VLM OffRL LRM 29 6 0 14 Nov 2023
ExpNote: Black-box Large Language Models are Better Task Solvers with Experience Notebook Wangtao Sun Xuanqing Yu Shizhu He Jun Zhao Kang Liu LRM 13 1 0 13 Nov 2023
Tunable Soft Prompts are Messengers in Federated Learning Chenhe Dong Yuexiang Xie Bolin Ding Ying Shen Yaliang Li FedML 38 7 0 12 Nov 2023
Cross-modal Prompts: Adapting Large Pre-trained Models for Audio-Visual Downstream Tasks Haoyi Duan Yan Xia Mingze Zhou Li Tang Jieming Zhu Zhou Zhao VLM 16 17 0 09 Nov 2023
On the steerability of large language models toward data-driven personas Junyi Li Ninareh Mehrabi Charith Peris Palash Goyal Kai-Wei Chang Aram Galstyan Richard Zemel Rahul Gupta 18 29 0 08 Nov 2023
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training Jiale Cheng Xiao Liu Kehan Zheng Pei Ke Hongning Wang Yuxiao Dong Jie Tang Minlie Huang 29 78 0 07 Nov 2023
S-LoRA: Serving Thousands of Concurrent LoRA Adapters Ying Sheng Shiyi Cao Dacheng Li Coleman Hooper Nicholas Lee ... Banghua Zhu Lianmin Zheng Kurt Keutzer Joseph E. Gonzalez Ion Stoica MoE 26 87 0 06 Nov 2023
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch Le Yu Yu Bowen Haiyang Yu Fei Huang Yongbin Li MoMe 28 266 0 06 Nov 2023
CogVLM: Visual Expert for Pretrained Language Models Weihan Wang Qingsong Lv Wenmeng Yu Wenyi Hong Ji Qi ... Bin Xu Juanzi Li Yuxiao Dong Ming Ding Jie Tang VLM MLLM 17 445 0 06 Nov 2023
Improving Prompt Tuning with Learned Prompting Layers Wei Zhu Ming Tan VLM 23 1 0 31 Oct 2023
Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone Zeyinzi Jiang Chaojie Mao Ziyuan Huang Ao Ma Yiliang Lv Yujun Shen Deli Zhao Jingren Zhou 30 15 0 30 Oct 2023
MPrompt: Exploring Multi-level Prompt Tuning for Machine Reading Comprehension Guoxin Chen Yiming Qian Bowen Wang Liangzhi Li 18 7 0 27 Oct 2023
PAC-tuning:Fine-tuning Pretrained Language Models with PAC-driven Perturbed Gradient Descent Guang-Da Liu Zhiyu Xue Xitong Zhang K. Johnson Rongrong Wang 20 5 0 26 Oct 2023
Dialect Adaptation and Data Augmentation for Low-Resource ASR: TalTech Systems for the MADASR 2023 Challenge Tanel Alumäe Jiaming Kong Daniil Robnikov 6 2 0 26 Oct 2023
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models Yuanfeng Song Yuanqin He Xuefang Zhao Hanlin Gu Di Jiang Haijun Yang Lixin Fan Qiang Yang 30 3 0 24 Oct 2023
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization Tianshi Che Ji Liu Yang Zhou Jiaxiang Ren Jiwen Zhou Victor S. Sheng H. Dai Dejing Dou 23 50 0 23 Oct 2023
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt Mouxiang Chen Zemin Liu Chenghao Liu Jundong Li Qiheng Mao Jianling Sun AAML 25 11 0 23 Oct 2023
Prefix-Tuning Based Unsupervised Text Style Transfer Huiyu Mai Wenhao Jiang Zhihong Deng 9 4 0 23 Oct 2023
PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain Wei-wei Zhu Xiaoling Wang Huanran Zheng Mosha Chen Buzhou Tang ELM LM&MA 21 33 0 22 Oct 2023
Co $^2$ PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning Xiangjue Dong Ziwei Zhu Zhuoer Wang Maria Teleki James Caverlee 39 11 0 19 Oct 2023
PoisonPrompt: Backdoor Attack on Prompt-based Large Language Models Hongwei Yao Jian Lou Zhan Qin SILM AAML 49 30 0 19 Oct 2023
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding Jianing Wang Qiushi Sun Nuo Chen Chengyu Wang Jun Huang Ming Gao Xiang Li UQLM 21 3 0 19 Oct 2023
Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding Caoyun Fan Jidong Tian Yitian Li Wenqing Chen Hao He Yaohui Jin LRM 27 3 0 18 Oct 2023
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs Jiefeng Chen Jinsung Yoon Sayna Ebrahimi Sercan Ö. Arik Tomas Pfister Somesh Jha 16 31 0 18 Oct 2023
Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language Models Yilmazcan Ozyurt Stefan Feuerriegel Ce Zhang 18 1 0 17 Oct 2023
Heterogenous Memory Augmented Neural Networks Zihan Qiu Zhen Liu Shuicheng Yan Shanghang Zhang Jie Fu 11 0 0 17 Oct 2023
Decomposed Prompt Tuning via Low-Rank Reparameterization Yao Xiao Lu Xu Jiaxi Li Wei Lu Xiaoli Li VLM 13 6 0 16 Oct 2023
GPT-Prompt Controlled Diffusion for Weakly-Supervised Semantic Segmentation Wangyu Wu Tianhong Dai Xiaowei Huang Fei Ma Jimin Xiao DiffM 18 1 0 15 Oct 2023