Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations

25 May 2022

Papers citing "Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations"

33 / 33 papers shown

Title
Task-driven Layerwise Additive Activation Intervention Hieu Trung Nguyen Bao Nguyen Binh Nguyen V. Nguyen KELM 45 0 0 10 Feb 2025
In-Context Learning with Iterative Demonstration Selection Chengwei Qin Aston Zhang C. L. P. Chen Anirudh Dagar Wenming Ye LRM 68 38 0 31 Dec 2024
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection Sepideh Mamooler Syrielle Montariol Alexander Mathis Antoine Bosselut 78 1 0 16 Dec 2024
DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning Xinyu Tang Xiaolei Wang Wayne Xin Zhao Ji-Rong Wen 43 3 0 26 Oct 2024
Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information Yongheng Zhang Qiguang Chen Jingxuan Zhou Peng Wang Jiasheng Si Jin Wang Wenpeng Lu Libo Qin LRM 46 3 0 06 Oct 2024
PersonalLLM: Tailoring LLMs to Individual Preferences Thomas P. Zollo Andrew Siah Naimeng Ye Ang Li Hongseok Namkoong 30 10 0 30 Sep 2024
Large Visual-Language Models Are Also Good Classifiers: A Study of In-Context Multimodal Fake News Detection Ye Jiang Yimin Wang MLLM 36 1 0 16 Jul 2024
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning Sanchit Sinha Yuguang Yue Victor Soto Mayank Kulkarni Jianhua Lu Aidong Zhang LRM 29 4 0 19 May 2024
Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes Yongqiang Chen Binghui Xie Kaiwen Zhou Bo Han Yatao Bian James Cheng 27 2 0 30 Nov 2023
More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering Bingsheng Yao Guiming Hardy Chen Ruishi Zou Yuxuan Lu Jiachen Li Shao Zhang Yisi Sang Sijia Liu James A. Hendler Dakuo Wang 35 13 0 16 Nov 2023
Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question Prompts Yunshi Lan Xiang Li Xin Liu Yang Li Wei Qin Weining Qian LRM ReLM 23 23 0 15 Nov 2023
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing Xinyu Hu Pengfei Tang Simiao Zuo Zihan Wang Bowen Song Qiang Lou Jian Jiao Denis Xavier Charles LRM 33 7 0 20 Oct 2023
Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning Lucas Weber Elia Bruni Dieuwke Hupkes 28 24 0 20 Oct 2023
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning J. Wang Chengyu Wang Chuanqi Tan Jun Huang Ming Gao KELM 26 4 0 26 Sep 2023
Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning Xindi Wang Yufei Wang Can Xu Xiubo Geng Bowen Zhang Chongyang Tao Frank Rudzicz Robert E. Mercer Daxin Jiang 14 11 0 28 Jul 2023
In-Context Learning Learns Label Relationships but Is Not Conventional Learning Jannik Kossen Y. Gal Tom Rainforth 32 27 0 23 Jul 2023
Active Learning Principles for In-Context Learning with Large Language Models Katerina Margatina Timo Schick Nikolaos Aletras Jane Dwivedi-Yu 20 39 0 23 May 2023
Small Models are Valuable Plug-ins for Large Language Models Canwen Xu Yichong Xu Shuohang Wang Yang Liu Chenguang Zhu Julian McAuley LLMAG 34 44 0 15 May 2023
MoT: Memory-of-Thought Enables ChatGPT to Self-Improve Xiaonan Li Xipeng Qiu ReLM KELM LRM AI4MH 14 32 0 09 May 2023
Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis Wenhao Zhu Hongyi Liu Qingxiu Dong Jingjing Xu Shujian Huang Lingpeng Kong Jiajun Chen Lei Li LRM 29 139 0 10 Apr 2023
Task Ambiguity in Humans and Language Models Alex Tamkin Kunal Handa Ava Shrestha Noah D. Goodman UQLM 24 22 0 20 Dec 2022
Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering Zhiyong Wu Yaoxiang Wang Jiacheng Ye Lingpeng Kong 31 119 0 20 Dec 2022
Discovering Latent Knowledge in Language Models Without Supervision Collin Burns Haotian Ye Dan Klein Jacob Steinhardt 45 321 0 07 Dec 2022
Robustness of Demonstration-based Learning Under Limited Data Scenario Hongxin Zhang Yanzhe Zhang Ruiyi Zhang Diyi Yang 30 13 0 19 Oct 2022
On the Relation between Sensitivity and Accuracy in In-context Learning Yanda Chen Chen Zhao Zhou Yu Kathleen McKeown He He 180 77 0 16 Sep 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,881 0 04 Mar 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? Sewon Min Xinxi Lyu Ari Holtzman Mikel Artetxe M. Lewis Hannaneh Hajishirzi Luke Zettlemoyer LLMAG LRM 16 1,392 0 25 Feb 2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts Stephen H. Bach Victor Sanh Zheng-Xin Yong Albert Webson Colin Raffel ... Khalid Almubarak Xiangru Tang Dragomir R. Radev Mike Tian-Jian Jiang Alexander M. Rush VLM 225 338 0 02 Feb 2022
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers Boseop Kim Hyoungseok Kim Sang-Woo Lee Gichang Lee Donghyun Kwak ... Jaewook Kang Inho Kang Jung-Woo Ha W. Park Nako Sung VLM 241 121 0 10 Sep 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 209 179 0 18 Apr 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 277 1,114 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,835 0 18 Apr 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,584 0 21 Jan 2020