Title
Fast RoPE Attention: Combining the Polynomial Method and Fast Fourier Transform Josh Alman Zhao Song 12 0 0 17 May 2025
Incomplete In-context Learning Wenqiang Wang Yangshijie Zhang 39 0 0 12 May 2025
In-Context Learning with Iterative Demonstration Selection Chengwei Qin Aston Zhang Chong Chen Anirudh Dagar Wenming Ye LRM 70 38 0 31 Dec 2024
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent Bo Chen Xiaoyu Li Yingyu Liang Zhenmei Shi Zhao Song 96 20 0 15 Oct 2024
Mitigating Copy Bias in In-Context Learning through Neuron Pruning Ameen Ali Lior Wolf Ivan Titov 44 2 0 02 Oct 2024
FabGPT: An Efficient Large Multimodal Model for Complex Wafer Defect Knowledge Queries Yuqi Jiang Xudong Lu Qian Jin Qi Sun Hanming Wu Cheng Zhuo 39 5 0 15 Jul 2024
FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios Yongjian Tang Rakebul Hasan Thomas Runkler 71 2 0 10 Jul 2024
Token-based Decision Criteria Are Suboptimal in In-context Learning Hakaze Cho Yoshihiro Sakai Mariko Kato Kenshiro Tanaka Akira Ishii Naoya Inoue 46 2 0 24 Jun 2024
Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models Jiankun Wang Sumyeong Ahn Taykhoom Dalal Xiaodan Zhang Weishen Pan Qiannan Zhang Bin Chen H. H. Dodge Fei Wang Jiayu Zhou LM&MA 31 1 0 26 May 2024
A Survey on Vision-Language-Action Models for Embodied AI Yueen Ma Zixing Song Yuzheng Zhuang Jianye Hao Irwin King LM&Ro 82 43 0 23 May 2024
ADELIE: Aligning Large Language Models on Information Extraction Y. Qi Hao Peng Xiaozhi Wang Bin Xu Lei Hou Juanzi Li 41 7 0 08 May 2024
Deconstructing In-Context Learning: Understanding Prompts via Corruption Namrata Shivagunde Vladislav Lialin Sherin Muckatira Anna Rumshisky 38 2 0 02 Apr 2024
Investigating the Effectiveness of HyperTuning via Gisting Jason Phang 46 0 0 26 Feb 2024
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model Jianhao Yuan Shuyang Sun Daniel Omeiza Bo Zhao Paul Newman Lars Kunze Matthew Gadd LRM 36 49 0 16 Feb 2024
NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning Yufeng Zhao Yoshihiro Sakai Naoya Inoue 33 4 0 08 Feb 2024
QUAR-VLA: Vision-Language-Action Model for Quadruped Robots Pengxiang Ding Han Zhao Wenxuan Song Zhitao Wang Zhenyu Wei Shangke Lyu Ningxi Yang Donglin Wang 32 19 0 22 Dec 2023
ICL Markup: Structuring In-Context Learning using Soft-Token Tags Marc-Etienne Brunet Ashton Anderson R. Zemel 31 4 0 12 Dec 2023
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications Yanchen Liu Srishti Gautam Jiaqi Ma Himabindu Lakkaraju LMTD 24 12 0 23 Oct 2023
JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning Chang Gao Wenxuan Zhang Guizhen Chen Wai Lam 55 5 0 04 Oct 2023
FLM-101B: An Open LLM and How to Train It with $100K Budget$ Xiang Li Yiqun Yao Xin Jiang Xuezhi Fang Xuying Meng ... Li Du Bowen Qin Zheng-Wei Zhang Aixin Sun Yequan Wang 60 21 0 07 Sep 2023
Simple synthetic data reduces sycophancy in large language models Jerry W. Wei Da Huang Yifeng Lu Denny Zhou Quoc V. Le 33 69 0 07 Aug 2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control Anthony Brohan Noah Brown Justice Carbajal Yevgen Chebotar Xi Chen ... Ted Xiao Peng Xu Sichun Xu Tianhe Yu Brianna Zitkovich LM&Ro LRM 30 1,110 0 28 Jul 2023
Instruction-following Evaluation through Verbalizer Manipulation Shiyang Li Jun Yan Hai Wang Zheng Tang Xiang Ren Vijay Srinivasan Hongxia Jin 36 25 0 20 Jul 2023
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango Aman Madaan Amir Yazdanbakhsh LRM 154 116 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 339 12,003 0 04 Mar 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 398 8,559 0 28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 213 1,661 0 15 Oct 2021
RAFT: A Real-World Few-Shot Text Classification Benchmark Neel Alex Eli Lifland Lewis Tunstall A. Thakur Pegah Maham ... Carolyn Ashurst Paul Sedille A. Carlier M. Noetel Andreas Stuhlmuller RALM 184 56 0 28 Sep 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 223 180 0 18 Apr 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 186 640 0 19 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,984 0 20 Apr 2018