Papers
680 papers found
MLPs Learn In-Context on Regression and Classification Tasks
William Lingxiao Tong, Cengiz Pehlevan
Vector-ICL: In-context Learning with Continuous Vector Representations
Yufan Zhuang, Chandan Singh, Liyuan Liu et al.
Streaming Video Question-Answering with In-context Video KV-Cache Retrieval
Shangzhe Di, Zhelun Yu, Guanghao Zhang et al.
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning
Songtao Liu, Zhengkai Tu, Minkai Xu et al.
PFNs4BO: In-Context Learning for Bayesian Optimization
Samuel Müller, Matthias Feurer, Noah Hollmann et al.
Transformers Learn In-Context by Gradient Descent
Johannes Von Oswald, Eyvind Niklasson, Ettore Randazzo et al.
Compositional Exemplars for In-context Learning
Jiacheng Ye, Zhiyong Wu, Jiangtao Feng et al.
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
Guozheng Li, Peng Wang, Jiajun Liu et al.
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction
Guozheng Li, Peng Wang, Wenjun Ke et al.
Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming
Nanxu Gong, Xinyuan Wang, Wangyang Ying et al.
In-Context Meta LoRA Generation
Yihua Shao, Minxi Yan, Yang Liu et al.
In-context Learning Demonstration Generation with Text Distillation
Wuyuqing Wang, Erkun Yang, Zilan Zhou et al.
Reinforced In-Context Black-Box Optimization
Lei Song, Chen-Xiao Gao, Ke Xue et al.
Team NLLG submission for Eval4NLP 2023 Shared Task: Retrieval-Augmented In-Context Learning for NLG Evaluation
Daniil Larionov, Vasiliy Viskov, George Kokush et al.
GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language Models
Pawan Rajpoot, Ankur Parikh
Assessing the Limits of In-Context Learning beyond Functions using Partially Ordered Relation
Debanjan Dutta, Faizanuddin Ansari, Swagatam Das
Don’t Take it Literally! Idiom-aware Vietnamese Translation via In-context Learning
Luan Thanh Nguyen, Parisa Kordjamshidi
To What Extent Can In-Context Learning Solve Unseen Tasks?
Ryoma Shinto, Masashi Takeshita, Rafal Rzepka et al.
CLL-RetICL: Contrastive Linguistic Label Retrieval-based In-Context Learning for Text Classification via Large Language Models
Chaohao Lin, Kaida Wu, Peihao Xiang et al.
The Alchemy of Thought: Understanding In-Context Learning Through Supervised Classification
Harshita Narnoli, Mihai Surdeanu
Exploring In-Context Learning of Textless Speech Language Model for Speech Classification Tasks
Kai-Wei Chang, Ming-Hao Hsu, Shan-Wen Li et al.
Trained Transformers Learn Linear Models In-Context
Ruiqi Zhang, Spencer Frei, Peter L. Bartlett
Learning To Retrieve Prompts for In-Context Learning
Ohad Rubin, Jonathan Herzig, Jonathan Berant
Improving In-Context Few-Shot Learning via Self-Supervised Training
Mingda Chen, Jingfei Du, Ramakanth Pasunuru et al.
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model
Seongjin Shin, Sang-Woo Lee, Hwijeen Ahn et al.