Papers
680 papers found
Generative Calibration for In-context Learning
Zhongtao Jiang, Yuanzhe Zhang, Cao Liu et al.
In-context Learning for Few-shot Multimodal Named Entity Recognition
Chenran Cai, Qianlong Wang, Bin Liang et al.
ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought
Hanchong Zhang, Ruisheng Cao, Lu Chen et al.
Active Learning Principles for In-Context Learning with Large Language Models
Katerina Margatina, Timo Schick, Nikolaos Aletras et al.
impact of sample selection on in-context learning for entity extraction from scientific writing
Necva Bölücü, Maciej Rybinski, Stephen Wan
Finding Support Examples for In-Context Learning
Xiaonan Li, Xipeng Qiu
Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing
Shufan Wang, Sébastien Jean, Sailik Sengupta et al.
CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation
Aswanth Kumar, Ratish Puduppully, Raj Dabre et al.
In-Context Learning Creates Task Vectors
Roee Hendel, Mor Geva, Amir Globerson
Exploring In-Context Learning for Knowledge Grounded Dialog Generation
Qinyu Chen, Wenhao Wu, Sujian Li
Robustness of Named-Entity Replacements for In-Context Learning
Saeed Goodarzi, Nikhil Kagita, Dennis Minn et al.
Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning
Duarte M. Alves, Nuno M. Guerreiro, João Alves et al.
How Many Demonstrations Do You Need for In-context Learning?
Jiuhai Chen, Lichang Chen, Chen Zhu et al.
Using In-Context Learning to Improve Dialogue Safety
Nicholas Meade, Spandana Gella, Devamanyu Hazarika et al.
Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning
Zhe Yang, Damai Dai, Peiyi Wang et al.
Coverage-based Example Selection for In-Context Learning
Shivanshu Gupta, Matt Gardner, Sameer Singh
Crosslingual Retrieval Augmented In-context Learning for Bangla
Xiaoqian Li, Ercong Nie, Sheng Liang
In-Context Learning for Text Classification with Many Labels
Aristides Milios, Siva Reddy, Dzmitry Bahdanau
In-context Learning of Large Language Models for Controlled Dialogue Summarization: A Holistic Benchmark and Empirical Analysis
Yuting Tang, Ratish Puduppully, Zhengyuan Liu et al.
On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software
Dananjay Srinivas, Rohan Das, Saeid Tizpaz-Niari et al.
FLIRT: Feedback Loop In-context Red Teaming
Ninareh Mehrabi, Palash Goyal, Christophe Dupuy et al.
In-context Contrastive Learning for Event Causality Identification
Liang Chao, Wei Xiang, Bang Wang
A Survey on In-context Learning
Qingxiu Dong, Lei Li, Damai Dai et al.
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process
Peng Wang, Xiaobin Wang, Chao Lou et al.
Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment
Zhenyu Liu, Dongfang Li, Xinshuo Hu et al.