Papers
680 papers found
Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems
Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu et al.
Learning to Retrieve Iteratively for In-Context Learning
Yunmo Chen, Tongfei Chen, Harsh Jhamtani et al.
Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning
Ming Shan Hee, Aditi Kumaresan, Roy Ka-Wei Lee
Retrieved In-Context Principles from Previous Mistakes
Hao Sun, Yong Jiang, Bo Wang et al.
SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation
Chenming Tang, Zhixiang Wang, Yunfang Wu
On the In-context Generation of Language Models
Zhongtao Jiang, Yuanzhe Zhang, Kun Luo et al.
Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism
Anhao Zhao, Fanghua Ye, Jinlan Fu et al.
Rethinking the Evaluation of In-Context Learning for LLMs
Guoxin Yu, Lemao Liu, Mo Yu et al.
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law
Toni J.b. Liu, Nicolas Boulle, Raphaël Sarfati et al.
In-Context Compositional Generalization for Large Vision-Language Models
Chuanhao Li, Chenchen Jing, Zhen Li et al.
Defending Jailbreak Prompts via In-Context Adversarial Game
Yujun Zhou, Yufei Han, Haomin Zhuang et al.
Bayesian Example Selection Improves In-Context Learning for Speech, Text and Visual Modalities
Siyin Wang, Chao-Han Huck Yang, Ji Wu et al.
CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage
Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen et al.
SpeciaLex: A Benchmark for In-Context Specialized Lexicon Learning
Joseph Marvin Imperial, Harish Tayyar Madabushi
Let’s Ask GNN: Empowering Large Language Model for Graph In-Context Learning
Zhengyu Hu, Yichuan Li, Zhengyu Chen et al.
In-Context Learning with Iterative Demonstration Selection
Chengwei Qin, Aston Zhang, Chen Chen et al.
Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning
Tianhui Zhang, Bei Peng, Danushka Bollegala
Tutor-ICL: Guiding Large Language Models for Improved In-Context Learning Performance
Ikhyun Cho, Gaeul Kwon, Julia Hockenmaier
Large Language Models are In-context Teachers for Knowledge Reasoning
Jiachen Zhao, Zonghai Yao, Zhichao Yang et al.
Transformer verbatim in-context retrieval across time and scale
Kristijan Armeni, Marko Pranjić, Senja Pollak
Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs
Ronit Singal, Pransh Patwa, Parth Patwa et al.
CHIE: Generative MRC Evaluation for in-context QA with Correctness, Helpfulness, Irrelevancy, and Extraneousness Aspects
Wannaphong Phatthiyaphaibun, Surapon Nonesung, Peerat Limkonchotiwat et al.
MLT-DR: Multi-Lingual/Task Demonstration RetrievalAn Attempt towards Generalized Retriever for In-Context Learning
Kazuma Hashimoto, Arjun Reddy Akula, Karthik Raman et al.
TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configuration
Yanshu Li, Jianjiang Yang, Tian Yun et al.
In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties
Nathan Roll, Calbert Graham, Yuka Tatsumi et al.