Papers
680 papers found
Retrieval Enhanced Feedback via In-context Neural Error-book
Jongyeop Hyun, Bumsoo Kim
Tuning Less, Prompting More: In-Context Preference Learning Pipeline for Natural Language Transformation
Shuyun Yang, Yan Zhang, Zhengmao Ye et al.
Journalism-Guided Agentic In-context Learning for News Stance Detection
Dahyun Lee, Jonghyeon Choi, Jiyoung Han et al.
Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation
Ziniu Zhang, Zhenshuo Zhang, Dongyue Li et al.
Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization
Mahmud Wasif Nafee, Maiqi Jiang, Haipeng Chen et al.
Faster In-Context Learning for LLMs via N-Gram Trie Speculative Decoding
Jinglin Chen, Qiwei Li, Zuchao Li et al.
CrystalICL: Enabling In-Context Learning for Crystal Generation
Ruobing Wang, Qiaoyu Tan, Yili Wang et al.
SAFE-SQL: Self-Augmented In-Context Learning with Fine-grained Example Selection for Text-to-SQL
Jimin Lee, Ingeol Baek, Byeongjeong Kim et al.
Topic Coverage-based Demonstration Retrieval for In-Context Learning
Wonbin Kweon, SeongKu Kang, Runchu Tian et al.
Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models
Masahiro Kaneko, Alham Fikri Aji, Timothy Baldwin
Surprise Calibration for Better In-Context Learning
Zhihang Tan, Jingrui Hou, Ping Wang et al.
Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes
Qiunan Du, Zhiliang Tian, Zhen Huang et al.
Enhancing LLM Language Adaption through Cross-lingual In-Context Pre-training
Linjuan Wu, Hao-Ran Wei, Huan Lin et al.
LLMs are Better Than You Think: Label-Guided In-Context Learning for Named Entity Recognition
Fan Bai, Hamid Hassanzadeh, Ardavan Saeedi et al.
It’s All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs
Yue Li, Zhixue Zhao, Carolina Scarton
The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning
Stephanie Schoch, Yangfeng Ji
Program of Thoughts for Financial Reasoning: Leveraging Dynamic In-Context Examples and Generative Retrieval
Subhendu Khatuya, Shashwat Naidu, Pawan Goyal et al.
Rapid Word Learning Through Meta In-Context Learning
Wentao Wang, Guangyuan Jiang, Tal Linzen et al.
No Need for Explanations: LLMs can implicitly learn from mistakes in-context
Lisa Alazraki, Maximilian Mozes, Jon Ander Campos et al.
EmoGist: Efficient In-Context Learning for Visual Emotion Understanding
Ronald Seoh, Dan Goldwasser
DICP: Deep In-Context Prompt for Event Causality Identification
Lin Mu, Jun Shen, Li Ni et al.
Reward Mixology: Crafting Hybrid Signals for Reinforcement Learning Driven In-Context Learning
Changshuo Zhang, Ang Gao, Xiao Zhang et al.
Fine-Tuning Encoder-Decoder Models with Contrastive Learning for In-Context Distractor Generation
Elaf Alhazmi, Quan Z. Sheng, Wei Emma Zhang et al.
Public Data Assisted Differentially Private In-Context Learning
Seongho Joo, Hyukhun Koh, Kyomin Jung
Learning API Functionality from In-Context Demonstrations for Tool-based Agents
Bhrij Patel, Ashish Jagmohan, Aditya Vempaty