Papers
680 papers found
GAMIC: Graph-Aligned Molecular In-context Learning for Molecule Analysis via LLMs
Ali Al Lawati, Jason S Lucas, Zhiwei Zhang et al.
On the Versatility of Sparse Autoencoders for In-Context Learning
Ikhyun Cho, Gaeul Kwon, Julia Hockenmaier
OptiSeq: Ordering Examples On-The-Fly for In-Context Learning
Rahul Atul Bhope, Praveen Venkateswaran, K. R. Jayaram et al.
Mechanistic Fine-tuning for In-context Learning
Hakaze Cho, Peng Luo, Mariko Kato et al.
Few-Shot Coreference Resolution with Semantic Difficulty Metrics and In-Context Learning
Nguyen Xuan Phuc, Dang Van Thin
DeMeVa at LeWiDi-2025: Modeling Perspectives with In-Context Learning and Label Distribution Learning
Daniil Ignatev, Nan Li, Hugh Mee Wong et al.
Opt-ICL at LeWiDi-2025: Maximizing In-Context Signal from Rater Examples via Meta-Learning
Taylor Sorensen, Yejin Choi
SINC: Self-Supervised In-Context Learning for Vision-Language Tasks
Yi-Syuan Chen, Yun-Zhu Song, Cheng Yu Yeo et al.
Less-to-More Generalization: Unlocking More Controllability by In-Context Generation
Shaojin Wu, Mengqi Huang, Wenxu Wu et al.
VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning
Zhong-Yu Li, Ruoyi Du, Juncheng Yan et al.
X-Prompt: Generalizable Auto-Regressive Visual Learning with In-Context Prompting
Zeyi Sun, Ziyang Chu, Pan Zhang et al.
Generalizable Object Re-Identification via Visual In-Context Prompting
Zhizhong Huang, Xiaoming Liu
RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models
Yijing Lin, Mengqi Huang, Shuhan Zhuang et al.
Is Visual in-Context Learning for Compositional Medical Tasks within Reach?
Simon Reiß, Zdravko Marinov, Alexander Jaus et al.
Teaching VLMs to Localize Specific Objects from In-context Examples
Sivan Doveh, Nimrod Shabtay, Eli Schwartz et al.
ImageGen-CoT: Enhancing Text-to-Image In-context Learning with Chain-of-Thought Reasoning
Jiaqi Liao, Zhengyuan Yang, Linjie Li et al.
Stable Diffusion Models are Secretly Good at Visual In-Context Learning
Trevine Oorloff, Vishwanath Sindagi, Wele Gedara Chaminda Bandara et al.
DIP: Unsupervised Dense In-Context Post-training of Visual Representations
Sophia Sirko-Galouchenko, Spyros Gidaris, Antonin Vobecky et al.
In-context Reinforcement Learning with Algorithm Distillation
Michael Laskin, Luyu Wang, Junhyuk Oh et al.
In-Context Learning through the Bayesian Prism
Madhur Panwar, Kabir Ahuja, Navin Goyal
In-Context Learning Dynamics with Random Binary Sequences
Eric J Bigelow, Ekdeep Singh Lubana, Robert P. Dick et al.
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents
Jake Grigsby, Linxi Fan, Yuke Zhu
In-Context Pretraining: Language Modeling Beyond Document Boundaries
Weijia Shi, Sewon Min, Maria Lomeli et al.
How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?
Jingfeng Wu, Difan Zou, Zixiang Chen et al.
Supervised Knowledge Makes Large Language Models Better In-context Learners
Linyi Yang, Shuibai Zhang, Zhuohao Yu et al.