In-Context Learning

Comparative Analysis of Demonstration Selection Algorithms for In-Context Learning in Large Language Models (Student Abstract) AAAI 2025 Completing A Systematic Review in Hours instead of Months with Interactive AI Agents ACL 2025 Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models NAACL 2025 CrystalICL: Enabling In-Context Learning for Crystal Generation EMNLP 2025 Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning ACL 2025 DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning NAACL 2025 DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph ACL 2025 DeAL: Decoding-time Alignment for Large Language Models ACL 2025 Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer’s Disease Detection ACL 2025 Density estimation with LLMs: a geometric investigation of in-context learning trajectories ICLR 2025 Distilling Many-Shot In-Context Learning into a Cheat Sheet EMNLP 2025 Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions? ACL 2025 Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions EMNLP 2025 Don’t Take it Literally! Idiom-aware Vietnamese Translation via In-context Learning IJCNLP 2025 D.Va: Validate Your Demonstration First Before You Use It ACL 2025 Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs NAACL 2025 Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs NAACL 2025 Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse Attention ACL 2025 Emergence of symbolic abstraction heads for in-context learning in large language models COLING 2025 Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding ACL 2025 Enough Coin Flips Can Make LLMs Act Bayesian ACL 2025 Evaluating Large Language Models for In-Context Learning of Linguistic Patterns In Unseen Low Resource Languages COLING 2025 Exploring In-context Example Generation for Machine Translation ACL 2025 Factors Affecting Translation Quality in In-context Learning for Multilingual Medical Domain EMNLP 2025 Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data ICCV 2025