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in-context learning

1369 papers

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Also known as

ICL IC ICCG ICRL

Co-occurring keywords

large language model (12755) few-shot learning (3390) prompt engineering (1128) zero-shot learning (3637) language model (4573) retrieval-augmented generation (1459) text classification (6776) machine translation (2472) multimodal learning (4622) question answering (2904)

Papers

Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning? WACV 2025
Multi-Modal Large Language Model with RAG Strategies in Soccer Commentary Generation WACV 2025
Beyond Demonstrations: Dynamic Vector Construction from Latent Representations EMNLP 2025
Noise, Adaptation, and Strategy: Assessing LLM Fidelity in Decision-Making EMNLP 2025
Improving Multilingual Retrieval-Augmented Language Models through Dialectic Reasoning Argumentations EMNLP 2025
PRISM: Efficient Long-Range Reasoning With Short-Context LLMs EMNLP 2025
On the Role of Model Prior in Real-World Inductive Reasoning EMNLP 2025
ProcWorld: Benchmarking Large Model Planning in Reachability-Constrained Environments EMNLP 2025
Retrieval Enhanced Feedback via In-context Neural Error-book EMNLP 2025
Tuning Less, Prompting More: In-Context Preference Learning Pipeline for Natural Language Transformation EMNLP 2025
STARE at the Structure: Steering ICL Exemplar Selection with Structural Alignment EMNLP 2025
Journalism-Guided Agentic In-context Learning for News Stance Detection EMNLP 2025
Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization EMNLP 2025
Multi-perspective Analysis of Large Language Model Domain Specialization: An Experiment in Accounting Audit Procedures Generation EMNLP 2025
Faster In-Context Learning for LLMs via N-Gram Trie Speculative Decoding EMNLP 2025
Evaluating and Aligning Human Economic Risk Preferences in LLMs EMNLP 2025
CrystalICL: Enabling In-Context Learning for Crystal Generation EMNLP 2025
Humans Hallucinate Too: Language Models Identify and Correct Subjective Annotation Errors With Label-in-a-Haystack Prompts EMNLP 2025
Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models EMNLP 2025
LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning EMNLP 2025
RD-MCSA: A Multi-Class Sentiment Analysis Approach Integrating In-Context Classification Rationales and Demonstrations EMNLP 2025
Surprise Calibration for Better In-Context Learning EMNLP 2025
Scalable and Culturally Specific Stereotype Dataset Construction via Human-LLM Collaboration EMNLP 2025
ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval EMNLP 2025
Factors Affecting Translation Quality in In-context Learning for Multilingual Medical Domain EMNLP 2025