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conftrace_

in-context learning

1,641 papers

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Also known as

ICL

Co-occurring keywords · papers mentioning both

large language model (789) few-shot learning (311) prompt engineering (151) zero-shot learning (117) language model (97) retrieval-augmented generation (82) multimodal learning (60) text classification (57) machine translation (53) vision-language model (46)

Papers

Token-based Decision Criteria Are Suboptimal in In-context Learning NAACL 2025 TokenShapley: Token Level Context Attribution with Shapley Value ACL 2025 Topic Coverage-based Demonstration Retrieval for In-Context Learning EMNLP 2025 TORSO: Template-Oriented Reasoning Towards General Tasks EMNLP 2025 Toward Efficient Sparse Autoencoder-Guided Steering for Improved In-Context Learning in Large Language Models EMNLP 2025 Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization ICLR 2025 Towards the Machine Translation of Scientific Neologisms COLING 2025 Towards Understanding the Universality of Transformers for Next-Token Prediction ICLR 2025 Toward Understanding In-context vs. In-weight Learning ICLR 2025 To What Extent Can In-Context Learning Solve Unseen Tasks? IJCNLP 2025 Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context ICLR 2025 Training Dynamics of In-Context Learning in Linear Attention ICML 2025 Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis ICLR 2025 Transformers are Provably Optimal In-context Estimators for Wireless Communications AISTATS 2025 Transformers are Universal In-context Learners ICLR 2025 Transformers Handle Endogeneity in In-Context Linear Regression ICLR 2025 Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought ICLR 2025 Transforming Code Understanding: Clustering-Based Retrieval for Improved Summarization in Domain-Specific Languages COLING 2025 TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models ICML 2025 Tuning-Free Accountable Intervention for LLM Deployment – a Metacognitive Approach AAAI 2025 Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning NAACL 2025 Tuning Less, Prompting More: In-Context Preference Learning Pipeline for Natural Language Transformation EMNLP 2025 UAlberta at SemEval-2025 Task 2: Prompting and Ensembling for Entity-Aware Translation SemEval 2025 UIMP-Aaman at SemEval-2025 Task11: Detecting Intensity and Emotion in Social Media and News SemEval 2025 uMedSum: A Unified Framework for Clinical Abstractive Summarization ACL 2025