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

PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation EMNLP 2024 Privacy-Preserving In-Context Learning for Large Language Models ICLR 2024 Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation ICLR 2024 Private prediction for large-scale synthetic text generation EMNLP 2024 Probing the Decision Boundaries of In-context Learning in Large Language Models NeurIPS 2024 Prompted Aspect Key Point Analysis for Quantitative Review Summarization ACL 2024 PromptMind Team at MEDIQA-CORR 2024: Improving Clinical Text Correction with Error Categorization and LLM Ensembles NAACL 2024 Prompt Optimization via Adversarial In-Context Learning ACL 2024 Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars NeurIPS 2024 Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking EMNLP 2024 ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training ACL 2024 ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context EMNLP 2024 Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning NeurIPS 2024 QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction ACL 2024 Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks ACL 2024 QuRating: Selecting High-Quality Data for Training Language Models ICML 2024 RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Multi-Modal Large Language Model Learning RSS 2024 Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction IJCAI 2024 RECOST: External Knowledge Guided Data-efficient Instruction Tuning ACL 2024 Rectifying Demonstration Shortcut in In-Context Learning NAACL 2024 Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models NeurIPS 2024 Relational Programming with Foundational Models AAAI 2024 Representational Analysis of Binding in Language Models EMNLP 2024 Rethinking Skill Extraction in the Job Market Domain using Large Language Models EACL 2024 Rethinking the Evaluation of In-Context Learning for LLMs EMNLP 2024