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

On the In-context Generation of Language Models EMNLP 2024 On the Noise Robustness of In-Context Learning for Text Generation NeurIPS 2024 Ontologically Faithful Generation of Non-Player Character Dialogues EMNLP 2024 Ontology-guided Knowledge Graph Construction from Maintenance Short Texts ACL 2024 Opponent Modeling with In-context Search NeurIPS 2024 Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach EMNLP 2024 Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks NeurIPS 2024 Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling NeurIPS 2024 OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples AAAI 2024 PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning ACL 2024 PALM: Predicting Actions through Language Models ECCV 2024 Parallel Structures in Pre-training Data Yield In-Context Learning ACL 2024 PEARL: Preference Extraction with Exemplar Augmentation and Retrieval with LLM Agents EMNLP 2024 Personalized Video Comment Generation EMNLP 2024 PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models NeurIPS 2024 PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning ICML 2024 Pinpointing Diffusion Grid Noise to Enhance Aspect Sentiment Quad Prediction ACL 2024 Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction NeurIPS 2024 Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion EMNLP 2024 Position: Do pretrained Transformers Learn In-Context by Gradient Descent? ICML 2024 Position Engineering: Boosting Large Language Models through Positional Information Manipulation EMNLP 2024 Position Paper: Data-Centric AI in the Age of Large Language Models EMNLP 2024 Position: Understanding LLMs Requires More Than Statistical Generalization ICML 2024 Position: Video as the New Language for Real-World Decision Making ICML 2024 Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context NeurIPS 2024