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

Are Large Language Models Good Statisticians? NeurIPS 2024 Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content? EMNLP 2024 Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning NeurIPS 2024 AS-ES Learning: Towards efficient CoT learning in small models ACL 2024 A Simple Image Segmentation Framework via In-Context Examples NeurIPS 2024 Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning EACL 2024 Assessing In-context Learning and Fine-tuning for Topic Classification of German Web Data ACL 2024 Assessing Student Explanations with Large Language Models Using Fine-Tuning and Few-Shot Learning NAACL 2024 Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues EMNLP 2024 A Study on the Calibration of In-context Learning NAACL 2024 A Survey on In-context Learning EMNLP 2024 A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic Inferences EMNLP 2024 Athena: Safe Autonomous Agents with Verbal Contrastive Learning EMNLP 2024 A Theoretical Understanding of Self-Correction through In-context Alignment NeurIPS 2024 Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities ICML 2024 AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents NeurIPS 2024 AutoRef: Generating Refinements of Reviews Given Guidelines ACL 2024 Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering ICLR 2024 Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning ACL 2024 Bayesian Example Selection Improves In-Context Learning for Speech, Text and Visual Modalities EMNLP 2024 Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming EMNLP 2024 Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation ACL 2024 BELIEVE: Belief-Enhanced Instruction Generation and Augmentation for Zero-Shot Bias Mitigation NAACL 2024 Benchmarking Hallucination in Large Language Models Based on Unanswerable Math Word Problem COLING 2024 BERTs are Generative In-Context Learners NeurIPS 2024