conftrace_

demonstration retrieval

26 papers

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Co-occurring keywords

in-context learning (1405) large language model (13587) few-shot learning (3398) retrieval-augmented generation (1592) list-wise ranking (12) retrieval augmentation (139) retrieval-based learning (13) knowledge graph (1837) semantic similarity (910) named entity recognition (2813)

Papers

Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval ACL 2026
Seeking Rational Demonstrations for Large Language Models: A Domain Generalization Approach to Unsupervised Cross-Domain Keyphrase Generation ACL 2025
LLMs + Persona-Plug = Personalized LLMs ACL 2025
DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph ACL 2025
Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse Attention ACL 2025
ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval EMNLP 2025
DRUM: Learning Demonstration Retriever for Large MUlti-modal Models ACL 2025
ICL-Bandit: Relevance Labeling in Advertisement Recommendation Systems via LLM EMNLP 2025
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models AAAI 2025
TrustUQA: A Trustful Framework for Unified Structured Data Question Answering AAAI 2025
Topic Coverage-based Demonstration Retrieval for In-Context Learning EMNLP 2025
CLL-RetICL: Contrastive Linguistic Label Retrieval-based In-Context Learning for Text Classification via Large Language Models AACL 2025
DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning COLING 2025
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction IJCAI 2024
MLT-DR: Multi-Lingual/Task Demonstration RetrievalAn Attempt towards Generalized Retriever for In-Context Learning EMNLP 2024
Towards Robust In-Context Learning for Machine Translation with Large Language Models COLING 2024
MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning NAACL 2024
Instruction Embedding: Latent Representations of Instructions Towards Task Identification NIPS 2024
Mixture of Demonstrations for In-Context Learning NIPS 2024
ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context AAAI 2024
What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration NIPS 2024
Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning EMNLP 2024
Demonstration Retrieval-Augmented Generative Event Argument Extraction COLING 2024
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning ACL 2023
GPT-RE: In-context Learning for Relation Extraction using Large Language Models EMNLP 2023