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In-Context Learning

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Showing 2276–2297 of 2297 papers

TitleStatusHype
Repetition Neurons: How Do Language Models Produce Repetitions?—0
Repetitions are not all alike: distinct mechanisms sustain repetition in language models—0
Resona: Improving Context Copying in Linear Recurrence Models with Retrieval—0
Rethinking Graph Structure Learning in the Era of LLMs—0
Retrieval-Augmented Chain-of-Thought in Semi-structured Domains—0
Retrieval-Augmented Code Generation for Universal Information Extraction—0
Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft—0
Retrieval Augmented End-to-End Spoken Dialog Models—0
Retrieval-augmented in-context learning for multimodal large language models in disease classification—0
Retrieval-Augmented Multimodal Language Modeling—0
Retrieval-Enhanced Named Entity Recognition—0
Retrieval & Fine-Tuning for In-Context Tabular Models—0
Retrieved In-Context Principles from Previous Mistakes—0
Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison—0
Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot—0
Revisiting Dynamic Evaluation: Online Adaptation for Large Language Models—0
Revisiting In-Context Learning with Long Context Language Models—0
Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models—0
Rich Semantic Knowledge Enhanced Large Language Models for Few-shot Chinese Spell Checking—0
RL2: Reinforce Large Language Model to Assist Safe Reinforcement Learning for Energy Management of Active Distribution Networks—0
Direct Preference Optimization for LLM-Enhanced Recommendation Systems—0
Robust Neural Processes for Noisy Data—0
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