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In-Context Learning

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Showing 1501–1525 of 2297 papers

TitleStatusHype
Speech-to-Speech Translation with Discrete-Unit-Based Style Transfer—0
SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning—0
Split and Rephrase with Large Language Models—0
Spoken Language Understanding on Unseen Tasks With In-Context Learning—0
SQL-Encoder: Improving NL2SQL In-Context Learning Through a Context-Aware Encoder—0
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended)—0
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data—0
SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies—0
SSPA: Split-and-Synthesize Prompting with Gated Alignments for Multi-Label Image Recognition—0
Stabilized In-Context Learning with Pre-trained Language Models for Few Shot Dialogue State Tracking—0
StatBot.Swiss: Bilingual Open Data Exploration in Natural Language—0
State Soup: In-Context Skill Learning, Retrieval and Mixing—0
State-space models can learn in-context by gradient descent—0
Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning—0
STEM-POM: Evaluating Language Models Math-Symbol Reasoning in Document Parsing—0
Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping—0
STEPS: A Benchmark for Order Reasoning in Sequential Tasks—0
StraGo: Harnessing Strategic Guidance for Prompt Optimization—0
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning—0
Strategies for political-statement segmentation and labelling in unstructured text—0
StreamAdapter: Efficient Test Time Adaptation from Contextual Streams—0
Structured Prompting: Scaling In-Context Learning to 1,000 Examples—0
Studying LLM Performance on Closed- and Open-source Data—0
"Stupid robot, I want to speak to a human!" User Frustration Detection in Task-Oriented Dialog Systems—0
Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles—0
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