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In-Context Learning

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Showing 1201–1225 of 2297 papers

TitleStatusHype
Disentangling Latent Shifts of In-Context Learning Through Self-Training—0
Exploring the Learning Capabilities of Language Models using LEVERWORLDS—0
Embedding-based statistical inference on generative models—0
From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems—0
Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysis—0
Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done!—0
TaskComplexity: A Dataset for Task Complexity Classification with In-Context Learning, FLAN-T5 and GPT-4o BenchmarksCode0
Unsupervised Human Preference Learning—0
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language ModelsCode0
Efficient Long-Form Speech Recognition for General Speech In-Context Learning—0
Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative CriterionCode0
AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models—0
A Few Hypocrites: Few-Shot Learning and Subtype Definitions for Detecting Hypocrisy Accusations in Online Climate Change Debates—0
Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition—0
Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning?Code0
Making Text Embedders Few-Shot Learners—0
Do the Right Thing, Just Debias! Multi-Category Bias Mitigation Using LLMs—0
Revise, Reason, and Recognize: LLM-Based Emotion Recognition via Emotion-Specific Prompts and ASR Error CorrectionCode0
Inferring Scientific Cross-Document Coreference and Hierarchy with Definition-Augmented Relational ReasoningCode0
PALLM: Evaluating and Enhancing PALLiative Care Conversations with Large Language ModelsCode0
Instruction Tuning Vs. In-Context Learning: Revisiting Large Language Models in Few-Shot Computational Social Science—0
Evaluating the Performance and Robustness of LLMs in Materials Science Q&A and Property Predictions—0
Enhancing Advanced Visual Reasoning Ability of Large Language Models—0
One-shot World Models Using a Transformer Trained on a Synthetic PriorCode0
LLM for Everyone: Representing the Underrepresented in Large Language Models—0
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