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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

UnCo: Uncertainty-Driven Collaborative Framework of Large and Small Models for Grounded Multimodal NER EMNLP 2025
On LLM-Based Scientific Inductive Reasoning Beyond Equations EMNLP 2025
Few-Shot Open-Set Classification via Reasoning-Aware Decomposition EMNLP 2025
LVLMs are Bad at Overhearing Human Referential Communication EMNLP 2025
TORSO: Template-Oriented Reasoning Towards General Tasks EMNLP 2025
WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning EMNLP 2025
Think Globally, Group Locally: Evaluating LLMs Using Multi-Lingual Word Grouping Games EMNLP 2025
Surprise Calibration for Better In-Context Learning EMNLP 2025
Scalable and Culturally Specific Stereotype Dataset Construction via Human-LLM Collaboration EMNLP 2025
ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning EMNLP 2025
Aspect-Oriented Summarization for Psychiatric Short-Term Readmission Prediction EMNLP 2025
Do LLMs Behave as Claimed? Investigating How LLMs Follow Their Own Claims using Counterfactual Questions EMNLP 2025
It’s All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs EMNLP 2025
Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning EMNLP 2025
The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning EMNLP 2025
Program of Thoughts for Financial Reasoning: Leveraging Dynamic In-Context Examples and Generative Retrieval EMNLP 2025
Label Set Optimization via Activation Distribution Kurtosis for Zero-Shot Classification with Generative Models EMNLP 2025
seqBench: A Tunable Benchmark to Quantify Sequential Reasoning Limits of LLMs EMNLP 2025
PolyNorm: Few-Shot LLM-Based Text Normalization for Text-to-Speech EMNLP 2025
Leveraging the Power of Large Language Models in Entity Linking via Adaptive Routing and Targeted Reasoning EMNLP 2025
Quality Assessment of Tabular Data using Large Language Models and Code Generation EMNLP 2025
FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement AAAI 2025
CodeMixBench: Evaluating Code-Mixing Capabilities of LLMs Across 18 Languages EMNLP 2025
In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties EMNLP 2025
Enhance Vision-Language Alignment with Noise AAAI 2025