Co-occurring keywords · papers mentioning both
Papers
Core Knowledge Learning Framework for Graph
AAAI 2025
Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models
NAACL 2025
CountSE: Soft Exemplar Open-set Object Counting
ICCV 2025
Covariance-Based Space Regularization for Few-Shot Class Incremental Learning
WACV 2025
CreditLLM: Constructing Financial AI Assistant for Credit Products using Financial LLM and Few Data
COLING 2025
Cross-Document Event-Keyed Summarization
ACL 2025
Cross-Domain Multi-Modal Few-Shot Object Detection via Rich Text
WACV 2025
Crossing Domains without Labels: Distant Supervision for Term Extraction
EMNLP 2025
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations
AAAI 2025
CryoMAE: Few-Shot Cryo-EM Particle Picking with Masked Autoencoders
WACV 2025
CrystalICL: Enabling In-Context Learning for Crystal Generation
EMNLP 2025
CSIRO LT at SemEval-2025 Task 8: Answering Questions over Tabular Data using LLMs
SemEval 2025
Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM’s Nest
ACL 2025
CUET_SR34 at CQs-Gen 2025: Critical Question Generation via Few-Shot LLMs – Integrating NER and Argument Schemes
ACL 2025
CUNI-a at ArchEHR-QA 2025: Do we need Giant LLMs for Clinical QA?
ACL 2025
Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation
ACL 2025
CycleOIE: A Low-Resource Training Framework For Open Information Extraction
COLING 2025
D2ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition
ICCV 2025
Data-Efficient 3D Visual Grounding via Order-Aware Referring
WACV 2025
Data-scarce Behavior Editing of Language Models
EMNLP 2025
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
ACL 2025
Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation
AAAI 2025
Deontological Keyword Bias: The Impact of Modal Expressions on Normative Judgments of Language Models
ACL 2025
Derm1M: A Million-scale Vision-Language Dataset Aligned with Clinical Ontology Knowledge for Dermatology
ICCV 2025
Detecting Continuously Evolving Scam Calls under Limited Annotation: A LLM-Augmented Expert Rule Framework
EMNLP 2025