Co-occurring keywords · papers mentioning both
Papers
Translate to Disambiguate: Zero-shot Multilingual Word Sense Disambiguation with Pretrained Language Models
EACL 2024
TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering
EMNLP 2024
Tree-of-Counterfactual Prompting for Zero-Shot Stance Detection
ACL 2024
Triple-Encoders: Representations That Fire Together, Wire Together
ACL 2024
TRUE-UIE: Two Universal Relations Unify Information Extraction Tasks
NAACL 2024
TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkish
EMNLP 2024
TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning
EMNLP 2024
UMUTeam at SemEval-2024 Task 6: Leveraging Zero-Shot Learning for Detecting Hallucinations and Related Observable Overgeneration Mistakes
SemEval 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance
NeurIPS 2024
Understanding prompt engineering may not require rethinking generalization
ICLR 2024
Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learning
ACL 2024
Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
ICLR 2024
UniBuc at SemEval-2024 Task 2: Tailored Prompting with Solar for Clinical NLI
SemEval 2024
UniDepth: Universal Monocular Metric Depth Estimation
CVPR 2024
Uni-Dubbing: Zero-Shot Speech Synthesis from Visual Articulation
ACL 2024
Unified Embeddings for Multimodal Retrieval via Frozen LLMs
EACL 2024
Unified Language-driven Zero-shot Domain Adaptation
CVPR 2024
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
EMNLP 2024
UniMTS: Unified Pre-training for Motion Time Series
NeurIPS 2024
UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding
COLING 2024
Universal Segmentation at Arbitrary Granularity with Language Instruction
CVPR 2024
UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions
NAACL 2024
Unleashing Large Language Models’ Proficiency in Zero-shot Essay Scoring
EMNLP 2024
Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting
EMNLP 2024
Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors
CVPR 2024