Co-occurring keywords · papers mentioning both
Papers
Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings
COLING 2025
silp_nlp at SemEval-2025 Task 5: Subject Recommendation With Sentence Transformer
SemEval 2025
Test-Time Multimodal Backdoor Detection by Contrastive Prompting
ICML 2025
The Double-Ellipsoid Geometry of CLIP
ICML 2025
Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity
ICLR 2025
Understanding the Modality Gap: An Empirical Study on the Speech-Text Alignment Mechanism of Large Speech Language Models
EMNLP 2025
UWBa at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
SemEval 2025
S^2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
ICML 2024
AoE: Angle-optimized Embeddings for Semantic Textual Similarity
ACL 2024
Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks
ICML 2024
Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy
EMNLP 2024
Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity
EMNLP 2024
Enhanced Optical Character Recognition by Optical Sensor Combined with BERT and Cosine Similarity Scoring (Student Abstract)
AAAI 2024
Homophone2Vec: Embedding Space Analysis for Empirical Evaluation of Phonological and Semantic Similarity
ACL 2024
IRIT-Berger-Levrault at SemEval-2024: How Sensitive Sentence Embeddings are to Hallucinations?
SemEval 2024
LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models
ACL 2024
MARiA at SemEval 2024 Task-6: Hallucination Detection Through LLMs, MNLI, and Cosine similarity
SemEval 2024
MTNLP-IIITH: Machine Translation for Low-Resource Indic Languages
EMNLP 2024
NLU-STR at SemEval-2024 Task 1: Generative-based Augmentation and Encoder-based Scoring for Semantic Textual Relatedness
SemEval 2024
Personality Differences Drive Conversational Dynamics: A High-Dimensional NLP Approach
EMNLP 2024
scaLAR SemEval-2024 Task 1: Semantic Textual Relatednes for English
SemEval 2024
T5-Medical at SemEval-2024 Task 2: Using T5 Medical Embedding for Natural Language Inference on Clinical Trial Data
SemEval 2024
What Makes a Good Prune? Maximal Unstructured Pruning for Maximal Cosine Similarity
ICLR 2024
Why Does New Knowledge Create Messy Ripple Effects in LLMs?
EMNLP 2024
Your Transformer is Secretly Linear
ACL 2024