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conftrace_

cosine similarity

159 papers

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