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conftrace_

embedding model

83 papers

EM

Papers

A Unified Turkic Idiom Understanding Benchmark: Idiom Detection and Semantic Retrieval Across Five Turkic Languages EACL 2026 COGNAC at SemEval-2026 Task 4: Evaluating Narrative Components with LLMs for Hard Story Similarity Cases SemEval 2026 Enhancing Two Steps Textual Anomaly Detection through Anisotropy Mitigation ACL 2026 Lenses: Toward Polysemous Vision-Language Understanding CVPR 2026 Measuring and Mitigating Racial Bias in Embedding Models: A Comparative Study for Law Enforcement Retrieval ACL 2026 Mind Your Special Tokens! On the Importance of Dedicated Sequence-End Tokens in Vision-Language Embedding Models EACL 2026 Polito Team at SemEval-2026 Task 8: Scaling Multi-Turn RAG: High-Performance Parallelized Pipeline for the MTRAG Benchmark SemEval 2026 RATE: Reviewer Profiling and Annotation-free Training for Expertise Ranking in Peer Review Systems ACL 2026 Retrieval Enhancements for RAG: Insights from a Deployed Customer Support Chatbot EACL 2026 Semi-Supervised Synthetic Data Generation with Fine-Grained Relevance Control for Short Video Search Relevance Modeling AAAI 2026 Similar, but why? A Toolkit for Explaining Text Similarity EACL 2026 SlugRAG at SemEval-2026 Task 8: Domain-Specific Fine-Tuning and Model Scaling for Multi-Turn RAG Retrieval SemEval 2026 1-800-SHARED-TASKS at RegNLP: Lexical Reranking of Semantic Retrieval (LeSeR) for Regulatory Question Answering COLING 2025 A Comparison of Independent and Joint Fine-tuning Strategies for Retrieval-Augmented Generation EMNLP 2025 A REGNLP Framework: Developing Retrieval-Augmented Generation for Regulatory Document Analysis COLING 2025 Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models ACL 2025 Can’t Hide Behind the API: Stealing Black-Box Commercial Embedding Models NAACL 2025 Co-Evolving LLMs and Embedding Models via Density-Guided Preference Optimization for Text Clustering EMNLP 2025 Drift-Adapter: A Practical Approach to Near Zero-Downtime Embedding Model Upgrades in Vector Databases EMNLP 2025 DRUM: Learning Demonstration Retriever for Large MUlti-modal Models ACL 2025 EKRAG: Benchmark RAG for Enterprise Knowledge Question Answering NAACL 2025 Embedding-Free RAG EMNLP 2025 EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport Alignments EMNLP 2025 Enhancing Regulatory Compliance Through Automated Retrieval, Reranking, and Answer Generation COLING 2025 Enhancing Retrieval for ESGLLM via ESG-CID: A Disclosure Content Index Finetuning Dataset for Mapping GRI and ESRS ACL 2025