🎯 Embedding Models - rektide · Scour

XITE: Cross-lingual Interpolation for Transfer using Embeddings 📉Embeddings Optimization

MoRFI: Monotonic Sparse Autoencoder Feature Identification 🔍SPLADE

Adaptive and Fine-grained Module-wise Expert Pruning for Efficient LoRA-MoE Fine-Tuning 📏ANN Benchmarks

MMEB-V3: Measuring the Performance Gaps of Omni-Modality Embedding Models 📉Embeddings Optimization

PAINT: Partial-Solution Adaptive Interpolated Training for Self-Distilled Reasoners 🧮SMT Solvers

Large Language Models for Multilingual Code Intelligence: A Survey 🧮Constraint Solvers

MIPIC: Matryoshka Representation Learning via Self-Distilled Intra-Relational and Progressive Information Chaining 🔍SPLADE

TLPO: Token-Level Policy Optimization for Mitigating Language Confusion in Large Language Models 🤖AI Agents

A Survey on Split Learning for LLM Fine-Tuning: Models, Systems, and Privacy Optimizations 🧮SMT Solvers

SEAL: Semantic-aware Single-image Sticker Personalization with a Large-scale Sticker-tag Dataset 🎯Vector Search

Robust Representation Learning through Explicit Environment Modeling 📉Embeddings Optimization

Benchmarking PyCaret AutoML Against IndoBERT Fine-Tuning for Sentiment Analysis on Indonesian IKN Twitter Data 🔍Information Retrieval

Differentially Private Contrastive Learning via Bounding Group-level Contribution 📉Embeddings Optimization

A Multi-Dimensional Audit of Politically Aligned Large Language Models 🔍Information Retrieval

Domain Fine-Tuning vs. Retrieval-Augmented Generation for Medical Multiple-Choice Question Answering: A Controlled Comparison at the 4B-Parameter Scale 🔍Information Retrieval

CroSearch-R1: Better Leveraging Cross-lingual Knowledge for Retrieval-Augmented Generation 🔍Information Retrieval

Cross-Lingual Jailbreak Detection via Semantic Codebooks 🔍Information Retrieval

Pref-CTRL: Preference Driven LLM Alignment using Representation Editing 🧮SMT Solvers

Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora 🧮SMT Solvers

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling 🧮SMT Solvers

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