Yang Wj

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upvoted 4 papers 1 day ago

D2LLM: Decomposed and Distilled Large Language Models for Semantic Search

Paper • 2406.17262 • Published Jun 25, 2024 • 6

E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning

Paper • 2409.06679 • Published Sep 10, 2024 • 5

SOLAR: Self-supervised Joint Learning for Symmetric Multimodal Retrieval

Paper • 2605.15868 • Published 21 days ago • 9

Domain-Specific Data Synthesis for LLMs via Minimal Sufficient Representation Learning

Paper • 2605.30039 • Published 7 days ago • 17

upvoted a paper 7 days ago

ML-Embed: Inclusive and Efficient Embeddings for a Multilingual World

Paper • 2605.15081 • Published 22 days ago • 11

upvoted a paper 25 days ago

Beyond Retrieval: A Multitask Benchmark and Model for Code Search

Paper • 2605.04615 • Published about 1 month ago • 23

upvoted a paper about 1 month ago

TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale

Paper • 2604.21889 • Published Apr 23 • 12

upvoted a paper 2 months ago

QuitoBench: A High-Quality Open Time Series Forecasting Benchmark

Paper • 2603.26017 • Published Mar 27 • 31

upvoted a paper 3 months ago

F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World

Paper • 2603.19223 • Published Mar 19 • 34

upvoted a paper 4 months ago

C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling

Paper • 2512.21332 • Published Dec 24, 2025 • 17

upvoted a paper 8 months ago

F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data

Paper • 2510.02294 • Published Oct 2, 2025 • 48

upvoted a paper 12 months ago

Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions

Paper • 2410.06577 • Published Oct 9, 2024 • 14

upvoted 2 papers about 1 year ago

Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM

Paper • 2503.17793 • Published Mar 22, 2025 • 24

Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks

Paper • 2505.16901 • Published May 22, 2025 • 48