Self-Boosting Large Language Models with Synthetic Preference Data
Paper • 2410.06961 • Published • 16
LLMs
-
-
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 381 -
SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation
Paper • 2412.13649 • Published • 21 -
NeoBERT: A Next-Generation BERT
Paper • 2502.19587 • Published • 39 -
Think Inside the JSON: Reinforcement Strategy for Strict LLM Schema Adherence
Paper • 2502.14905 • Published • 10 -
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?
Paper • 2502.14502 • Published • 93 -
From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
Paper • 2502.14802 • Published • 15 -
LLM Pretraining with Continuous Concepts
Paper • 2502.08524 • Published • 30 -
MMTEB: Massive Multilingual Text Embedding Benchmark
Paper • 2502.13595 • Published • 50 -
Large-Scale Data Selection for Instruction Tuning
Paper • 2503.01807 • Published • 14 -
Fine-Tuning Small Language Models for Domain-Specific AI: An Edge AI Perspective
Paper • 2503.01933 • Published • 13 -
On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability
Paper • 2608.30320 • Published • 58 -
Causal Foundation Models
Paper • 2609.03003 • Published • 24