Showing 2025 · cs.CLShow all
3 papers · 2 filters
cs.CL2025
Finetune Once: Decoupling General & Domain Learning with Dynamic Boosted Annealing
Yang Tang, Ruijie Liu, Yifan Wang +2
Large language models (LLMs) fine-tuning shows excellent implications. However, vanilla fine-tuning methods often require intricate data mixture and repeated experiments for optima…
cs.CL2025
ReSeek: A Self-Correcting Framework for Search Agents with Instructive Rewards
Shiyu Li, Yang Tang, Yifan Wang +2
Search agents powered by Large Language Models (LLMs) have demonstrated significant potential in tackling knowledge-intensive tasks. Reinforcement learning (RL) has emerged as a po…
cs.CL2025
Conan-Embedding-v2: Training an LLM from Scratch for Text Embeddings
Shiyu Li, Yang Tang, Ruijie Liu +2
Large language models (LLMs) have recently demonstrated excellent performance in text embedding tasks. Previous work usually use LoRA to fine-tune existing LLMs, which are limited…