Task-Level Natural Language Priors as Learning Signals for Low-Resource LLM Training

arXiv:2609.02244 · cs.AI · Submitted 2026-09-02 · Read on arXiv

cs.AI

Submitted: 2026-09-02

Updated: 2026-09-02

Terminology

• Fine-Tuning — 52× in this paper · explained in 5 episodes
• Accuracy — 23× in this paper · explained in 1 episode
• Benchmark — 9× in this paper · explained in 2 episodes
• Steering — 8× in this paper · explained in 2 episodes
• Contrastive Prior Steering — 7× in this paper
• Prior-Guided Tuning — 7× in this paper
• Robustness — 7× in this paper · explained in 5 episodes
• Alignment — 6× in this paper · explained in 1 episode
• Generalization — 4× in this paper · explained in 13 episodes
• Instruction Tuning — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Feature Selection — 2× in this paper · explained in 4 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Chain-of-Thought (CoT) — 1× in this paper · explained in 4 episodes
• Direct Preference Optimization (DPO) — 1× in this paper · explained in 9 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• Natural Language Inference (NLI) — 1× in this paper · explained in 2 episodes
• Reasoning Traces — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes

Sources

• The Llama 3 Herd of Models
• Fine-tuning and Utilization Methods of Domain-specific LLMs
• Qwen2.5 Technical Report
• ERNIE: Enhanced Representation through Knowledge Integration
• KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance

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