On the (In)effectiveness of AMR Augmentation for Large Language Models

arXiv:2609.40121 · cs.CL, cs.AI · Submitted 2026-09-30 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-30

Updated: 2026-09-30

Code: https://github.com/amrisi/amr-guidelines

Terminology

• Fine-Tuning — 33× in this paper · explained in 5 episodes
• Perplexity — 11× in this paper · explained in 3 episodes
• Core — 7× in this paper · explained in 2 episodes
• AGN — 4× in this paper · explained in 1 episode
• LoRA Adapters — 3× in this paper · explained in 3 episodes
• Text-to-SQL — 3× in this paper · explained in 3 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Commentary — 2× in this paper · explained in 2 episodes
• Downstream Tasks — 2× in this paper · explained in 2 episodes
• F1 Score — 2× in this paper · explained in 3 episodes
• alpha — 2× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Adversarial Natural Language Inference — 1× in this paper
• Aggregation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Graph Construction — 1× in this paper · explained in 3 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Universal Conceptual Cognitive Annotation — 1× in this paper
• While Abstract Meaning Representation — 1× in this paper

Sources

• The Llama 3 Herd of Models
• LoRA: Low-Rank Adaptation of Large Language Models
• LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning
• GPT-4 Technical Report
• Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation
• Qwen3 Technical Report

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