ChunkRank: Model-Aware Text Chunking and Abstention-Aware Answer Selection for LLM Pipelines

arXiv:2609.29828 · cs.CL · Submitted 2026-09-24 · Read on arXiv

cs.CL

Submitted: 2026-09-24

Updated: 2026-09-24

Code: https://github.com/AmitoVrito/chunkrank

Terminology

• Transformer — 18× in this paper · explained in 2 episodes
• RAG — 11× in this paper · explained in 3 episodes
• Abstention — 10× in this paper · explained in 1 episode
• Benchmark — 8× in this paper · explained in 2 episodes
• Cosine Similarity — 4× in this paper · explained in 3 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Core — 3× in this paper · explained in 2 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Tokenization — 3× in this paper · explained in 2 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Exact Match — 2× in this paper
• Multi-hop Reasoning — 2× in this paper · explained in 3 episodes
• Positional Bias — 2× in this paper · explained in 2 episodes
• Semantic Similarity — 2× in this paper · explained in 2 episodes
• Abstraction — 1× 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
• Consistency — 1× in this paper · explained in 3 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Edge Deployment — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes

Sources

• MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
• From Local to Global: A Graph RAG Approach to Query-Focused Summarization
• Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
• REALM: Retrieval-Augmented Language Model Pre-Training
• RoBERTa: A Robustly Optimized BERT Pretraining Approach
• Passage Re-ranking with BERT
• GPT-4 Technical Report
• REPLUG: Retrieval-Augmented Black-Box Language Models

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