Do LLM Attribution Metrics Transfer? Auditing Retrieval-Augmented Generation Evaluation Across Datasets and Constructs
cs.CL, cs.IR, cs.LG
Submitted: 2026-06-22
Updated: 2026-09-16
Comments: Accepted at GroundLM (Grounding Language Models: Learning Faithfully and Efficiently), a workshop at EMNLP 2026. 16 pages
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution
- Evaluating Evidence Grounding Under User Pressure in Instruction-Tuned Language Models
- Lost in the Noise: How Reasoning Models Fail with Contextual Distractors
- Teaching language models to support answers with verified quotes
- LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA
- GRACE: Reinforcement Learning for Grounded Response and Abstention under Contextual Evidence
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Lessons from Training Grounded LLMs with Verifiable Rewards
- ASQA: Factoid Questions Meet Long-Form Answers
Related papers
- Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
- Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
- Subliminal Steering: Stronger Encoding of Hidden Signals
- MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
- The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
- Untangling the Mechanisms of Misleading Context in Medical Question Answering