Unifying Conformal Language Tasks with In-Context Ensembles

arXiv:2609.03005 · cs.CL, cs.LG, stat.ML · Submitted 2026-09-02 · Read on arXiv

cs.CL, cs.LG, stat.ML

Submitted: 2026-09-02

Updated: 2026-09-02

Code: https://github.com/layer6ailabs/conformal-relevance

Terminology

• Calibration — 38× in this paper · explained in 7 episodes
• Conformal Prediction — 28× in this paper · explained in 5 episodes
• Ablation — 17× in this paper · explained in 1 episode
• Aggregation — 17× in this paper · explained in 1 episode
• Exchangeability — 13× in this paper · explained in 2 episodes
• Embeddings — 8× in this paper · explained in 2 episodes
• In-Context Learning — 7× in this paper · explained in 4 episodes
• Robustness — 7× in this paper · explained in 5 episodes
• Score Function — 6× in this paper · explained in 4 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Empirical Coverage — 3× in this paper · explained in 2 episodes
• Prompt Engineering — 3× in this paper · explained in 4 episodes
• RAG — 3× in this paper · explained in 3 episodes
• Uncertainty Quantification — 3× in this paper · explained in 8 episodes
• Aggregation Function — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Compositional Generalization — 2× in this paper · explained in 4 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Determinantal Point Process — 2× in this paper
• Empirical Methods in Natural Language Processing — 2× in this paper
• Generalization — 2× in this paper · explained in 13 episodes
• Hallucination — 2× in this paper · explained in 3 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Degeneracy — 1× in this paper · explained in 3 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• In-Context Learning (ICL) — 1× in this paper · explained in 5 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Mean Average Precision — 1× in this paper
• Protected Health Information — 1× in this paper
• Representation Learning — 1× in this paper · explained in 2 episodes
• Superadditivity — 1× in this paper · explained in 2 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• Trustworthy AI Must Account for Interactions
• Evidence Inference 2.0: More Data, Better Models
• A Survey on In-context Learning
• Conformal Agent Error Attribution
• On the Burden of Achieving Fairness in Conformal Prediction
• Conformal online model aggregation
• Merging uncertainty sets via majority vote
• Aggregating Conformal Prediction Sets via {\alpha}-Allocation
• Conformal Classification with Equalized Coverage for Adaptively Selected Groups

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