GenCAR: Generative Counterfactual Alignment with Risk-Controlled Selection for Out-of-Distribution Recommendation

arXiv:2609.02162 · cs.IR, cs.LG · Submitted 2026-09-02 · Read on arXiv

cs.IR, cs.LG

Submitted: 2026-09-02

Updated: 2026-09-02

Comments: 19 pages, 8 figures, 7 tables

Code: https://github.com/nikewq/GenCAR-release

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Calibration — 43× in this paper · explained in 7 episodes
• Alignment — 39× in this paper · explained in 1 episode
• Embeddings — 9× in this paper · explained in 2 episodes
• Distribution Shift — 8× in this paper · explained in 5 episodes
• Exchangeability — 7× in this paper · explained in 2 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Conformal Prediction — 4× in this paper · explained in 5 episodes
• Representation Learning — 4× in this paper · explained in 2 episodes
• Abstention — 3× in this paper · explained in 1 episode
• Alignment Scores — 3× in this paper · explained in 1 episode
• Diffusion Model — 3× in this paper · explained in 8 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Two-Stage Framework — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Approximation Bound — 1× in this paper · explained in 1 episode
• Causal Inference — 1× in this paper · explained in 4 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Exposure Bias — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Generative Recommendation — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Heterogeneous Graph — 1× in this paper · explained in 2 episodes
• IEEE International Conference on Data Mining — 1× in this paper
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Perplexity — 1× in this paper · explained in 3 episodes
• Principal Component Analysis (PCA) — 1× in this paper · explained in 4 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Structural Causal Model (SCM) — 1× in this paper · explained in 4 episodes

Sources

• Invariant Risk Minimization
• BPR: Bayesian Personalized Ranking from Implicit Feedback

Related papers

• The Price of Isolation: Estimating the Ecosystem Cost of Symmetric Two-Sided A/B Testing
• SCAR: Semantic Continuity-Aware Retrieval for Efficient Context Expansion in RAG
• MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora
• How Do LLM-Generated Texts Impact Term-Based Retrieval Models?
• MemSyco-Bench: Benchmarking Sycophancy in Agent Memory
• Training with Missed Targets in Generative Recommendation: Separating Supervision from Probability Competition