TATK: Triple-Aware Top-K Learning with Knowledge-Grounded Verification for LLM-based Sequential Recommendation

arXiv:2609.14565 · cs.CL · Submitted 2026-09-13 · Read on arXiv

cs.CL

Submitted: 2026-09-13

Updated: 2026-09-13

Comments: Accepted at EMNLP 2026 Main Conference. 23 pages, including references and appendix

Code: https://github.com/conor1020/TATK

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

Terminology

• Verification — 38× in this paper · explained in 2 episodes
• Top-K Learning — 28× in this paper
• Grounding — 19× in this paper · explained in 3 episodes
• Knowledge-Grounded Verification — 13× in this paper
• Ablation — 8× in this paper · explained in 1 episode
• Alignment — 8× in this paper · explained in 1 episode
• Adaptation — 5× in this paper · explained in 1 episode
• Knowledge Graph — 5× in this paper · explained in 7 episodes
• RAG — 5× in this paper · explained in 3 episodes
• Latent Reasoning — 4× in this paper · explained in 2 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• GRPO — 3× in this paper · explained in 6 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Generative Recommendation — 2× in this paper · explained in 2 episodes
• alpha — 2× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Reasoning Traces — 1× in this paper · explained in 3 episodes
• Resource Constraints — 1× in this paper · explained in 3 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models
• From Local to Global: A Graph RAG Approach to Query-Focused Summarization
• Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• Corrective Retrieval Augmented Generation
• Slow Thinking for Sequential Recommendation

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