CypherTurn: A Multi-Turn Benchmark for Conversational Text-to-Cypher Evaluation and the Autonomy Divergence

arXiv:2609.36987 · cs.CL · Submitted 2026-09-29 · Read on arXiv

cs.CL

Submitted: 2026-09-29

Updated: 2026-09-29

Code: https://github.com/BarryQ/CypherTurn

Terminology

• Benchmark — 45× in this paper · explained in 2 episodes
• Knowledge Graph — 22× in this paper · explained in 7 episodes
• Accuracy — 19× in this paper · explained in 1 episode
• Knowledge graphs — 14× in this paper · explained in 2 episodes
• Aggregation — 13× in this paper · explained in 1 episode
• Fine-Tuning — 11× in this paper · explained in 5 episodes
• Text-to-SQL — 8× in this paper · explained in 3 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Agentic Evaluation — 6× in this paper · explained in 1 episode
• Action Space — 5× in this paper · explained in 1 episode
• Reinforcement Learning — 5× in this paper · explained in 4 episodes
• Provenance — 4× in this paper · explained in 3 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Annotator Agreement — 3× in this paper · explained in 1 episode
• Chain Error Rate — 3× in this paper
• Verification — 3× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• DeepSeek Sparse Attention — 2× in this paper
• Grounding — 2× in this paper · explained in 3 episodes
• Mixture-of-Experts (MoE) — 2× in this paper · explained in 7 episodes
• Sparse Attention — 2× in this paper · explained in 5 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Agentic Coding — 1× in this paper · explained in 1 episode
• Agentic Task — 1× in this paper · explained in 1 episode
• Agentic Tasks — 1× in this paper · explained in 1 episode
• Agentic Workflows — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Graceful Degradation — 1× in this paper · explained in 2 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Multi-hop Reasoning — 1× in this paper · explained in 3 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Provenance Subgraph Jaccard Similarity — 1× in this paper
• Query Complexity — 1× in this paper · explained in 2 episodes
• Session Exact Match — 1× in this paper
• Trace — 1× in this paper · explained in 2 episodes

Sources

• DeepSeek-V3 Technical Report
• GLM-5: from Vibe Coding to Agentic Engineering
• The Llama 3 Herd of Models
• BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation for Large Language Models via Lens of Dynamic Interactions
• Multi-turn Natural Language to Graph Query Language Translation
• Text2GraphQuery-Bench: A Text to Graph Query Benchmark
• STRuCT-LLM: Unifying Tabular and Graph Reasoning with Reinforcement Learning for Semantic Parsing
• Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
• MiMo-V2-Flash Technical Report
• Gemma 2: Improving Open Language Models at a Practical Size
• Kimi K2.5: Visual Agentic Intelligence
• ERNIE 5.0 Technical Report
• Qwen3 Technical Report
• ReAct: Synergizing Reasoning and Acting in Language Models

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