SAGE: State-Grounded, Abstention-Aware Evaluation of Task-Oriented Dialogue Agents

arXiv:2609.00434 · cs.AI, cs.CL, cs.LG · Submitted 2026-08-31 · Read on arXiv

cs.AI, cs.CL, cs.LG

Submitted: 2026-08-31

Updated: 2026-08-31

Terminology

• Core — 90× in this paper · explained in 2 episodes
• Abstention — 21× in this paper · explained in 1 episode
• Ablation — 13× in this paper · explained in 1 episode
• LLM judge — 12× in this paper · explained in 2 episodes
• Trace — 8× in this paper · explained in 2 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Grounding — 7× in this paper · explained in 3 episodes
• Verifier — 7× in this paper · explained in 2 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Fidelity — 6× in this paper · explained in 2 episodes
• Robustness — 6× in this paper · explained in 5 episodes
• Transformer — 6× in this paper · explained in 2 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• LLM-as-a-Judge — 3× in this paper · explained in 3 episodes
• Action-Based Conversations Dataset — 2× in this paper
• Aggregation — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Distillation — 2× in this paper · explained in 2 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Annotator Agreement — 1× in this paper · explained in 1 episode
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 1× in this paper
• Generalization — 1× in this paper · explained in 13 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Hallucination Detection — 1× in this paper · explained in 2 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes

Sources

• Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

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