Papers with LLM state tracker

1 papers
Toward Scalable Verifiable Reward: Proxy State-Based Evaluation for Multi-turn Tool-Calling LLM Agents (2026.acl-industry)

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Challenge: Existing agentic benchmarks rely on deterministic backends and are costly to build and iterate.
Approach: They propose a framework that preserves final state-based evaluation without a deterministic database.
Outcome: The proposed framework produces stable, model-differentiating rankings across families and inference-time reasoning efforts.

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