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PredAct-Bench: Benchmarking Tool-Augmented Dialogue under Controlled Tool Noise
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers released PredAct-Bench, a benchmark evaluating agentic LLM performance when interacting with noisy external APIs and tools.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 4 November 2026
- Collected by OneBench
- 4 Aug 2026, 13:23 UK
Stored source excerpt
arXiv:2608.02372v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly deployed in task-oriented dialogue systems that support multi-step decision-making in high-stakes domains such as…
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