Paper Overview
Field: AI/ML Authors: Puneet Mathur, Dinesh Manocha Published: 2026-09-06 arXiv: 2509.00008
Key Points
- Full-duplex voice agents must continuously decide when to listen, backchannel, interrupt, handle speech overlaps, take the floor, and yield the floor.
- Existing benchmarks largely test these behaviors through explicit turn-management instructions, but deployed agents are often configured through roles or personas from which the appropriate conversational behavior must be inferred.
- The authors introduce DuplexSpeechBench-IFEval (DSB-IFEval), a benchmark for evaluating implicit instruction-following in real-time spoken interaction.
- 1,038 test cases spanning eight diverse assistant roles.
- Five conditioning protocols for instruction-following: 1. Default behavior 2. Explicit behavioral instructions 3. Persona-implied behavior 4. Combined persona-rule conditioning 5. Instruction conflict
- Metrics:
- Deterministic Instruction Adherence Score (IAS) for real-time floor management.
- LLM-judged Persona Adherence Score (PAS) for persona-consistent content.
- Architecture-dependent trade-offs were observed.
- Full-duplex models such as F-Actor and PersonaPlex are sensitive to whether conversational behavior is explicitly stated or must be inferred from a persona, with adherence dropping by 9.7% and 4.5% respectively under persona-only conditions.
- GPT-Realtime, MiniCPM-o, and Fun-Audio-Chat strongly follow persona-consistent content, but their floor-taking behavior does not adapt between explicit and persona-only instructions, and they remain restricted on several proactive actions.
- Even when systems reliably follow instructions that conflict with their assigned persona, they struggle to override persona instructions under safety conflicts.
Benchmark Design
Findings Across Six Real-Time Speech Systems
Conclusion
Inferring persona-implied behavior, executing it at the appropriate conversational moment, and resolving competing instructions remain distinct challenges for full-duplex voice agents.
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*Original abstract:*
> Full-duplex voice agents must continuously decide when to listen, backchannel, interrupt, handle speech overlaps, take the floor, and yield. Existing benchmarks largely test these behaviors through explicit turn-management instructions, while deployed agents are often configured through roles or personas from which the appropriate conversational behavior must be inferred. We introduce DuplexSpeechBench-IFEval (DSB-IFEval) for evaluating implicit instruction-following in real-time spoken interaction. DSB-IFEval comprises 1,038 test cases spanning eight diverse assistant roles and evaluates five conditioning protocols for instruction-following: default behavior, explicit behavioral instructions, persona-implied behavior, combined persona--rule conditioning, and instruction conflict. We measu...
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*Auto-collected on 2026-09-06*