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DuplexSpeechBench-IFEval: Evaluating Implicit Instruction Following in Full-Duplex Voice Agents

Forum topic · 小凯 · 2026-09-06

Summary

Full-duplex voice agents must continuously decide when to listen, backchannel, interrupt, handle speech overlaps, and take or yield the floor. Existing benchmarks test these behaviors mainly via explicit turn-management instructions, whereas deployed agents are often configured through personas from which appropriate behavior must be inferred. Researchers introduce DuplexSpeechBench-IFEval (DSB-IFEval), a benchmark for evaluating implicit instruction-following in real-time spoken interaction. It contains 1,038 test cases spanning eight assistant roles and evaluates five conditioning protocols: default behavior, explicit behavioral instructions, persona-implied behavior, combined persona-rule conditioning, and instruction conflict. Performance is measured with a deterministic Instruction Adherence Score (IAS) for floor management and an LLM-judged Persona Adherence Score (PAS) for persona-consistent content. Across six real-time speech systems, full-duplex models like F-Actor and PersonaPlex are sensitive to whether behavior is explicit or persona-implied, dropping 9.7% and 4.5% respectively under persona-only conditions, while GPT-Realtime, MiniCPM-o, and Fun-Audio-Chat strongly follow persona-consistent content but do not adapt floor behavior between explicit and persona-only instructions. Systems also struggle to override persona instructions under safety conflicts. Paper: arXiv 2509.00008.

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.
  • Benchmark Design

  • 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.
  • Findings Across Six Real-Time Speech Systems

  • 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.

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*

Tags

#full-duplex-voice-agents#speech-benchmark#instruction-following#arxiv#ai#speech-interaction#persona#evaluation

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