Full-Duplex-Bench-v3: Benchmarking Tool Use for Full-Duplex Voice Agents Under Real-World Disfluency
On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks
Abstract (arXiv)
We introduce Full-Duplex-Bench-v3 (FDB-v3), a benchmark for evaluating spoken language models under naturalistic speech conditions and multi-step tool use. Unlike prior work, our dataset consists entirely of real human audio annotated for five disfluency categories, paired with scenarios requiring chained API calls across four task domains. We evaluate six model configurations -- GPT-Realtime, Gemini Live 2.5, Gemini Live 3.1, Grok, Ultravox v0.7, and a traditional Cascaded pipeline (WhisperrightarrowGPT-4orightarrowTTS) -- across accuracy, latency, and turn-taking dimensions. GPT-Realtime leads on Pass@1 (0.600) and interruption avoidance (13.5%); Gemini Live 3.1 achieves the fastest latency (4.25~s) but the lowest turn-take rate (78.0%); and the Cascaded baseline, despite a perfect turn-take rate, incurs the highest latency (10.12~s). Across all systems, self-correction handling and multi-step reasoning under hard scenarios remain the most consistent failure modes.
Key facts. Cited by 29 papers in the map (data through 7 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 13 of its 17 references that are in the map. First posted on arXiv 6 Apr 2026.
Builds on
13 of 17 references.
Closest ancestors · 2
Same direction, newest first
- 2026τ-Voice: Benchmarking Full-Duplex Voice Agents on Real-World Domains14 Mar
- 2025VoiceAgentBench: Are Voice Assistants ready for agentic tasks?9 Oct
Other references · 11
- 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
- 2023ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIscited by 1,880
- 2024Moshi: a speech-text foundation model for real-time dialoguecited by 536
- 2023AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Headcited by 264
- 2025Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilitiescited by 94
- 2025Full-Duplex-Bench v1.5: Evaluating Overlap Handling for Full-Duplex Speech Modelscited by 53
- 2025Full-Duplex-Bench-v2: A Multi-Turn Evaluation Framework for Duplex Dialogue Systems with an Automated Examinercited by 38
- 2024Speech-Copilot: Leveraging Large Language Models for Speech Processing via Task Decomposition, Modularization, and Program Generationcited by 27
- 2025SHANKS: Simultaneous Hearing and Thinking for Spoken Language Modelscited by 16
- 2025AgentChangeBench: A Multi-Dimensional Evaluation Framework for Goal-Shift Robustness in Conversational AIcited by 6
- 2025Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented Generationcited by 5
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Citing papers per year: 2026: 29.
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- 2026IHBench: Evaluating Post-Interruption Recovery in Voice Agents with Structured Workflowscited by 5
- 2026TurnBench: A Multi-Domain Benchmark for Turn-Taking Dynamics in Spoken Dialoguecited by 4
- 2026OmniInteract: Benchmarking Real-World Streaming Interaction for Real-Time Omnimodal Assistantscited by 3
- 2026NemotronLabs VoiceChat: An Open Full-duplex Speech-to-Speech Model with Tool Calling Capabilitiescited by 3
- 2026MSI-Bench: Evaluating Multi-Speaker Voice Interaction for Collaborative AI Agentscited by 3
- 2026Overcoming State Inertia in Full-Duplex Spoken Language Models via Activation Steeringcited by 2
- 2026DuplexWorld: Can voice agents help you get through the day?cited by 2
- 2026MP-Bench: Evaluating Voice Agents as a Multiparty Conversation Participantcited by 2
- 2026Realtime-Venus: A full-duplex interaction system with asynchronous delegationcited by 2
- 2026SpeechGym: An Audio-Native Gym for Training Voice Agents via Reinforcement Learningcited by 1
- 2026DuplexSpeechBench-IFEval: Evaluating Implicit Instruction Following in Full-Duplex Voice Agentscited by 1
- 2026A frontend-backend architecture for tool calls in full-duplex speech modelscited by 1
17 more
- 2026Qwen-Audio-3.1-Realtime: Towards Reliable Agentic Voice Interactioncited by 1
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- 2026Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Modelscited by 0
- 2026Should We Type or Talk to LLM Agents? A Comprehensive Study of Voice and Keyboard Input Perturbationscited by 0
- 2026PACE: A Playback-Aligned Context Engine for LLM-Based Full-Duplex Voice Dialoguecited by 0
- 2026Auditing Bias and Safety in Voice AI Customer Carecited by 0
- 2026Continue, Adapt, or Yield: In-Turn Adaptation to Overlapping Speech in Full-Duplex Agentscited by 0
- 2026τ-Elicitation: Benchmarking multi-turn entity extraction in voice agentscited by 0
- 2026Neither Silence nor Overlap Is Failure: Intent-Conditioned Evaluation of Turn-Taking in Full-Duplex Spoken Dialogue Modelscited by 0
- 2026Evaluating Real-Time Voice Agents: From Component Quality to Grounded Outcomescited by 0
- 2026Context Spanning: A Communication Framework for Full-Duplex Speech Models and External LLM Backendscited by 0
- 2026τ-Multilingual: Benchmarking Voice Agents Across Languagescited by 0
- 2026Almost Human, Except When It Matters: VoxParity and the Decisions a Voice Should Changecited by 0
- 2026DuplexAct-Bench: Broadening Full-Duplex Speech Evaluation toward Proactive Interaction across Diverse Behavioral Requirementscited by 0
- 2026DuplexSpeechBench-Document Grounding: Benchmarking Document Grounding and Hallucinations in Voice Agentscited by 0
- 2026Prompts versus Rules: Auditing and Controlling Speech Naturalness Behaviors in Voice User Simulatorscited by 0
- 2026DuplexAgent-RSI: Recursive Harness Improvement for Full-Duplex Voice Agent Collaborationcited by 0
- 2026DuplexAgent-RSI: Recursive Harness Improvement for Full-Duplex Voice Agent Collaboration8 Oct 2026
- 2026Prompts versus Rules: Auditing and Controlling Speech Naturalness Behaviors in Voice User Simulators7 Oct 2026
- 2026DuplexAct-Bench: Broadening Full-Duplex Speech Evaluation toward Proactive Interaction across Diverse Behavioral Requirements30 Sep 2026
- 2026DuplexSpeechBench-Document Grounding: Benchmarking Document Grounding and Hallucinations in Voice Agents29 Sep 2026
- 2026Almost Human, Except When It Matters: VoxParity and the Decisions a Voice Should Change28 Sep 2026
- 2026Context Spanning: A Communication Framework for Full-Duplex Speech Models and External LLM Backends27 Sep 2026
- 2026Evaluating Real-Time Voice Agents: From Component Quality to Grounded Outcomes25 Sep 2026
- 2026Neither Silence nor Overlap Is Failure: Intent-Conditioned Evaluation of Turn-Taking in Full-Duplex Spoken Dialogue Models23 Sep 2026
- 2026τ-Multilingual: Benchmarking Voice Agents Across Languages21 Sep 2026
- 2026Qwen-Audio-3.1-Realtime: Towards Reliable Agentic Voice Interaction21 Sep 2026
- 2026MSI-Bench: Evaluating Multi-Speaker Voice Interaction for Collaborative AI Agents21 Sep 2026
- 2026NemotronLabs VoiceChat: An Open Full-duplex Speech-to-Speech Model with Tool Calling Capabilities18 Sep 2026
17 more
- 2026A frontend-backend architecture for tool calls in full-duplex speech models16 Sep 2026
- 2026Realtime-Venus: A full-duplex interaction system with asynchronous delegation12 Sep 2026
- 2026τ-Elicitation: Benchmarking multi-turn entity extraction in voice agents11 Sep 2026
- 2026Continue, Adapt, or Yield: In-Turn Adaptation to Overlapping Speech in Full-Duplex Agents11 Sep 2026
- 2026MP-Bench: Evaluating Voice Agents as a Multiparty Conversation Participant11 Sep 2026
- 2026DuplexSpeechBench-IFEval: Evaluating Implicit Instruction Following in Full-Duplex Voice Agents3 Sep 2026
- 2026SpeechGym: An Audio-Native Gym for Training Voice Agents via Reinforcement Learning26 Aug 2026
- 2026TurnBench: A Multi-Domain Benchmark for Turn-Taking Dynamics in Spoken Dialogue25 Aug 2026
- 2026DuplexWorld: Can voice agents help you get through the day?11 Aug 2026
- 2026PACE: A Playback-Aligned Context Engine for LLM-Based Full-Duplex Voice Dialogue7 Aug 2026
- 2026Should We Type or Talk to LLM Agents? A Comprehensive Study of Voice and Keyboard Input Perturbations4 Aug 2026
- 2026Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models3 Aug 2026
- 2026CallScreenBench: Benchmarking Small Language Models as Phone Secretaries2 Aug 2026
- 2026IHBench: Evaluating Post-Interruption Recovery in Voice Agents with Structured Workflows17 Jun 2026
- 2026Overcoming State Inertia in Full-Duplex Spoken Language Models via Activation Steering9 Jun 2026
- 2026OmniInteract: Benchmarking Real-World Streaming Interaction for Real-Time Omnimodal Assistants26 May 2026
- 2026Auditing Bias and Safety in Voice AI Customer Care18 May 2026
- 2026IHBench: Evaluating Post-Interruption Recovery in Voice Agents with Structured Workflowscited by 5
- 2026DuplexWorld: Can voice agents help you get through the day?cited by 2
- 2026SpeechGym: An Audio-Native Gym for Training Voice Agents via Reinforcement Learningcited by 1
- 2026DuplexSpeechBench-IFEval: Evaluating Implicit Instruction Following in Full-Duplex Voice Agentscited by 1
- 2026A frontend-backend architecture for tool calls in full-duplex speech modelscited by 1
- 2026Qwen-Audio-3.1-Realtime: Towards Reliable Agentic Voice Interactioncited by 1
- 2026Should We Type or Talk to LLM Agents? A Comprehensive Study of Voice and Keyboard Input Perturbationscited by 0
- 2026Evaluating Real-Time Voice Agents: From Component Quality to Grounded Outcomescited by 0
- 2026DuplexSpeechBench-Document Grounding: Benchmarking Document Grounding and Hallucinations in Voice Agentscited by 0
- 2026DuplexSpeechBench-Document Grounding: Benchmarking Document Grounding and Hallucinations in Voice Agents29 Sep 2026
- 2026Evaluating Real-Time Voice Agents: From Component Quality to Grounded Outcomes25 Sep 2026
- 2026Qwen-Audio-3.1-Realtime: Towards Reliable Agentic Voice Interaction21 Sep 2026
- 2026A frontend-backend architecture for tool calls in full-duplex speech models16 Sep 2026
- 2026DuplexSpeechBench-IFEval: Evaluating Implicit Instruction Following in Full-Duplex Voice Agents3 Sep 2026
- 2026SpeechGym: An Audio-Native Gym for Training Voice Agents via Reinforcement Learning26 Aug 2026
- 2026DuplexWorld: Can voice agents help you get through the day?11 Aug 2026
- 2026Should We Type or Talk to LLM Agents? A Comprehensive Study of Voice and Keyboard Input Perturbations4 Aug 2026
- 2026IHBench: Evaluating Post-Interruption Recovery in Voice Agents with Structured Workflows17 Jun 2026
- 2026TurnBench: A Multi-Domain Benchmark for Turn-Taking Dynamics in Spoken Dialoguecited by 4
- 2026OmniInteract: Benchmarking Real-World Streaming Interaction for Real-Time Omnimodal Assistantscited by 3
- 2026NemotronLabs VoiceChat: An Open Full-duplex Speech-to-Speech Model with Tool Calling Capabilitiescited by 3
- 2026MSI-Bench: Evaluating Multi-Speaker Voice Interaction for Collaborative AI Agentscited by 3
- 2026Overcoming State Inertia in Full-Duplex Spoken Language Models via Activation Steeringcited by 2
- 2026MP-Bench: Evaluating Voice Agents as a Multiparty Conversation Participantcited by 2
- 2026Realtime-Venus: A full-duplex interaction system with asynchronous delegationcited by 2
- 2026CallScreenBench: Benchmarking Small Language Models as Phone Secretariescited by 0
- 2026Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Modelscited by 0
- 2026PACE: A Playback-Aligned Context Engine for LLM-Based Full-Duplex Voice Dialoguecited by 0
- 2026Auditing Bias and Safety in Voice AI Customer Carecited by 0
- 2026Continue, Adapt, or Yield: In-Turn Adaptation to Overlapping Speech in Full-Duplex Agentscited by 0
12 most cited of 20 All 20 (JSON)
- 2026DuplexAgent-RSI: Recursive Harness Improvement for Full-Duplex Voice Agent Collaboration8 Oct 2026
- 2026Prompts versus Rules: Auditing and Controlling Speech Naturalness Behaviors in Voice User Simulators7 Oct 2026
- 2026DuplexAct-Bench: Broadening Full-Duplex Speech Evaluation toward Proactive Interaction across Diverse Behavioral Requirements30 Sep 2026
- 2026Almost Human, Except When It Matters: VoxParity and the Decisions a Voice Should Change28 Sep 2026
- 2026Context Spanning: A Communication Framework for Full-Duplex Speech Models and External LLM Backends27 Sep 2026
- 2026Neither Silence nor Overlap Is Failure: Intent-Conditioned Evaluation of Turn-Taking in Full-Duplex Spoken Dialogue Models23 Sep 2026
- 2026τ-Multilingual: Benchmarking Voice Agents Across Languages21 Sep 2026
- 2026MSI-Bench: Evaluating Multi-Speaker Voice Interaction for Collaborative AI Agents21 Sep 2026
- 2026NemotronLabs VoiceChat: An Open Full-duplex Speech-to-Speech Model with Tool Calling Capabilities18 Sep 2026
- 2026Realtime-Venus: A full-duplex interaction system with asynchronous delegation12 Sep 2026
- 2026τ-Elicitation: Benchmarking multi-turn entity extraction in voice agents11 Sep 2026
- 2026Continue, Adapt, or Yield: In-Turn Adaptation to Overlapping Speech in Full-Duplex Agents11 Sep 2026
12 newest of 20 All 20 (JSON)
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