{"total":35,"rows":[{"id":"2504.08528","title":"On The Landscape of Spoken Language Models: A Comprehensive Survey","created":"2025-04-11","cited_by_count":118,"area":null},{"id":"2503.04721","title":"Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities","created":"2025-03-06","cited_by_count":100,"area":null},{"id":"2505.15957","title":"Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey","created":"2025-05-21","cited_by_count":39,"area":null},{"id":"2505.17060","title":"SALMONN-omni: A Standalone Speech LLM without Codec Injection for Full-duplex Conversation","created":"2025-05-17","cited_by_count":27,"area":null},{"id":"2511.10262","title":"MTR-DuplexBench: Towards a Comprehensive Evaluation of Multi-Round Conversations for Full-Duplex Speech Language Models","created":"2025-11-13","cited_by_count":22,"area":null},{"id":"2509.22243","title":"FLEXI: Benchmarking Full-duplex Human-LLM Speech Interaction","created":"2025-09-26","cited_by_count":15,"area":null},{"id":"2509.26388","title":"Game-Time: Evaluating Temporal Dynamics in Spoken Language Models","created":"2025-09-30","cited_by_count":13,"area":null},{"id":"2603.16859","title":"SocialOmni: Benchmarking Audio-Visual Social Interactivity in Omni Models","created":"2026-03-17","cited_by_count":13,"area":null},{"id":"2606.11167","title":"Multi-Faceted Interactivity Alignment in Full-Duplex Speech Models","created":"2026-06-09","cited_by_count":10,"area":null},{"id":"2608.25218","title":"TurnBench: A Multi-Domain Benchmark for Turn-Taking Dynamics in Spoken Dialogue","created":"2026-08-25","cited_by_count":7,"area":null},{"id":"2607.20460","title":"Instruct-FD: Can Your Full-Duplex Speech System Follow Turn-Taking Instructions?","created":"2026-05-15","cited_by_count":6,"area":null},{"id":"2504.10650","title":"Will AI shape the way we speak? The emerging sociolinguistic influence of synthetic voices","created":"2025-04-14","cited_by_count":3,"area":null},{"id":"2604.08125","title":"PolySLGen: Online Multimodal Speaking-Listening Reaction Generation in Polyadic Interaction","created":"2026-04-09","cited_by_count":3,"area":null},{"id":"2607.29125","title":"M3-DuplexBench: A Multi-Turn, Multilingual, Multidomain Benchmark for Full-Duplex Spoken Dialogue Models","created":"2026-07-31","cited_by_count":3,"area":null},{"id":"2605.20356","title":"Synchronization and Turn-Taking in Full-Duplex Speech Dialogue Models","created":"2026-05-19","cited_by_count":2,"area":null},{"id":"2609.13076","title":"MP-Bench: Evaluating Voice Agents as a Multiparty Conversation Participant","created":"2026-09-11","cited_by_count":2,"area":null},{"id":"2605.05626","title":"When2Speak: A Dataset for Temporal Participation and Turn-Taking in Multi-Party Conversations for Large Language Models","created":"2026-05-07","cited_by_count":1,"area":null},{"id":"2607.01345","title":"TurnNat: Automatic Evaluation of Turn-Taking Naturalness in Dyadic Spoken Dialogue","created":"2026-07-01","cited_by_count":1,"area":null},{"id":"2607.22658","title":"StanceBench: A Benchmark for Audio LLM-Based Interpersonal Stance Evaluation from Speech","created":"2026-06-27","cited_by_count":1,"area":null},{"id":"2607.26178","title":"DuplexGen: Adaptive Synthesis of Human-AI Turn-Taking Dialogues","created":"2026-07-28","cited_by_count":1,"area":null},{"id":"2608.06718","title":"Do Audio Language Models Use Paralinguistic Evidence? Counterfactual Audits for Response Evaluation","created":"2026-08-07","cited_by_count":1,"area":null},{"id":"2609.19596","title":"Full-Duplex Speech Models Take the Floor When Asked, Not When Needed","created":"2026-09-17","cited_by_count":1,"area":null},{"id":"2505.14356","title":"PersonaTAB: Predicting Personality Traits using Textual, Acoustic, and Behavioral Cues in Fully-Duplex Speech Dialogs","created":"2025-05-20","cited_by_count":0,"area":null},{"id":"2606.17542","title":"Evaluating Large Language Models Abilities for Addressee, Turn-change, and Next Speaker Prediction in Meetings","created":"2026-06-16","cited_by_count":0,"area":null},{"id":"2608.01033","title":"CallScreenBench: Benchmarking Small Language Models as Phone Secretaries","created":"2026-08-02","cited_by_count":0,"area":null},{"id":"2608.28630","title":"Enabling Proactive Spoken Turns via a Generalized Style-Aware Full-Duplex Framework","created":"2026-08-04","cited_by_count":0,"area":null},{"id":"2608.29241","title":"When Patients Cut In: Extending Clinical Conversational AI Safety to Interruptions","created":"2026-08-29","cited_by_count":0,"area":null},{"id":"2609.03321","title":"Decoupling Turn-Taking from Semantics: A Decoupled Data Approach for Finite-State-Machine-Based Full-Duplex Dialogue","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.10934","title":"Using Semantic Uncertainty to Estimate Transition Relevance in Turn-taking","created":"2026-09-10","cited_by_count":0,"area":null},{"id":"2609.13117","title":"Continue, Adapt, or Yield: In-Turn Adaptation to Overlapping Speech in Full-Duplex Agents","created":"2026-09-11","cited_by_count":0,"area":null},{"id":"2609.21465","title":"OmniVChat: Synthesizing, Benchmarking, and Training for Native Audio-Visual Dialogue","created":"2026-09-18","cited_by_count":0,"area":null},{"id":"2609.27372","title":"Neither Silence nor Overlap Is Failure: Intent-Conditioned Evaluation of Turn-Taking in Full-Duplex Spoken Dialogue Models","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2609.39446","title":"DuplexAct-Bench: Broadening Full-Duplex Speech Evaluation toward Proactive Interaction across Diverse Behavioral Requirements","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.12802","title":"People Making Conversation: Evaluating How Naturally Speech Models Converse","created":"2026-10-08","cited_by_count":0,"area":null},{"id":"2610.20172","title":"MultiPartyTurnBench: Benchmarking Floor Control in Multi-Party Spoken Dialogue","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}