{"total":56,"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":"2411.13577","title":"WavChat: A Survey of Spoken Dialogue Models","created":"2024-11-15","cited_by_count":90,"area":null},{"id":"2410.03751","title":"Recent Advances in Speech Language Models: A Survey","created":"2024-10-01","cited_by_count":87,"area":null},{"id":"2602.06053","title":"PersonaPlex: Voice and Role Control for Full Duplex Conversational Speech Models","created":"2026-01-14","cited_by_count":63,"area":null},{"id":"2410.17799","title":"OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation","created":"2024-10-23","cited_by_count":60,"area":null},{"id":"2502.06490","title":"Recent Advances in Discrete Speech Tokens: A Review","created":"2025-02-10","cited_by_count":43,"area":null},{"id":"2505.15670","title":"SALM-Duplex: Efficient and Direct Duplex Modeling for Speech-to-Speech Language Model","created":"2025-05-21","cited_by_count":34,"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":"2502.13472","title":"FlexDuo: A Pluggable System for Enabling Full-Duplex Capabilities in Speech Dialogue Systems","created":"2025-02-19","cited_by_count":15,"area":null},{"id":"2510.12116","title":"Understanding the Modality Gap: An Empirical Study on the Speech-Text Alignment Mechanism of Large Speech Language Models","created":"2025-10-14","cited_by_count":13,"area":null},{"id":"2604.12928","title":"MoshiRAG: Asynchronous Knowledge Retrieval for Full-Duplex Speech Language Models","created":"2026-04-14","cited_by_count":12,"area":null},{"id":"2503.02769","title":"InSerter: Speech Instruction Following with Unsupervised Interleaved Pre-training","created":"2025-03-04","cited_by_count":11,"area":null},{"id":"2505.12654","title":"Predicting Turn-Taking and Backchannel in Human-Machine Conversations Using Linguistic, Acoustic, and Visual Signals","created":"2025-05-19","cited_by_count":10,"area":null},{"id":"2509.14515","title":"From Turn-Taking to Synchronous Dialogue: A Survey of Full-Duplex Spoken Language Models","created":"2025-09-18","cited_by_count":10,"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":"2505.04066","title":"LLAMAPIE: Proactive In-Ear Conversation Assistants","created":"2025-05-07","cited_by_count":8,"area":null},{"id":"2508.20916","title":"SageLM: A Multi-aspect and Explainable Large Language Model for Speech Judgement","created":"2025-08-28","cited_by_count":7,"area":null},{"id":"2601.02391","title":"WearVox: An Egocentric Multichannel Voice Assistant Benchmark for Wearables","created":"2025-12-25","cited_by_count":7,"area":null},{"id":"2603.09180","title":"DuplexCascade: Full-Duplex Speech-to-Speech Dialogue with VAD-Free Cascaded ASR-LLM-TTS Pipeline and Micro-Turn Optimization","created":"2026-03-10","cited_by_count":7,"area":null},{"id":"2503.23439","title":"Speculative End-Turn Detector for Efficient Speech Chatbot Assistant","created":"2025-03-30","cited_by_count":6,"area":null},{"id":"2603.17837","title":"The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning","created":"2026-03-18","cited_by_count":6,"area":null},{"id":"2606.14528","title":"BayLing-Duplex: Native Full-Duplex Speech Dialogue with a Single Autoregressive LLM","created":"2026-06-12","cited_by_count":6,"area":null},{"id":"2506.02979","title":"Towards a Japanese Full-duplex Spoken Dialogue System","created":"2025-06-03","cited_by_count":5,"area":null},{"id":"2511.11124","title":"AV-Dialog: Spoken Dialogue Models with Audio-Visual Input","created":"2025-11-14","cited_by_count":5,"area":null},{"id":"2607.06540","title":"Hierarchical Acoustic-Semantic Modeling: Modality Separation and Semantic Coherence for Full-Duplex SLMs","created":"2026-07-07","cited_by_count":5,"area":null},{"id":"2609.21967","title":"NemotronLabs VoiceChat: An Open Full-duplex Speech-to-Speech Model with Tool Calling Capabilities","created":"2026-09-18","cited_by_count":4,"area":null},{"id":"2601.11329","title":"F-Actor: Controllable Conversational Behaviour in Full-Duplex Models","created":"2026-01-16","cited_by_count":3,"area":null},{"id":"2608.26005","title":"VoiceMem: Streaming Dual-Brain Memory for Real-Time Interaction","created":"2026-08-26","cited_by_count":2,"area":null},{"id":"2508.07375","title":"TurnGuide: Enhancing Meaningful Full Duplex Spoken Interactions via Dynamic Turn-Level Text-Speech Interleaving","created":"2025-08-10","cited_by_count":1,"area":null},{"id":"2512.20296","title":"TAVID: Text-Driven Audio-Visual Interactive Dialogue Generation","created":"2025-12-23","cited_by_count":1,"area":null},{"id":"2603.08179","title":"Privacy-Preserving End-to-End Full-Duplex Speech Dialogue Models","created":"2026-03-09","cited_by_count":1,"area":null},{"id":"2603.13262","title":"Evaluation of Audio Language Models for Fairness, Safety, and Security","created":"2026-02-25","cited_by_count":1,"area":null},{"id":"2603.15083","title":"ReactMotion: Generating Reactive Listener Motions from Speaker Utterance","created":"2026-03-16","cited_by_count":1,"area":null},{"id":"2603.22267","title":"TiCo: Time-Controllable Spoken Dialogue Model","created":"2026-03-23","cited_by_count":1,"area":null},{"id":"2605.30256","title":"VideoFDB: Evaluating Full-Duplex Vision-Speech Capabilities in Conversational Agents","created":"2026-05-28","cited_by_count":1,"area":null},{"id":"2606.16472","title":"From Awareness to Adherence: Bridging the Context Gap in Spoken Dialogue Systems via Context-Aware Decoding","created":"2026-06-15","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":"2609.08390","title":"Noise Adaptive Streaming Audio-Visual Speech Token Enhancement for Robust Full-Duplex Spoken Dialogue Models","created":"2026-09-08","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":"2609.36903","title":"MultiTalk: Scaling Full-Duplex Speech Models to Long, Multi-Party, Bilingual Conversation","created":"2026-09-29","cited_by_count":1,"area":null},{"id":"2604.19642","title":"Micro Language Models Enable Instant Responses","created":"2026-04-21","cited_by_count":0,"area":null},{"id":"2604.23295","title":"Human-1 by Josh Talks: A Full-Duplex Conversational Modeling Framework in Hindi using Real-World Conversations","created":"2026-04-25","cited_by_count":0,"area":null},{"id":"2605.10199","title":"How Should LLMs Listen While Speaking? A Study of User-Stream Routing in Full-Duplex Spoken Dialogue","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2607.26928","title":"Latent-IM: Latent Interaction Management for Speech LLMs","created":"2026-07-29","cited_by_count":0,"area":null},{"id":"2608.07631","title":"PACE: A Playback-Aligned Context Engine for LLM-Based Full-Duplex Voice Dialogue","created":"2026-08-07","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":"2609.12623","title":"SteerDuplex: Steerable Duplex Speech Dialogue Models","created":"2026-09-11","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":"2609.13445","title":"Causal Analysis and Mitigation of Spurious Onsets in Full-Duplex Speech LLMs","created":"2026-09-11","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":"2609.28806","title":"A Harness for Synthesizing Diverse Naturalistic Full-Duplex Conversations","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2609.31224","title":"Acoustic-to-Text KV Compression for Full-Duplex Speech Models","created":"2026-09-25","cited_by_count":0,"area":null},{"id":"2610.02638","title":"Batched Speech Decisions Without Decoding: Single-Token Supervision Lets a Frozen LLM Hear Beyond the Transcript","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.04706","title":"VoCa: Designing Speech-Canvas Interaction for Voice-Based Conversational Agents","created":"2026-10-03","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}],"next_cursor":null}