{"total":70,"rows":[{"id":"2501.15368","title":"Baichuan-Omni-1.5 Technical Report","created":"2025-01-26","cited_by_count":111,"area":null},{"id":"2507.16632","title":"Step-Audio 2 Technical Report","created":"2025-07-22","cited_by_count":105,"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":"2501.15111","title":"HumanOmni: A Large Vision-Speech Language Model for Human-Centric Video Understanding","created":"2025-01-25","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":"2504.12867","title":"EmoVoice: LLM-based Emotional Text-To-Speech Model with Freestyle Text Prompting","created":"2025-04-17","cited_by_count":34,"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":"2502.17810","title":"URO-Bench: Towards Comprehensive Evaluation for End-to-End Spoken Dialogue Models","created":"2025-02-25","cited_by_count":30,"area":null},{"id":"2510.13747","title":"InteractiveOmni: A Unified Omni-modal Model for Audio-Visual Multi-turn Dialogue","created":"2025-10-15","cited_by_count":29,"area":null},{"id":"2412.11694","title":"From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities","created":"2024-12-16","cited_by_count":22,"area":null},{"id":"2502.18778","title":"M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance","created":"2025-02-26","cited_by_count":19,"area":null},{"id":"2505.15727","title":"VocalBench: Benchmarking the Vocal Conversational Abilities for Speech Interaction Models","created":"2025-05-21","cited_by_count":17,"area":null},{"id":"2504.07053","title":"TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling","created":"2025-04-09","cited_by_count":16,"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":"2509.23938","title":"Easy Turn: Integrating Acoustic and Linguistic Modalities for Robust Turn-Taking in Full-Duplex Spoken Dialogue Systems","created":"2025-09-28","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":"2503.01879","title":"Nexus: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision","created":"2025-02-26","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":"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":"2506.17611","title":"OpusLM: A Family of Open Unified Speech Language Models","created":"2025-06-21","cited_by_count":9,"area":null},{"id":"2604.08000","title":"PASK: Toward Intent-Aware Proactive Agents with Long-Term Memory","created":"2026-04-09","cited_by_count":9,"area":null},{"id":"2510.15406","title":"VocalBench-DF: A Benchmark for Evaluating Speech LLM Robustness to Disfluency","created":"2025-10-17","cited_by_count":8,"area":null},{"id":"2507.10859","title":"MultiVox: A Benchmark for Evaluating Voice Assistants for Multimodal Interactions","created":"2025-07-14","cited_by_count":7,"area":null},{"id":"2509.25131","title":"MGM-Omni: Scaling Omni LLMs to Personalized Long-Horizon Speech","created":"2025-09-29","cited_by_count":7,"area":null},{"id":"2506.09349","title":"DrVoice: Parallel Speech-Text Voice Conversation Model via Dual-Resolution Speech Representations","created":"2025-06-11","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":"2605.19833","title":"Mega-ASR: Towards In-the-wild^2 Speech Recognition via Scaling up Real-world Acoustic Simulation","created":"2026-05-19","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":"2508.17863","title":"Speech Discrete Tokens or Continuous Features? A Comparative Analysis for Spoken Language Understanding in SpeechLLMs","created":"2025-08-25","cited_by_count":4,"area":null},{"id":"2606.05121","title":"Audio Interaction Model","created":"2026-06-03","cited_by_count":4,"area":null},{"id":"2412.01078","title":"Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data","created":"2024-12-02","cited_by_count":3,"area":null},{"id":"2503.00059","title":"Investigating and Enhancing Vision-Audio Capability in Omnimodal Large Language Models","created":"2025-02-27","cited_by_count":3,"area":null},{"id":"2505.18517","title":"LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMs","created":"2025-05-24","cited_by_count":3,"area":null},{"id":"2508.15418","title":"LLaSO: A Foundational Framework for Reproducible Research in Large Language and Speech Model","created":"2025-08-21","cited_by_count":3,"area":null},{"id":"2601.23161","title":"DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding","created":"2026-01-30","cited_by_count":3,"area":null},{"id":"2603.21664","title":"HumanOmni-Speaker: Identifying Who said What and When","created":"2026-03-23","cited_by_count":3,"area":null},{"id":"2605.12056","title":"OmniRefine: Alignment-Aware Cooperative Compression for Efficient Omnimodal Large Language Models","created":"2026-05-12","cited_by_count":3,"area":null},{"id":"2609.08977","title":"Multimodal Duplex Interaction Agent","created":"2026-09-08","cited_by_count":3,"area":null},{"id":"2510.22588","title":"UltraVoice: Scaling Fine-Grained Style-Controlled Speech Conversations for Spoken Dialogue Models","created":"2025-10-26","cited_by_count":2,"area":null},{"id":"2602.07106","title":"Ex-Omni: Enabling 3D Facial Animation Generation for Omni-modal Large Language Models","created":"2026-02-06","cited_by_count":2,"area":null},{"id":"2605.04045","title":"Audio-Visual Intelligence in Large Foundation Models","created":"2026-05-05","cited_by_count":2,"area":null},{"id":"2607.27756","title":"Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO","created":"2026-07-30","cited_by_count":2,"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":"2503.23848","title":"SpeechDialogueFactory: Generating High-Quality Speech Dialogue Data to Accelerate Your Speech-LLM Development","created":"2025-03-31","cited_by_count":1,"area":null},{"id":"2603.07599","title":"StyleBench: Evaluating Speech Language Models on Conversational Speaking Style Control","created":"2026-03-08","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":"2604.21766","title":"AUDITA: A New Dataset to Audit Humans vs. AI Skill at Audio QA","created":"2026-04-23","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":"2608.17605","title":"Multi-turn Conversational AI from Text to Multimodal Interaction: Data, Models, Evaluation, and Open Challenges","created":"2026-08-18","cited_by_count":1,"area":null},{"id":"2609.15759","title":"Enabling Streaming User Transcription in Full-Duplex Speech-to-Speech Models","created":"2026-09-14","cited_by_count":1,"area":null},{"id":"2504.01049","title":"SViQA: A Unified Speech-Vision Multimodal Model for Textless Visual Question Answering","created":"2025-04-01","cited_by_count":0,"area":null},{"id":"2508.09818","title":"ViMoNet: A Multimodal Vision-Language Framework for Human Behavior Understanding from Motion and Video","created":"2025-08-13","cited_by_count":0,"area":null},{"id":"2509.23755","title":"Understanding Textual Capability Degradation in Speech LLMs via Parameter Importance Analysis","created":"2025-09-28","cited_by_count":0,"area":null},{"id":"2602.16140","title":"Human-AI Collaboration in Large Language Model-Integrated Building Energy Management Systems: The Role of User Domain Knowledge and AI Literacy","created":"2026-02-18","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":"2605.31294","title":"TokTalk: Expressive Real-time Facial Animation from Audio-LLM Tokens","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2606.06559","title":"IRAF: Interference-Resilient Adaptive Fusion for Noise-Robust End-to-End Full-Duplex Spoken Dialogue Systems","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2607.03213","title":"OpenGlass: A Sensing-Computing Split Architecture for Local MLLM-Driven Real-Time Visual Assistance","created":"2026-07-03","cited_by_count":0,"area":null},{"id":"2607.24430","title":"Let Me Look at You: Advanced Facial Expression Modeling for Conversational Speech Synthesis","created":"2026-07-27","cited_by_count":0,"area":null},{"id":"2608.10720","title":"Ex-Omni-2D: Expressive Omni-Modal Dialogue Models with Native Visual Presence","created":"2026-08-11","cited_by_count":0,"area":null},{"id":"2608.24160","title":"OmniJudge or OmniBias? Diagnosing Multimodal Judges through Balanced, Decoupled Lenses","created":"2026-08-25","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":"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":"2609.04250","title":"Motion-Omni: End-to-End Joint Speech and Full-Body Motion for Spoken Dialogue","created":"2026-08-28","cited_by_count":0,"area":null},{"id":"2609.28877","title":"Learning New Words from Unlabeled Test Data in Automatic Speech Recognition","created":"2026-09-24","cited_by_count":0,"area":null},{"id":"2610.08125","title":"Conversation Is a Two-Body Problem: Dyadic Evaluation of Full-Duplex Dialogue Models","created":"2026-10-06","cited_by_count":0,"area":null},{"id":"2610.12248","title":"EgoVoice: Proactive Spoken Assistance from Egocentric Multimodal Streams","created":"2026-10-08","cited_by_count":0,"area":null},{"id":"2610.16135","title":"Omni-Modal LLMs Know More Than They Say","created":"2026-10-12","cited_by_count":0,"area":null},{"id":"2610.17738","title":"DuplexAct: How Interactive Are Frontier Full-Duplex Spoken Language Models?","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}