{"total":34,"rows":[{"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":"2510.06590","title":"Ming-UniVision: Joint Image Understanding and Generation with a Unified Continuous Tokenizer","created":"2025-10-08","cited_by_count":28,"area":null},{"id":"2603.19217","title":"LVOmniBench: Pioneering Long Audio-Video Understanding Evaluation for Omnimodal LLMs","created":"2026-03-19","cited_by_count":24,"area":null},{"id":"2511.05516","title":"Ming-UniAudio: Speech LLM for Joint Understanding, Generation and Editing with Unified Representation","created":"2025-10-26","cited_by_count":17,"area":null},{"id":"2604.10708","title":"Audio-Omni: Extending Multi-modal Understanding to Versatile Audio Generation and Editing","created":"2026-04-12","cited_by_count":12,"area":null},{"id":"2602.08711","title":"TimeChat-Captioner: Scripting Multi-Scene Videos with Time-Aware and Structural Audio-Visual Captions","created":"2026-02-09","cited_by_count":11,"area":null},{"id":"2603.05075","title":"UniM: A Unified Any-to-Any Interleaved Multimodal Benchmark","created":"2026-03-05","cited_by_count":11,"area":null},{"id":"2604.02097","title":"LatentUM: Unleashing the Potential of Interleaved Cross-Modal Reasoning via a Latent-Space Unified Model","created":"2026-04-02","cited_by_count":8,"area":null},{"id":"2604.21921","title":"Context Unrolling in Omni Models","created":"2026-04-23","cited_by_count":8,"area":null},{"id":"2510.20803","title":"ARGenSeg: Image Segmentation with Autoregressive Image Generation Model","created":"2025-10-23","cited_by_count":5,"area":null},{"id":"2512.19271","title":"3SGen: Unified Subject, Style, and Structure-Driven Image Generation with Adaptive Task-specific Memory","created":"2025-12-22","cited_by_count":5,"area":null},{"id":"2602.07064","title":"OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization","created":"2026-02-05","cited_by_count":5,"area":null},{"id":"2601.01792","title":"HyperCLOVA X 8B Omni","created":"2026-01-05","cited_by_count":4,"area":null},{"id":"2604.16902","title":"Beyond Text-Dominance: Understanding Modality Preference of Omni-modal Large Language Models","created":"2026-04-18","cited_by_count":4,"area":null},{"id":"2605.26485","title":"OmniInteract: Benchmarking Real-World Streaming Interaction for Real-Time Omnimodal Assistants","created":"2026-05-26","cited_by_count":4,"area":null},{"id":"2605.28035","title":"MTAVG-Bench 2.0: Diagnosing Failure Modes of Cinematic Expressiveness in Multi-Talker Audio-Video Generation","created":"2026-05-27","cited_by_count":4,"area":null},{"id":"2510.20212","title":"Target-aware Image Editing via Cycle-consistent Constraints","created":"2025-10-23","cited_by_count":3,"area":null},{"id":"2605.01638","title":"Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection","created":"2026-05-02","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":"2512.02457","title":"Does Hearing Help Seeing? Investigating Audio-Video Joint Denoising for Video Generation","created":"2025-12-02","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":"2605.16403","title":"When Vision Speaks for Sound","created":"2026-05-13","cited_by_count":2,"area":null},{"id":"2607.12820","title":"AVSCap: Orchestrating Audio-Visual Synergy for Omni-modal Video Captioning","created":"2026-07-14","cited_by_count":2,"area":null},{"id":"2604.14520","title":"Chain of Modality: From Static Fusion to Dynamic Orchestration in Omni-MLLMs","created":"2026-04-16","cited_by_count":1,"area":null},{"id":"2606.01016","title":"PolySpeech-100: A Large-Scale Benchmark for Speech Understanding Across 100+ Languages and Dialects","created":"2026-05-31","cited_by_count":1,"area":null},{"id":"2603.10702","title":"UniCom: Unified Multimodal Modeling via Compressed Continuous Semantic Representations","created":"2026-03-11","cited_by_count":0,"area":null},{"id":"2603.16292","title":"Attention-guided Evidence Grounding for Spoken Question Answering","created":"2026-03-17","cited_by_count":0,"area":null},{"id":"2605.31603","title":"Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for Video Unified Models","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2606.26968","title":"RedVox: Safety and Fairness Gaps in Speech Models Across Languages","created":"2026-06-25","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":"2608.23758","title":"EXAM2: Extending Audio Understanding in Multilingual and Multimodal Analysis","created":"2026-08-24","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":"2610.16135","title":"Omni-Modal LLMs Know More Than They Say","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}