{"total":35,"rows":[{"id":"2305.11000","title":"SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities","created":"2023-05-18","cited_by_count":529,"area":"mllm"},{"id":"2402.12226","title":"AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling","created":"2024-02-19","cited_by_count":217,"area":"mllm"},{"id":"2501.01957","title":"VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction","created":"2025-01-03","cited_by_count":197,"area":"mllm"},{"id":"2411.00774","title":"Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM","created":"2024-11-01","cited_by_count":141,"area":"mllm"},{"id":"2402.05755","title":"Spirit LM: Interleaved Spoken and Written Language Model","created":"2024-02-08","cited_by_count":126,"area":"mllm"},{"id":"2406.14294","title":"DASB - Discrete Audio and Speech Benchmark","created":"2024-06-20","cited_by_count":32,"area":"mllm"},{"id":"2311.02248","title":"COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning","created":"2023-11-03","cited_by_count":31,"area":"mllm"},{"id":"2407.01851","title":"Meerkat: Audio-Visual Large Language Model for Grounding in Space and Time","created":"2024-07-01","cited_by_count":26,"area":"mllm"},{"id":"2409.19510","title":"Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning","created":"2024-09-29","cited_by_count":20,"area":"mllm"},{"id":"2406.09250","title":"MirrorCheck: Efficient Adversarial Defense for Vision-Language Models","created":"2024-06-13","cited_by_count":19,"area":"mllm"},{"id":"2303.06591","title":"Accommodating Audio Modality in CLIP for Multimodal Processing","created":"2023-03-12","cited_by_count":18,"area":"mllm"},{"id":"2412.17574","title":"HumanVBench: Probing Human-Centric Video Understanding in MLLMs with Automatically Synthesized Benchmarks","created":"2024-12-23","cited_by_count":11,"area":"mllm"},{"id":"2507.22920","title":"Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey","created":"2025-07-21","cited_by_count":8,"area":"mllm"},{"id":"2601.09385","title":"SLAM-LLM: A Modular, Open-Source Multimodal Large Language Model Framework and Best Practice for Speech, Language, Audio and Music Processing","created":"2026-01-14","cited_by_count":8,"area":"mllm"},{"id":"2303.00091","title":"Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model","created":"2023-02-27","cited_by_count":6,"area":"mllm"},{"id":"2412.11683","title":"Multimodal LLM for Intelligent Transportation Systems","created":"2024-12-16","cited_by_count":6,"area":"mllm"},{"id":"2512.19537","title":"Event Extraction in Large Language Model","created":"2025-12-22","cited_by_count":5,"area":"mllm"},{"id":"2309.08531","title":"Towards Practical and Efficient Image-to-Speech Captioning with Vision-Language Pre-training and Multi-modal Tokens","created":"2023-09-15","cited_by_count":4,"area":"mllm"},{"id":"2603.27918","title":"Adversarial Attacks on Multimodal Large Language Models: A Comprehensive Survey","created":"2026-03-30","cited_by_count":4,"area":"mllm"},{"id":"2512.01512","title":"MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages","created":"2025-12-01","cited_by_count":3,"area":"mllm"},{"id":"2509.15476","title":"Evaluating Multimodal Large Language Models on Spoken Sarcasm Understanding","created":"2025-09-18","cited_by_count":2,"area":"mllm"},{"id":"2601.22738","title":"StreamSense: Streaming Social Task Detection with Selective Vision-Language Model Routing","created":"2026-01-30","cited_by_count":2,"area":"mllm"},{"id":"2311.07014","title":"Teach me with a Whisper: Enhancing Large Language Models for Analyzing Spoken Transcripts using Speech Embeddings","created":"2023-11-13","cited_by_count":1,"area":"mllm"},{"id":"2507.02957","title":"CS-VLM: Compressed Sensing Attention for Efficient Vision-Language Representation Learning","created":"2025-06-30","cited_by_count":1,"area":"mllm"},{"id":"2601.00777","title":"Investigating the Viability of Employing Multi-modal Large Language Models in the Context of Audio Deepfake Detection","created":"2026-01-02","cited_by_count":1,"area":"mllm"},{"id":"2605.09996","title":"Omni-Persona: Systematic Benchmarking and Improving Omnimodal Personalization","created":"2026-05-11","cited_by_count":1,"area":"mllm"},{"id":"2505.04637","title":"Adaptive Token Boundaries: Integrating Human Chunking Mechanisms into Multimodal LLMs","created":"2025-05-03","cited_by_count":0,"area":"mllm"},{"id":"2509.02349","title":"AudioCodecBench: A Comprehensive Benchmark for Audio Codec Evaluation","created":"2025-09-02","cited_by_count":0,"area":"mllm"},{"id":"2602.12302","title":"Grandes Modelos de Linguagem Multimodais (MLLMs): Da Teoria \\`a Pr\\'atica","created":"2026-02-11","cited_by_count":0,"area":"mllm"},{"id":"2603.10877","title":"From Images to Words: Efficient Cross-Modal Knowledge Distillation to Language Models from Black-box Teachers","created":"2026-03-11","cited_by_count":0,"area":"mllm"},{"id":"2606.07531","title":"mllm-shap: A Shapley Value Explainability Platform for Text-Audio Multimodal Large Language Models","created":"2026-04-21","cited_by_count":0,"area":"mllm"},{"id":"2606.19706","title":"NEST: Narrative Event Structures in Time for Long Video Understanding","created":"2026-06-18","cited_by_count":0,"area":"mllm"},{"id":"2606.31310","title":"LOPA: Enhancing Spoken Language Assessment via Latent Ordinal Prototype Alignment","created":"2026-06-30","cited_by_count":0,"area":"mllm"},{"id":"2607.21496","title":"Toward Generalizable Cognitive Impairment Detection with Speech-Based Multimodal Large Language Models","created":"2026-07-23","cited_by_count":0,"area":"mllm"},{"id":"2608.18132","title":"Alignment Is All You Need: Instruction-Free Training for General Audio-Language Models","created":"2026-07-28","cited_by_count":0,"area":"mllm"}],"next_cursor":null}