{"total":23,"rows":[{"id":"2306.13549","title":"A Survey on Multimodal Large Language Models","created":"2023-06-23","cited_by_count":909,"area":"mllm"},{"id":"2401.13601","title":"MM-LLMs: Recent Advances in MultiModal Large Language Models","created":"2024-01-24","cited_by_count":278,"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":"2308.15930","title":"LLaSM: Large Language and Speech Model","created":"2023-08-30","cited_by_count":58,"area":"mllm"},{"id":"2408.01319","title":"A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks","created":"2024-08-02","cited_by_count":57,"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":"2310.05863","title":"Fine-grained Audio-Visual Joint Representations for Multimodal Large Language Models","created":"2023-10-09","cited_by_count":21,"area":"mllm"},{"id":"2412.09501","title":"Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition","created":"2024-12-12","cited_by_count":20,"area":"mllm"},{"id":"2406.12428","title":"PSLM: Parallel Generation of Text and Speech with LLMs for Low-Latency Spoken Dialogue Systems","created":"2024-06-18","cited_by_count":14,"area":"mllm"},{"id":"2507.19634","title":"MCIF: Multimodal Crosslingual Instruction-Following Benchmark from Scientific Talks","created":"2025-07-25","cited_by_count":14,"area":"mllm"},{"id":"2406.12946","title":"Instruction Data Generation and Unsupervised Adaptation for Speech Language Models","created":"2024-06-18","cited_by_count":9,"area":"mllm"},{"id":"2409.14993","title":"Multi-modal Generative AI: Multi-modal LLMs, Diffusions, and the Unification","created":"2024-09-23","cited_by_count":8,"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":"2311.04589","title":"TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models","created":"2023-11-08","cited_by_count":7,"area":"mllm"},{"id":"2505.17110","title":"Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling","created":"2025-05-21","cited_by_count":5,"area":"mllm"},{"id":"2406.09618","title":"Multi-Modal Retrieval For Large Language Model Based Speech Recognition","created":"2024-06-13","cited_by_count":4,"area":"mllm"},{"id":"2409.16654","title":"Speech Recognition Rescoring with Large Speech-Text Foundation Models","created":"2024-09-25","cited_by_count":2,"area":"mllm"},{"id":"2601.01798","title":"VerLM: Explaining Face Verification Using Natural Language","created":"2026-01-05","cited_by_count":2,"area":"mllm"},{"id":"2507.19037","title":"MLLM-based Speech Recognition: When and How is Multimodality Beneficial?","created":"2025-07-25","cited_by_count":1,"area":"mllm"},{"id":"2603.08174","title":"MERLIN: Building Low-SNR Robust Multimodal LLMs for Electromagnetic Signals","created":"2026-03-09","cited_by_count":1,"area":"mllm"},{"id":"2605.22170","title":"Do Factual Recall Mechanisms Carry over from Text to Speech in Multimodal Language Models?","created":"2026-05-21","cited_by_count":1,"area":"mllm"},{"id":"2605.17152","title":"Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages","created":"2026-05-16","cited_by_count":0,"area":"mllm"}],"next_cursor":null}