{"total":13,"rows":[{"id":"2507.16632","title":"Step-Audio 2 Technical Report","created":"2025-07-22","cited_by_count":105,"area":null},{"id":"2604.10905","title":"Audio Flamingo Next: Next-Generation Open Audio-Language Models for Speech, Sound, and Music","created":"2026-04-13","cited_by_count":19,"area":null},{"id":"2509.15389","title":"Exploring Fine-Tuning of Large Audio Language Models for Spoken Language Understanding under Limited Speech Data","created":"2025-09-18","cited_by_count":6,"area":null},{"id":"2509.18816","title":"Pay More Attention To Audio: Mitigating Imbalance of Cross-Modal Attention in Large Audio Language Models","created":"2025-09-23","cited_by_count":5,"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":"2608.02831","title":"Reinforcement Learning with Evolving Rubrics as Rewards for Audio Reasoning","created":"2026-08-03","cited_by_count":3,"area":null},{"id":"2603.18678","title":"Words at Play: Benchmarking Audio Pun Understanding in Large Audio-Language Models","created":"2026-03-19","cited_by_count":1,"area":null},{"id":"2609.07286","title":"TAD: Token-Adaptive Contrastive Decoding with Confidence-Guided Gating for Hallucination Mitigation in Large Audio-Language Models","created":"2026-09-07","cited_by_count":1,"area":null},{"id":"2508.12591","title":"Beyond Modality Limitations: A Unified MLLM Approach to Automated Speaking Assessment with Effective Curriculum Learning","created":"2025-08-18","cited_by_count":0,"area":null},{"id":"2607.17230","title":"Robust Summarization of Doctor-Patient Conversations: TalTech Systems for the Beyond Transcription Challenge","created":"2026-07-19","cited_by_count":0,"area":null},{"id":"2609.03620","title":"ToolDF: Tool-Integrated Reasoning for Mixed-Authenticity Audio Deepfake Detection","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.28344","title":"Mizar: A 159M-Parameter Audio-Language Model for Audio Understanding","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2609.36798","title":"Seeing What Should Be Heard: Diagnosing and Repairing Cross-Modal Shortcuts in Omni-Modal LLMs","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}