A Self-Refining Framework for Enhancing ASR Using TTS-Synthesized Data Paper • 2506.11130 • Published 30 days ago • 6
Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey Paper • 2505.15957 • Published May 21 • 3
Investigating Zero-Shot Generalizability on Mandarin-English Code-Switched ASR and Speech-to-text Translation of Recent Foundation Models with Self-Supervision and Weak Supervision Paper • 2401.00273 • Published Dec 30, 2023
Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks Paper • 2411.05361 • Published Nov 8, 2024 • 1
Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging Paper • 2412.19512 • Published Dec 27, 2024 • 8
DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging Paper • 2407.01470 • Published Jul 1, 2024 • 6
DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging Paper • 2407.01470 • Published Jul 1, 2024 • 6