most citedSeed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition

6 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS20246 cited

Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition

Ye Bai, Jingping Chen, Jitong Chen +52

Modern automatic speech recognition (ASR) model is required to accurately transcribe diverse speech signals (from different domains, languages, accents, etc) given the specific con…

cs.CV2024

Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning

Meixuan Li, Tianyu Li, Guoqing Wang +3

In this study, we address the intricate challenge of multi-task dense prediction, encompassing tasks such as semantic segmentation, depth estimation, and surface normal estimation,…

cs.CL20243 cited

Hallucination Detection and Hallucination Mitigation: An Investigation

Junliang Luo, Tianyu Li, Di Wu +3

Large language models (LLMs), including ChatGPT, Bard, and Llama, have achieved remarkable successes over the last two years in a range of different applications. In spite of these…

cs.RO2023

Task Generalization with Stability Guarantees via Elastic Dynamical System Motion Policies

Tianyu Li, Nadia Figueroa

Dynamical System (DS) based Learning from Demonstration (LfD) allows learning of reactive motion policies with stability and convergence guarantees from a few trajectories. Yet, cu…

cs.IR2023

UniMatch: A Unified User-Item Matching Framework for the Multi-purpose Merchant Marketing

Qifang Zhao, Tianyu Li, Meng Du +5

When doing private domain marketing with cloud services, the merchants usually have to purchase different machine learning models for the multiple marketing purposes, leading to a…