most citedS2S-Arena: Evaluating Paralinguistic Instruction Following in Speech-to-Speech Models

1 citations · 1 across the 2 of their papers we have counts for

collaborators

7 papers

cs.CL20261 cited

S2S-Arena: Evaluating Paralinguistic Instruction Following in Speech-to-Speech Models

Feng Jiang, Zhiyu Lin, Yiyang Liu +6

Recent advances in large language models (LLMs) have fundamentally reshaped speech-to-speech (S2S) systems, enabling increasingly natural spoken interaction. However, existing benc…

cs.CL2026

MeasHalu: Mitigation of Scientific Measurement Hallucinations for Large Language Models with Enhanced Reasoning

Ruijun Huang, Zhiqiao Kang, Yuxuan Zhu +5

The accurate extraction of scientific measurements from literature is a critical yet challenging task in AI4Science, enabling large-scale analysis and integration of quantitative r…

eess.IV2025

SurgiSR4K: A High-Resolution Endoscopic Video Dataset for Robotic-Assisted Minimally Invasive Procedures

Fengyi Jiang, Xiaorui Zhang, Lingbo Jin +11

High-resolution imaging is crucial for enhancing visual clarity and enabling precise computer-assisted guidance in minimally invasive surgery (MIS). Despite the increasing adoption…

cs.IR2025

Beyond Retrieval: Ensembling Cross-Encoders and GPT Rerankers with LLMs for Biomedical QA

Shashank Verma, Fengyi Jiang, Xiangning Xue

Biomedical semantic question answering rooted in information retrieval can play a crucial role in keeping up to date with vast, rapidly evolving and ever-growing biomedical literat…

cs.CL2025

Beyond Binary: Towards Fine-Grained LLM-Generated Text Detection via Role Recognition and Involvement Measurement

Zihao Cheng, Li Zhou, Feng Jiang +2

The rapid development of large language models (LLMs), like ChatGPT, has resulted in the widespread presence of LLM-generated content on social media platforms, raising concerns ab…

cs.CL2024

HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs

Junying Chen, Xidong Wang, Ke Ji +11

Adapting a language model into a specific domain, a.k.a `domain adaption', is a common practice when specialized knowledge, e.g. medicine, is not encapsulated in a general language…