most citedOpenNovelty: An LLM-powered Agentic System for Verifiable Scholarly Novelty Assessment

4 citations · 4 across the 4 of their papers we have counts for

collaborators

10 papers

cs.RO2026

FRoM-W1: Towards General Humanoid Whole-Body Control with Language Instructions

Peng Li, Zihan Zhuang, Yangfan Gao +16

Humanoid robots are capable of performing various actions such as greeting, dancing and even backflipping. However, these motions are often hard-coded or specifically trained, whic…

cs.IR20264 cited

OpenNovelty: An LLM-powered Agentic System for Verifiable Scholarly Novelty Assessment

Ming Zhang, Kexin Tan, Yueyuan Huang +20

Evaluating novelty is critical yet challenging in peer review, as reviewers must assess submissions against a vast, rapidly evolving literature. This report presents OpenNovelty, a…

cs.SD2026

Muse: Towards Reproducible Long-Form Song Generation with Fine-Grained Style Control

Changhao Jiang, Jiahao Chen, Zhenghao Xiang +14

Recent commercial systems such as Suno demonstrate strong capabilities in long-form song generation, while academic research remains largely non-reproducible due to the lack of pub…

cs.SD2025

From Scores to Preferences: Redefining MOS Benchmarking for Speech Quality Reward Modeling

Yifei Cao, Changhao Jiang, Jiabao Zhuang +11

Assessing the perceptual quality of synthetic speech is crucial for guiding the development and refinement of speech generation models. However, it has traditionally relied on huma…

cs.SD2025

CMDAR: A Chinese Multi-scene Dynamic Audio Reasoning Benchmark with Diverse Challenges

Hui Li, Changhao Jiang, Hongyu Wang +11

The ability to reason from audio, including speech, environmental sounds, and music, is essential for AI agents to interact effectively in real-world scenarios. Existing benchmarks…

cs.CL2025

What Makes a Good Speech Tokenizer for LLM-Centric Speech Generation? A Systematic Study

Xiaoran Fan, Zhichao Sun, Yangfan Gao +19

Speech-language models (SLMs) offer a promising path toward unifying speech and text understanding and generation. However, challenges remain in achieving effective cross-modal ali…