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20212026
most citedGraph Inference Representation: Learning Graph Positional Embeddings with Anchor Path Encoding

3 citations · 4 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025

TCM-Eval: An Expert-Level Dynamic and Extensible Benchmark for Traditional Chinese Medicine

Zihao Cheng, Yuheng Lu, Huaiqian Ye +10

Large Language Models (LLMs) have demonstrated remarkable capabilities in modern medicine, yet their application in Traditional Chinese Medicine (TCM) remains severely limited by t…

cs.SD2025

Perturbation Self-Supervised Representations for Cross-Lingual Emotion TTS: Stage-Wise Modeling of Emotion and Speaker

Cheng Gong, Chunyu Qiang, Tianrui Wang +7

Cross-lingual emotional text-to-speech (TTS) aims to produce speech in one language that captures the emotion of a speaker from another language while maintaining the target voice'…

cs.HC2025

TransBench: Breaking Barriers for Transferable Graphical User Interface Agents in Dynamic Digital Environments

Yuheng Lu, Qian Yu, Hongru Wang +7

Graphical User Interface (GUI) agents, which autonomously operate on digital interfaces through natural language instructions, hold transformative potential for accessibility, auto…

cs.CL2025

Enhancing Complex Instruction Following for Large Language Models with Mixture-of-Contexts Fine-tuning

Yuheng Lu, ZiMeng Bai, Caixia Yuan +2

Large language models (LLMs) exhibit remarkable capabilities in handling natural language tasks; however, they may struggle to consistently follow complex instructions including th…

eess.AS2025

Efficient Emotion and Speaker Adaptation in LLM-Based TTS via Characteristic-Specific Partial Fine-Tuning

Tianrui Wang, Meng Ge, Cheng Gong +11

While LLM-based TTS models exhibit zero-shot emotion and speaker cloning, their cloning fidelity and pronunciation clarity degrade on unseen domains. Fine-tuning is essential for a…