4 citations · 4 across the 22 of their papers we have counts for
14 papers · 1 filter
Chain-of-thought Reviewing and Correction for Time Series Question Answering
Chen Su, Yuanhe Tian, Yan Song
With the advancement of large language models (LLMs), diverse time series analysis tasks are reformulated as time series question answering (TSQA) through a unified natural languag…
MoE Pathfinder: Trajectory-driven Expert Pruning
Xican Yang, Yuanhe Tian, Yan Song
Mixture-of-experts (MoE) architectures used in large language models (LLMs) achieve state-of-the-art performance across diverse tasks yet face practical challenges such as deployme…
Frustratingly Easy Task-aware Pruning for Large Language Models
Yuanhe Tian, Junjie Liu, Xican Yang +2
Pruning provides a practical solution to reduce the resources required to run large language models (LLMs) to benefit from their effective capabilities as well as control their cos…
Text Reinforcement for Multimodal Time Series Forecasting
Chen Su, Yuanhe Tian, Yan Song +1
Recent studies in time series forecasting (TSF) use multimodal inputs, such as text and historical time series data, to predict future values. These studies mainly focus on develop…
Diffusion Models for Time Series Forecasting: A Survey
Chen Su, Zhengzhou Cai, Yuanhe Tian +3
Diffusion models, initially developed for image synthesis, demonstrate remarkable generative capabilities. Recently, their application has expanded to time series forecasting (TSF)…
ChiMed 2.0: Advancing Chinese Medical Dataset in Facilitating Large Language Modeling
Yuanhe Tian, Junjie Liu, Zhizhou Kou +2
Building high-quality data resources is crucial for advancing artificial intelligence research and applications in specific domains, particularly in the Chinese medical domain. Exi…
Evaluation of Coding Schemes for Transformer-based Gene Sequence Modeling
Chenlei Gong, Yuanhe Tian, Lei Mao +1
Currently, many studies view DNA sequences as a special type of language and utilize Transformers to model them. These studies use fixed-length k-mer segmentation and BPE subword t…
Fusing Large Language Models with Temporal Transformers for Time Series Forecasting
Chen Su, Yuanhe Tian, Qinyu Liu +2
Recently, large language models (LLMs) have demonstrated powerful capabilities in performing various tasks and thus are applied by recent studies to time series forecasting (TSF) t…
Balanced Training Data Augmentation for Aspect-Based Sentiment Analysis
Junjie Liu, Yuanhe Tian, Yan Song
Aspect-based sentiment analysis (ABSA) is a crucial fine-grained task in social media scenarios to identify the sentiment polarity of specific aspect terms in a sentence. Although…
Computed Tomography Visual Question Answering with Cross-modal Feature Graphing
Yuanhe Tian, Chen Su, Junwen Duan +1
Visual question answering (VQA) in medical imaging aims to support clinical diagnosis by automatically interpreting complex imaging data in response to natural language queries. Ex…
Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation
Yuanhe Tian, Lei Mao, Yan Song
Generating reports for computed tomography (CT) images is a challenging task, while similar to existing studies for medical image report generation, yet has its unique characterist…
Detoxification of Large Language Models through Output-layer Fusion with a Calibration Model
Yuanhe Tian, Mingjie Deng, Guoqing Jin +1
Existing approaches for Large language model (LLM) detoxification generally rely on training on large-scale non-toxic or human-annotated preference data, designing prompts to instr…
DNAZEN: Enhanced Gene Sequence Representations via Mixed Granularities of Coding Units
Lei Mao, Yuanhe Tian, Yan Song
Genome modeling conventionally treats gene sequence as a language, reflecting its structured motifs and long-range dependencies analogous to linguistic units and organization princ…
Multimodal Conditioned Diffusive Time Series Forecasting
Chen Su, Yuanhe Tian, Yan Song
Diffusion models achieve remarkable success in processing images and text, and have been extended to special domains such as time series forecasting (TSF). Existing diffusion-based…