collaborators

17 papers

cs.CL2026

DeltaFlow: Noise-Adaptive Bidirectional Gated Delta Networks for Embedded Language Flows

Guangfu Guo, Xiaoqian Lu, Linsey Pang +4

Embedded Language Flows (ELF) rely primarily on full non-causal attention for iterative denoising, repeatedly incurring quadratic sequence-mixing cost at each sampling step. Gated…

cs.AI2026

Cura 1T: Specialized Model for Agentic Healthcare

actAVA AI, :, Haolin Chen +9

Healthcare AI agents handle patient consultation, clinical reasoning over text and images, interactive diagnosis, and electronic health record (EHR) tool use, yet specialized agent…

cs.CL2026

CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?

Haolin Chen, Deon Metelski, Leon Qi +30

End-to-end automation of realistic healthcare operations stresses three capabilities underrepresented in current benchmarks: policy density, decisions must be grounded in a large l…

cs.CL2026

Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels

Zhepeng Cen, Haolin Chen, Shiyu Wang +8

Large Language Models (LLMs) have achieved remarkable success through imitation learning on vast text corpora, but this paradigm creates a training-generation gap and limits robust…

cs.SE2025

LoCoBench-Agent: An Interactive Benchmark for LLM Agents in Long-Context Software Engineering

Jielin Qiu, Zuxin Liu, Zhiwei Liu +18

As large language models (LLMs) evolve into sophisticated autonomous agents capable of complex software development tasks, evaluating their real-world capabilities becomes critical…

cs.LG2025

GeoGNN: Quantifying and Mitigating Semantic Drift in Text-Attributed Graphs

Liangwei Yang, Jing Ma, Jianguo Zhang +11

Graph neural networks (GNNs) on text--attributed graphs (TAGs) typically encode node texts using pretrained language models (PLMs) and propagate these embeddings through linear nei…