works on

From the 1 of 7 linked papers with an AI index.

activity
20242026
collaborators

7 papers

cs.CL2026

BridgeAlign: Bridging Preference Alignment for Humanities and Social Sciences

Ru Peng, Haokai Xu, Xijun Gu +11

BridgeAlign introduces a three-stage pipeline that creates and uses synthetic preference data to align large language models with nuanced quality judgments in humanities and social…

cs.CL2026

Learning What Matters: Dynamic Dimension Selection and Aggregation for Interpretable Vision-Language Reward Modeling

Qiyuan Chen, Hongsen Huang, Jiahe Chen +6

Vision-language reward modeling faces a dilemma: generative approaches are interpretable but slow, while discriminative ones are efficient but act as opaque "black boxes." To bridg…

cs.CL2025

CC-GSEO-Bench: A Content-Centric Benchmark for Measuring Source Influence in Generative Search Engines

Qiyuan Chen, Jiahe Chen, Hongsen Huang +7

Generative Search Engines (GSEs) synthesize conversational answers from multiple sources, weakening the long-standing link between search ranking and digital visibility. This shift…

cs.CL2025

Icon: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation

Qiyuan Chen, Hongsen Huang, Qian Shao +6

Large Language Models (LLMs) require high quality preference datasets to align with human preferences. However, conventional methods for constructing such datasets face significant…

eess.SP2025

AnyECG: Foundational Models for Multitask Cardiac Analysis in Real-World Settings

Yue Wang, Xu Cao, Yaojun Hu +7

Electrocardiogram (ECG), a non-invasive and affordable tool for cardiac monitoring, is highly sensitive in detecting acute heart attacks. However, due to the lengthy nature of ECG…

cs.CL2025

Small Models are LLM Knowledge Triggers on Medical Tabular Prediction

Jiahuan Yan, Jintai Chen, Chaowen Hu +4

Recent development in large language models (LLMs) has demonstrated impressive domain proficiency on unstructured textual or multi-modal tasks. However, despite with intrinsic worl…