works on

From the 2 of 8 linked papers with an AI index.

collaborators

8 papers

cs.IR2026

Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language

Changjiang Han, Qingyang Li, Yaqiang Zang +4

The paper introduces a framework that uses personalized natural language prompts to inject hierarchical collaborative cues into LLM‑based generative recommendation models that outp…

cs.LG2026

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation

Ye Yuan, Weien Li, Rui Song +20

The paper proposes a unified framework for discrete denoising diffusion models that ties together tokenization, vocabulary design, and generation methods, showing how existing appr…

cs.AI2026

Herculean: An Agentic Benchmark for Financial Intelligence

Xueqing Peng, Zhuohan Xie, Yupeng Cao +60

As AI agents improve, the central question is no longer whether they can solve isolated well-defined financial tasks, but whether they can reliably carry out financial professional…

cs.CL2026

QUACK: Questioning, Understanding, and Auditing Communicated Knowledge in Multimodal Social Deduction Agents

Ye Yuan, Rui Song, Weien Li +12

Social deduction games have become a popular testbed for probing reasoning, deception, coordination, and belief modeling in Large Language Model (LLM) agents. However, most environ…

cs.LG2026

Support-Proximity Augmented Diffusion Estimation for Offline Black-Box Optimization

Yonghan Yang, Ye Yuan, Zipeng Sun +5

Offline black-box optimization aims to discover novel designs with high property scores using only a static dataset, a task fundamentally challenged by the out-of-distribution (OOD…

cs.LG2026

The Expressivity Boundary of Probabilistic Circuits: A Comparison with Large Language Models

Zhiyu Zhao, Xuejie Liu, Muhan Zhang +1

Probabilistic Circuits (PCs) are deep generative models that support exact and efficient probabilistic inference. Yet in autoregressive language modeling, PCs still lag behind Tran…