collaborators

7 papers

cs.CL2026

Towards Communication-Efficient Social Intelligence in Language Agents

Linxiao Gong, Yijie Xu, Tianfu Wang +7

Socially intelligent language agents must negotiate, coordinate, and resolve conflicting preferences while respecting the time and attention of both participants. Balancing these d…

cs.SE2026

Scaling Human-AI Coding Collaboration Requires a Governable Consensus Layer

Tianfu Wang, Zhezheng Hao, Yin Wu +7

Vibe coding turns natural-language intent into working software, but code generation alone does not give humans and agents a shared account of what they are building. As collaborat…

cs.IR2026

Decoding Ancient Oracle Bone Script via Generative Dictionary Retrieval

Yin Wu, Gangjian Zhang, Jiayu Chen +4

Understanding humanity's earliest writing systems is crucial for reconstructing civilization's origins, yet many ancient scripts remain undeciphered. Oracle Bone Script (OBS) from…

cs.HC2026

EvoDesign: Agentic Editable Diagram Creation via Design Expertise Evolution

Tianfu Wang, Leilei Ding, Ziyang Tao +13

High-fidelity diagram creation requires the complex orchestration of semantic topology, visual styling, and spatial layout, posing a significant challenge for automated systems. Ex…

cs.CL2025

DataPuzzle: Breaking Free from the Hallucinated Promise of LLMs in Data Analysis

Zhengxuan Zhang, Zhuowen Liang, Yin Wu +3

Large language models (LLMs) are increasingly applied to multi-modal data analysis -- not necessarily because they offer the most precise answers, but because they provide fluent,…

cs.IR2025

EXCLAIM: An Explainable Cross-Modal Agentic System for Misinformation Detection with Hierarchical Retrieval

Yin Wu, Zhengxuan Zhang, Fuling Wang +3

Misinformation continues to pose a significant challenge in today's information ecosystem, profoundly shaping public perception and behavior. Among its various manifestations, Out-…

cs.CV2025

Fine-Grained Knowledge Structuring and Retrieval for Visual Question Answering

Zhengxuan Zhang, Yin Wu, Yuyu Luo +1

Visual Question Answering (VQA) focuses on providing answers to natural language questions by utilizing information from images. Although cutting-edge multimodal large language mod…