collaborators

8 papers

cs.IR2026

ODTQA-FoRe: An Open-Domain Tabular Question Answering Dataset for Future Data Forecasting and Reasoning

Zhensheng Wang, Xiaole Liu, Wenmian Yang +3

The rapid development of LLMs has significantly advanced tabular question answering, but most systems cannot perform future-oriented numerical prediction. To address this gap, we i…

cs.CL2026

BacktestBench: Benchmarking Large Language Models for Automated Quantitative Strategy Backtesting

Zhensheng Wang, Wenmian Yang, Qingtai Wu +3

Quantitative backtesting is essential for evaluating trading strategies but remains hampered by high technical barriers and limited scalability. While Large Language Models (LLMs)…

cs.CL2026

ReCoQA: A Benchmark for Tool-Augmented and Multi-Step Reasoning in Real Estate Question and Answering

Yindong Zhang, Wenmian Yang, Yiquan Zhang +1

Developing agents capable of navigating fragmented, multi-source information remains challenging, primarily due to the scarcity of benchmarks reflecting hybrid workflows combining…

cs.CL2026

Automatic Slide Updating with User-Defined Dynamic Templates and Natural Language Instructions

Kun Zhou, Jiakai He, Wenmian Yang +3

Presentation slides are a primary medium for data-driven reporting, yet keeping complex, analytics-style decks up to date remains labor-intensive. Existing automation methods mostl…

cs.CL2026

ODUTQA-MDC: A Task for Open-Domain Underspecified Tabular QA with Multi-turn Dialogue-based Clarification

Zhensheng Wang, ZhanTeng Lin, Wenmian Yang +3

The advancement of large language models (LLMs) has enhanced tabular question answering (Tabular QA), yet they struggle with open-domain queries exhibiting underspecified or uncert…

cs.CV2025

HiGarment: Cross-modal Harmony Based Diffusion Model for Flat Sketch to Realistic Garment Image

Junyi Guo, Jingxuan Zhang, Fangyu Wu +5

Diffusion-based garment synthesis tasks primarily focus on the design phase in the fashion domain, while the garment production process remains largely underexplored. To bridge thi…