activity
20242026
collaborators

8 papers

cs.RO2026

Closing the Reality Gap: Zero-Shot Sim-to-Real Deployment for Dexterous Force-Based Grasping and Manipulation

Zhe Zhao, Zhibin Li, Yilin Ou +1

Human-like dexterous hands with multiple fingers offer human-level manipulation capabilities but remain difficult to train the control policies that can deploy on real hardware due…

cs.LG2026

FORESTLLM: Large Language Models Make Random Forest Great on Few-shot Tabular Learning

Zhihan Yang, Jiaqi Wei, Xiang Zhang +6

Tabular data high-stakes critical decision-making in domains such as finance, healthcare, and scientific discovery. Yet, learning effectively from tabular data in few-shot settings…

cs.RO2026

Closing the Reality Gap: Zero-Shot Sim-to-Real Deployment for Dexterous Force-Based Grasping and Manipulation

Zhe Zhao, Haoyu Dong, Zhengmao He +3

Human-like dexterous hands with multiple fingers offer human-level manipulation capabilities, but training control policies that can directly deploy on real hardware remains diffic…

cs.CL2026

LitVISTA: A Benchmark for Narrative Orchestration in Literary Text

Mingzhe Lu, Yiwen Wang, Yanbing Liu +8

Computational narrative analysis aims to capture rhythm, tension, and emotional dynamics in literary texts. Existing large language models can generate long stories but overly focu…

cs.AI2025

Finch: Benchmarking Finance & Accounting across Spreadsheet-Centric Enterprise Workflows

Haoyu Dong, Pengkun Zhang, Yan Gao +6

We introduce FinWorkBench (a.k.a. Finch) for evaluating AI agents on real-world, enterprise-grade finance and accounting workflows that interleave data entry, structuring, formatti…

cs.CL2025

MachineLearningLM: Scaling Many-shot In-context Learning via Continued Pretraining

Haoyu Dong, Pengkun Zhang, Mingzhe Lu +2

Large language models (LLMs) possess broad world knowledge and strong general-purpose reasoning ability, yet they struggle to learn from many in-context examples on standard machin…

cs.CV2025

Mem4Nav: Boosting Vision-and-Language Navigation in Urban Environments with a Hierarchical Spatial-Cognition Long-Short Memory System

Lixuan He, Haoyu Dong, Zhenxing Chen +3

Vision-and-Language Navigation (VLN) in large-scale urban environments requires embodied agents to ground linguistic instructions in complex scenes and recall relevant experiences…

cs.CL2024

NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries

Wei Zhao, Zhitao Hou, Siyuan Wu +6

Writing formulas on spreadsheets, such as Microsoft Excel and Google Sheets, is a widespread practice among users performing data analysis. However, crafting formulas on spreadshee…