activity
20192026
most citedDELTA: A DEep learning based Language Technology plAtform

6 citations · 15 across the 21 of their papers we have counts for

collaborators
Showing 2025Show all

12 papers · 1 filter

cs.CV2025

Automating construction safety inspections using a multi-modal vision-language RAG framework

Chenxin Wang, Elyas Asadi Shamsabadi, Zhaohui Chen +3

Conventional construction safety inspection methods are often inefficient as they require navigating through large volume of information. Recent advances in large vision-language m…

cs.CL2025

Tongyi DeepResearch Technical Report

Tongyi DeepResearch Team, Baixuan Li, Bo Zhang +54

We present Tongyi DeepResearch, an agentic large language model, which is specifically designed for long-horizon, deep information-seeking research tasks. To incentivize autonomous…

cs.CL2025

Repurposing Synthetic Data for Fine-grained Search Agent Supervision

Yida Zhao, Kuan Li, Xixi Wu +11

LLM-based search agents are increasingly trained on entity-centric synthetic data to solve complex, knowledge-intensive tasks. However, prevailing training methods like Group Relat…

cs.AI2025

Cross-Cultural Transfer of Commonsense Reasoning in LLMs: Evidence from the Arab World

Saeed Almheiri, Rania Hossam, Mena Attia +4

Large language models (LLMs) often reflect Western-centric biases, limiting their effectiveness in diverse cultural contexts. Although some work has explored cultural alignment, th…

cs.CL2025

Scaling Agents via Continual Pre-training

Liangcai Su, Zhen Zhang, Guangyu Li +19

Large language models (LLMs) have evolved into agentic systems capable of autonomous tool use and multi-step reasoning for complex problem-solving. However, post-training approache…

cs.CV2025

RSCC: A Large-Scale Remote Sensing Change Caption Dataset for Disaster Events

Zhenyuan Chen, Chenxi Wang, Ningyu Zhang +1

Remote sensing is critical for disaster monitoring, yet existing datasets lack temporal image pairs and detailed textual annotations. While single-snapshot imagery dominates curren…