activity
20192026
most citedGODIVA: Generating Open-DomaIn Videos from nAtural Descriptions

78 citations · 80 across the 15 of their papers we have counts for

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Showing 2025Show all

8 papers · 1 filter

cs.CL2025

Step-DeepResearch Technical Report

Chen Hu, Haikuo Du, Heng Wang +64

As LLMs shift toward autonomous agents, Deep Research has emerged as a pivotal metric. However, existing academic benchmarks like BrowseComp often fail to meet real-world demands f…

cs.CL2025

Dual-Density Inference for Efficient Language Model Reasoning

Zhengyi Zhao, Shubo Zhang, Yuxi Zhang +3

Large Language Models (LLMs) have shown impressive capabilities in complex reasoning tasks. However, current approaches employ uniform language density for both intermediate reason…

cs.AI2025

MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models

Zhengyi Zhao, Shubo Zhang, Yuxi Zhang +10

Memes have emerged as a popular form of multimodal online communication, where their interpretation heavily depends on the specific context in which they appear. Current approaches…

cs.CL2025

T: An Adaptive Test-Time Scaling Strategy for Contextual Question Answering

Zhengyi Zhao, Shubo Zhang, Zezhong Wang +7

Recent advances in Large Language Models (LLMs) have demonstrated remarkable performance in Contextual Question Answering (CQA). However, prior approaches typically employ elaborat…

cs.CL2025★ 2 cited

WHERE and WHICH: Iterative Debate for Biomedical Synthetic Data Augmentation

Zhengyi Zhao, Shubo Zhang, Bin Liang +2

In Biomedical Natural Language Processing (BioNLP) tasks, such as Relation Extraction, Named Entity Recognition, and Text Classification, the scarcity of high-quality data remains…

cs.CL2025

FReM: A Flexible Reasoning Mechanism for Balancing Quick and Slow Thinking in Long-Context Question Answering

Zhengyi Zhao, Shubo Zhang, Zezhong Wang +3

Long-context question-answering (LCQA) systems have greatly benefited from the powerful reasoning capabilities of large language models (LLMs), which can be categorized into slow a…

cs.CL2025

EventWeave: A Dynamic Framework for Capturing Core and Supporting Events in Dialogue Systems

Zhengyi Zhao, Shubo Zhang, Yiming Du +5

Large language models have improved dialogue systems, but often process conversational turns in isolation, overlooking the event structures that guide natural interactions. Hence w…

cs.CL2025

Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models

Zhenghao Lin, Zihao Tang, Xiao Liu +31

We introduce Sigma, an efficient large language model specialized for the system domain, empowered by a novel architecture including DiffQKV attention, and pre-trained on our metic…