activity
20202023
most citedMacaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration

27 citations · 45 across the 13 of their papers we have counts for

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Showing 2023Show all

12 papers · 1 filter

cs.CL20231 cited

Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs

Longyue Wang, Zhaopeng Tu, Yan Gu +14

Translating literary works has perennially stood as an elusive dream in machine translation (MT), a journey steeped in intricate challenges. To foster progress in this domain, we h…

cs.CR2023

SyzTrust: State-aware Fuzzing on Trusted OS Designed for IoT Devices

Qinying Wang, Boyu Chang, Shouling Ji +8

Trusted Execution Environments (TEEs) embedded in IoT devices provide a deployable solution to secure IoT applications at the hardware level. By design, in TEEs, the Trusted Operat…

cs.CV2023

On the Cultural Gap in Text-to-Image Generation

Bingshuai Liu, Longyue Wang, Chenyang Lyu +4

One challenge in text-to-image (T2I) generation is the inadvertent reflection of culture gaps present in the training data, which signifies the disparity in generated image quality…

cs.CR2023

UVSCAN: Detecting Third-Party Component Usage Violations in IoT Firmware

Binbin Zhao, Shouling Ji, Xuhong Zhang +5

Nowadays, IoT devices integrate a wealth of third-party components (TPCs) in firmware to shorten the development cycle. TPCs usually have strict usage specifications, e.g., checkin…

cs.CL202327 cited

Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration

Chenyang Lyu, Minghao Wu, Longyue Wang +5

Although instruction-tuned large language models (LLMs) have exhibited remarkable capabilities across various NLP tasks, their effectiveness on other data modalities beyond text ha…

cs.CL20231 cited

Out-of-Distribution Generalization in Text Classification: Past, Present, and Future

Linyi Yang, Yaoxiao Song, Xuan Ren +6

Machine learning (ML) systems in natural language processing (NLP) face significant challenges in generalizing to out-of-distribution (OOD) data, where the test distribution differ…