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Wei-Chih Chen

5 accepted papers

2025

Breaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks

EMNLP 2025

Peer review is essential for maintaining academic quality, but the increasing volume of submissions places a significant burden on reviewers. Large language models (LLMs) offer potential assistance in this process, yet their susceptibility to textual adversarial attacks raises reliability concerns.

2025

Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks

ICLR 2025poster

Multimodal foundation models, such as Gemini and ChatGPT, have revolutionized human-machine interactions by seamlessly integrating various forms of data. Developing a universal spoken language model that comprehends a wide range of natural language instructions is critical for bridging communication…

2024

Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course

EMNLP 2024main

Using large language models (LLMs) for automatic evaluation has become an important evaluation method in NLP research. However, it is unclear whether these LLM-based evaluators can be effectively applied in real-world classrooms to assess student assignments. This empirical report shares how we use…

Cited by 8SourcePDFScholar
2019

System and VLSI Implementation of Phase-based View Synthesis

ICASSP 2019accepted

View synthesis is one of the important techniques utilized in 3D TV devices. Traditional methods such as depth image-based rendering usually rely on accurate depth maps which require computation-intensive stereo matching. In this work, we present a hardware system of phase-based view synthesis that…

Cited by 0SourceScholar