2 citations · 8 across the 14 of their papers we have counts for
15 papers
Are Large Language Models Reliable Reviewers? A Benchmark for Error Detection in Financial Documents
Ying He, Zhouhong Gu, Zhecheng Hu +8
Ensuring the accuracy of financial documents is critical for economic analysis, regulatory compliance, and corporate decision-making. Several studies have shown that Large Language…
HOTVCOM: Generating Buzzworthy Comments for Videos
Yuyan Chen, Yiwen Qian, Songzhou Yan +6
In the era of social media video platforms, popular ``hot-comments'' play a crucial role in attracting user impressions of short-form videos, making them vital for marketing and br…
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models
Yuyan Chen, Qiang Fu, Ge Fan +6
Recent years, Pre-trained Language models (PLMs) have swept into various fields of artificial intelligence and achieved great success. However, most PLMs, such as T5 and GPT3, have…
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models
Yuyan Chen, Qiang Fu, Yichen Yuan +6
Large Language Models (LLMs) have gained widespread adoption in various natural language processing tasks, including question answering and dialogue systems. However, a major drawb…
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
Yuyan Chen, Zhihao Wen, Ge Fan +6
Prompt engineering, as an efficient and effective way to leverage Large Language Models (LLM), has drawn a lot of attention from the research community. The existing research prima…
XMeCap: Meme Caption Generation with Sub-Image Adaptability
Yuyan Chen, Songzhou Yan, Zhihong Zhu +2
Humor, deeply rooted in societal meanings and cultural details, poses a unique challenge for machines. While advances have been made in natural language processing, real-world humo…
VCEval: Rethinking What is a Good Educational Video and How to Automatically Evaluate It
Xiaoxuan Zhu, Zhouhong Gu, Sihang Jiang +3
Online courses have significantly lowered the barrier to accessing education, yet the varying content quality of these videos poses challenges. In this work, we focus on the task o…
ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models
Haiquan Zhao, Lingyu Li, Shisong Chen +11
Emotion Support Conversation (ESC) is a crucial application, which aims to reduce human stress, offer emotional guidance, and ultimately enhance human mental and physical well-bein…
AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation
Wenhao Huang, Zhouhong Gu, Chenghao Peng +5
Web scraping is a powerful technique that extracts data from websites, enabling automated data collection, enhancing data analysis capabilities, and minimizing manual data entry ef…
Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases
Wenhao Huang, Qianyu He, Zhixu Li +2
Definition bias is a negative phenomenon that can mislead models. Definition bias in information extraction appears not only across datasets from different domains but also within…
OVEL: Large Language Model as Memory Manager for Online Video Entity Linking
Haiquan Zhao, Xuwu Wang, Shisong Chen +3
In recent years, multi-modal entity linking (MEL) has garnered increasing attention in the research community due to its significance in numerous multi-modal applications. Video, a…
A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics
Xiangru Zhu, Penglei Sun, Chengyu Wang +4
Text-to-image (T2I) synthesis has recently achieved significant advancements. However, challenges remain in the model's compositionality, which is the ability to create new combina…
M^2ConceptBase: A Fine-Grained Aligned Concept-Centric Multimodal Knowledge Base
Zhiwei Zha, Jiaan Wang, Zhixu Li +3
Multimodal knowledge bases (MMKBs) provide cross-modal aligned knowledge crucial for multimodal tasks. However, the images in existing MMKBs are generally collected for entities in…
Source Prompt: Coordinated Pre-training of Language Models on Diverse Corpora from Multiple Sources
Yipei Xu, Dakuan Lu, Jiaqing Liang +7
Pre-trained language models (PLMs) have established the new paradigm in the field of NLP. For more powerful PLMs, one of the most popular and successful way is to continuously scal…
Scene-Driven Multimodal Knowledge Graph Construction for Embodied AI
Song Yaoxian, Sun Penglei, Liu Haoyu +4
Embodied AI is one of the most popular studies in artificial intelligence and robotics, which can effectively improve the intelligence of real-world agents (i.e. robots) serving hu…