41 citations · 111 across the 21 of their papers we have counts for
17 papers · 1 filter
EMMM, Explain Me My Model! Explainable Machine Generated Text Detection in Dialogues
Angela Yifei Yuan, Haoyi Li, Soyeon Caren Han +1
The rapid adoption of large language models (LLMs) in customer service introduces new risks, as malicious actors can exploit them to conduct large-scale user impersonation through…
MAGIC-VQA: Multimodal And Grounded Inference with Commonsense Knowledge for Visual Question Answering
Shuo Yang, Siwen Luo, Soyeon Caren Han +1
Visual Question Answering (VQA) requires reasoning across visual and textual modalities, yet Large Vision-Language Models (LVLMs) often lack integrated commonsense knowledge, limit…
SPADE: Structured Prompting Augmentation for Dialogue Enhancement in Machine-Generated Text Detection
Haoyi Li, Angela Yifei Yuan, Soyeon Caren Han +1
The increasing capability of large language models (LLMs) to generate synthetic content has heightened concerns about their misuse, driving the development of Machine-Generated Tex…
A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation (GALI)
Yan Li, Tianyi Zhang, Zechuan Li +1
Transformer-based Large Language Models (LLMs) struggle with inputs exceeding their training context window due to positional out-of-distribution (O.O.D.) issues that disrupt atten…
Graph-Based Multimodal Contrastive Learning for Chart Question Answering
Yue Dai, Soyeon Caren Han, Wei Liu
Chart question answering (ChartQA) is challenged by the heterogeneous composition of chart elements and the subtle data patterns they encode. This work introduces a novel joint mul…
Multimodal Commonsense Knowledge Distillation for Visual Question Answering
Shuo Yang, Siwen Luo, Soyeon Caren Han
Existing Multimodal Large Language Models (MLLMs) and Visual Language Pretrained Models (VLPMs) have shown remarkable performances in the general Visual Question Answering (VQA). H…