5 citations · 8 across the 14 of their papers we have counts for
14 papers
MemeBridge: A Dataset for Benchmarking and Mitigating the Bidirectional Cultural Gap in Meme Interpretation
Hangxiao Zhu, Suliu Qin, Zhuoyan Li +3
Communicating across cultures is inherently challenging, especially through culturally dense and ambiguous formats like memes. While people expect large language models (LLMs) to h…
dVLM-AD: Enhance Diffusion Vision-Language-Model for Driving via Controllable Reasoning
Yingzi Ma, Yulong Cao, Wenhao Ding +6
The autonomous driving community is increasingly focused on addressing the challenges posed by out-of-distribution (OOD) driving scenarios. A dominant research trend seeks to enhan…
V-SEAM: Visual Semantic Editing and Attention Modulating for Causal Interpretability of Vision-Language Models
Qidong Wang, Junjie Hu, Ming Jiang
Recent advances in causal interpretability have extended from language models to vision-language models (VLMs), seeking to reveal their internal mechanisms through input interventi…
AT-CXR: Uncertainty-Aware Agentic Triage for Chest X-rays
Xueyang Li, Mingze Jiang, Gelei Xu +4
Agentic AI is advancing rapidly, yet truly autonomous medical-imaging triage, where a system decides when to stop, escalate, or defer under real constraints, remains relatively und…
SIMCOPILOT: Evaluating Large Language Models for Copilot-Style Code Generation
Mingchao Jiang, Abhinav Jain, Sophia Zorek +1
We introduce SIMCOPILOT, a benchmark that simulates the role of large language models (LLMs) as interactive, "copilot"-style coding assistants. Targeting both completion (finishing…
No Preference Left Behind: Group Distributional Preference Optimization
Binwei Yao, Zefan Cai, Yun-Shiuan Chuang +4
Preferences within a group of people are not uniform but follow a distribution. While existing alignment methods like Direct Preference Optimization (DPO) attempt to steer models t…
Class-RAG: Real-Time Content Moderation with Retrieval Augmented Generation
Jianfa Chen, Emily Shen, Trupti Bavalatti +10
Robust content moderation classifiers are essential for the safety of Generative AI systems. In this task, differences between safe and unsafe inputs are often extremely subtle, ma…
Large Language Models Are Active Critics in NLG Evaluation
Shuying Xu, Junjie Hu, Ming Jiang
The conventional paradigm of using large language models (LLMs) for natural language generation (NLG) evaluation relies on pre-defined task definitions and evaluation criteria, pos…
How Well Do LLMs Identify Cultural Unity in Diversity?
Jialin Li, Junli Wang, Junjie Hu +1
Much work on the cultural awareness of large language models (LLMs) focuses on the models' sensitivity to geo-cultural diversity. However, in addition to cross-cultural differences…
Lookahead Exploration with Neural Radiance Representation for Continuous Vision-Language Navigation
Zihan Wang, Xiangyang Li, Jiahao Yang +4
Vision-and-language navigation (VLN) enables the agent to navigate to a remote location following the natural language instruction in 3D environments. At each navigation step, the…
Prompting Large Vision-Language Models for Compositional Reasoning
Timothy Ossowski, Ming Jiang, Junjie Hu
Vision-language models such as CLIP have shown impressive capabilities in encoding texts and images into aligned embeddings, enabling the retrieval of multimodal data in a shared e…
CPopQA: Ranking Cultural Concept Popularity by LLMs
Ming Jiang, Mansi Joshi
Prior work has demonstrated large language models' (LLMs) potential to discern statistical tendencies within their pre-training corpora. Despite that, many examinations of LLMs' kn…
CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model
Yang Lei, Jiangtong Li, Dawei Cheng +2
Large language models (LLMs) have demonstrated great potential in the financial domain. Thus, it becomes important to assess the performance of LLMs in the financial tasks. In this…
MapSeg: Segmentation guided structured model for online HD map construction
Mingchao Jiang, Yin Cheng, Linghai Liu
The development of online high-definition maps is significant since they provide real-time, accurate, and updatable geographic information for location-based applications, such as…